Peter Luh

Peter Luh, a giant in the field of automation research and an important volunteer in IEEE, passed away on 28 November 2022. 

Peter worked as a Professor of Electrical and Systems Engineering at the University of Connecticut for over 40 years. Ken Goldberg, a RAS Member and the William S. Floyd Jr. Distinguished Chair in Engineering at UC Berkeley, writes the following: “Peter Luh was dedicated to raising the profile of Automation in many ways. He co-founded the IEEE Transactions on Automation Science and Engineering (T-ASE) and served as its first Editor-in-Chief, where he provided the guidance, integrity, and high standards needed to successfully launch it.”

A funeral was held on 5 December; a recording is available and can be watched here. What follows below is quoted from Peter’s obituary:

In lieu of flowers, donations may be made in memory of Prof. Peter Luh to the “Prof. Peter Luh Fellowship for Graduate Student Support” at the University of Connecticut Foundation, Inc. Checks made payable to the UConn Foundation, Inc., should include the memo “Peter B. Luh Memorial” and can be mailed to:

The UConn Foundation, Inc.
Attn: Data Services
2390 Alumni Dr., Unit 3206
Storrs, CT 06269-3206

Fond memories and expressions of sympathy may be shared at www.DemaineFuneralHomes.com for the Luh family.

 

A longer in memoriam article for Peter will appear in the next issue of the IEEE Robotics & Automation Magazine.

The RAS community extends its deepest sympathy to Peter’s wife Chwenhwa and his family as we remember Peter and his many contributions to the automation community, RAS, and humanity.

Congratulations to the IEEE Robotics and Automation Society members recently elevated to Senior Member status by the IEEE Admission and Advancement Senior Member Review Panel.

To be eligible for application or nomination, candidates must

  • be engineers, scientists, educators, technical executives, or originators in IEEE-designated fields
  • have experience reflecting professional maturity
  • have been in professional practice for at least 10 years (with some credit for certain degrees)

In addition, candidates for Senior Member status must supply three references from current IEEE members holding the grade of Fellow, Senior Member, or Honorary Member. For more information, click here or email senior-member@ieee.org. The names and affiliations of the new Senior Members are as follows, listed alphabetically by region:

 

Region 1

Souma Chowdhury

Buffalo Section

Jignesh Panchal

Princeton/Central Jersey Section

Karthik Dantu

Buffalo Section

Region 2

Amy LaViers

Philadelphia Section

Region 3

Hao Su

Eastern North Carolina Section

Region 4

Bhushan Dharmadhikari

Southern Minnesota Section

Michael Newcomb

Nebraska Section

Eric Waydick

Milwaukee Section

Vijay Venkataraman

Twin Cities Section

Region 5

Phillip Gold

Denver Section

Xiaoli Zhang

Denver Section

Region 6

Bruce Boyes

Utah Section

Youssef Rokes

Metropolitan Los Angeles Section

Yuan Zhuang

Santa Clara Valley Section

Region 7

Ahmad Al-Dabbagh

Toronto Section

Ehsan Hashemi

Northern Canada Section

Region 8

Aamir Ahmad

Germany Section

Mahdi Bamdad

Iran Section

Andreas Bihlmaier

Germany Section

Vahid Samadi Bokharaie

Germany Section

Cosimo Della Santina

Benelux Section

Mauro Franceschelli

Italy Section

Yassen Gorbounov

Bulgaria Section

Zhanat Kappassov

Kazakhstan Subsection

Miklos Kozlovszky

Hungary Section

Mikko Lauri

Germany Section

Shayok Mukhopadhyay

United Arab Emirates Section

Gionata Salvietti

Italy Section

Tadele Tuli

Germany Section

Gurvinder Virk

United Kingdom and Ireland Section

Region 9

Rene Avila

Colombia Section

Julio Cuenca

Ecuador Section

Tiago DoNascimento

Northeast Brazil Section

Ma. Guadalupe Ortiz-Lopez

Guanajuato Section

Luis Serpa

Ecuador Section

Juan Tisza

Peru Section

Region 10

Aylchino Louise Philip A. Alcantara

Republic of Philippines Section

Maleeha Azeez

Kerala Section

Bingtuan Gao

Nanjing Section

Chengzhi Hu

Guangzhou Section

Sumit Jha

Delhi Section

Mohanraj Kalidass

Madras Section

Yasir Khan

Lahore Section

Hanna Kurniawati

Australian Capital Terr Section

Akio Kurobe

Kansai Section

Xiang Li

Beijing Section

Arvind Reddy Maram

Hyderabad Section

Jianjun Meng

Beijing Section

Hiroyuki Murata

Nagoya Section

Mani Narayanasamy

Madras Section

Shantipal Ohol

Pune Section

Thierry Peynot

Queensland Section

Arunkumar R

Madras Section

Sreekanth R

Madras Section

Sreeja S

Kerala Section

Gayatri Sakya

Uttar Pradesh Section

Murali Sivanesan

Madras Section

Jin-Ho Suh

Seoul Section

Weiqun Wang

Beijing Section

The 2023 IEEE/SICE International Symposium on System Integration (SII) will take place in Atlanta on 17­–20 January 2023.

Early Bird registration is now open, and the deadline is 15 December.

With the submission deadline of IROS 2023 and other exciting RAS conferences on the horizon, please consider participating as a Senior Reviewer in the Young Reviewers Program(YRP) of the IEEE Robotics and Automation Society (RAS).

The YRP is intended to introduce young RAS members to best practices in peer review for scientific papers. Effective peer review is crucial for the scientific community, yet systematic training in peer review is often not provided. As a Senior Reviewer, you can give reviewing assignments to Junior Reviewers, and you oversee the review process in a mentor-mentee relationship. Agreeing to serve will not increase the number of papers that you review. Only papers that you have already agreed to review would be eligible for the YRP. In this way, there should be no net increase in your reviewing workload. The time you would normally spend writing a careful review would be invested instead in cultivating skills in a Junior Reviewer.

As a Senior Reviewer, you can email a Junior Reviewer listed on the YRP website. Assign to the Junior Reviewer one paper that you have been asked to review and then work with the Junior Reviewer to write and improve the review, which you will submit via PaperPlaza.

You may also ask competent members of your research group to join the YRP as Junior Reviewers and elect to work with them. Typically, a Junior Reviewer would be a doctoral graduate student or a post-doc, whereas a Senior Advisor would be the one who can be an academic advisor or a research supervisor of those Junior Reviewers. Reviewer applications will be evaluated by the YRP Chairs listed below.

Additionally, the YRP recently started to promote reviewing best practices throughout the entire RAS community with dedicated events and online material. The first YRP event was held online right after ICRA 2023 paper submission deadline; you can find the information and recordings here. And stay tuned for upcoming events!

Details of Eligibility and Procedure

Please sign up via the YRP website here.

YRP Chairs

Marta Lorenzini (IEEE-RAS YRP Executive Manager – marta.lorenzini@iit.it)

Paolo Robuffo Giordano (IEEE-RAS YRP Executive Manager - paolo.robuffo_giordano@irisa.fr)

YRP Advisory Board

Marco Morales (IEEE-RAS YRP Website Manager)

Arash Ajoudani (IEEE-RAS Chair of Young Professionals)

Nancy Amato (IEEE-RAS MAB member)

kumar vijay

Vijay Kumar, a RAS Member and the Nemirovsky Family Dean of the School of Engineering and Applied Science at the University of Pennsylvania, was named a National Academy of Inventors (NAI) Fellow for 2022. RAS congratulates Professor Kumar on receiving this most prestigious honor.

You can read more about the NAI Fellows Program and Professor Kumar’s achievements here.

We are pleased to announce that the December 2022 issue of IEEE Robotics & Automation Magazine on biomimetic perception, cognition, and control (Volume 29, Issue 4) is now available on IEEE Xplore. Click here for the table of contents, and check out the issue now on Xplore!

Front Cover 12 2022

We are pleased to announce that a new issue of IEEE Transactions on Robotics (Volume 38, Issue 6, December 2022) is now available on IEEE Xplore. Click here for the table of contents, and check out the issue now on Xplore!

We are pleased to announce that the following IEEE Robotics and Automation Letters (RA-L) papers are now available on Xplore.


“Self-Supervised Monocular Depth Estimation with Isometric-Self-Sample-Based Learning”
G. Cha; H. -D. Jang; D. Wee

“Permanent-magnetically Amplified Robotic Gripper with Less Clamping Width Influence on Compensation Realized by a Stepless Width Adjustment Mechanism”
T. Shimizu; K. Tadakuma; M. Watanabe; K. Abe; M. Konyo; S. Tadokoro

“Robust Adaptive Ensemble Adversary Reinforcement Learning”
P. Zhai; T. Hou; X. Ji; Z. Dong; L. Zhang

“Planning Irregular Object Packing via Hierarchical Reinforcement Learning”
S. Huang; Z. Wang; J. Zhou; J. Lu

“Autonomous Dozer Sand Grading Under Localization Uncertainties”
Y. Miron; Y. Goldfracht; C. Ross; D. D. Castro; I. Klein

“Learning Stable Vector Fields on Lie Groups”
J. Urain; D. Tateo; J. Peters

“A Palm-Sized Omnidirectional Mobile Robot Driven by 2-DOF Torus Wheels”
Y. Sato; A. Kanada; T. Mashimo

“BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM”
Y. Cui; X. Chen; Y. Zhang; J. Dong; Q. Wu; F. Zhu

“A CoppeliaSim Dynamic Simulator for the Da Vinci Research Kit”
M. Ferro; A. Mirante; F. Ficuciello; M. Vendittelli

“Overload Clutch With Integrated Torque Sensing and Decoupling Detection for Collision Tolerant Hybrid High-Speed Industrial Cobots”
F. Ostyn; B. Vanderborght; G. Crevecoeur

“ViewBirdiformer: Learning to recover ground-plane crowd trajectories and ego-motion from a single ego-centric view”
M. Nishimura; S. Nobuhara; K. Nishino

“A Novel Metamorphic Foot Mechanism With Toe Joints Based on Spring-Loaded Linkages”
J. Sun; Z. Wang; M. Zhang; S. Zhang; Z. Qian; J. Chu

“A Framework for Robot Self-Assessment of Expected Task Performance”
T. Frasca; M. Scheutz

“SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor”
S. Zhao; P. Yin; G. Yi; S. Scherer

“Towards a Discrete Snake-like Robot Based on SMA-actuated Tristable Modules For Follow The Leader Control Strategy”
B. Calmé; L. Rubbert; Y. Haddab

“Guided Spatial Propagation Network for Depth Completion”
L. Chen; Q. Li

“Real-time Hetero-Stereo Matching for Event and Frame Camera with Aligned Events Using Maximum Shift Distance”
H. Kim; S. Lee; J. Kim; H. J. Kim

“Manufacturing and Design of Inflatable Kirigami Actuators”
S. Chung; A. Coutinho; H. Rodrigue

“Hardware-Accelerated Mars Sample Localization Via Deep Transfer Learning From Photorealistic Simulations”
R. Castilla-Arquillo; C. Pérez-del-Pulgar; G. J. Paz-Delgado; L. Gerdes

“P-satI-D Shape Regulation of Soft Robots”
P. Pustina; P. Borja; C. D. Santina; A. De Luca

“Sigma-FP: Robot Mapping of 3D Floor Plans With an RGB-D Camera Under Uncertainty”
J. -L. Matez-Bandera; J. Monroy; J. Gonzalez-Jimenez

“Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion”
T. -C. Çallar; S. Böttger

“Risk-Aware Fast Trajectory Planner for Uncertain Environments Based on Probabilistic Surrogate Reliability and Risk Contours”
G. -B. Wang

“EB-LG Module for 3D Point Cloud Classification and Segmentation”
J. Chen; Y. Zhang; F. Ma; Z. Tan


“Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline”
Z. Lin; J. Yu; L. Zhou; X. Zhang; J. Wang; Y. Wang

“Robot Navigation in Complex Workspaces Using Conformal Navigation Transformations”
L. Fan; J. Liu; W. Zhang; P. Xu

We are pleased to announce that the following IEEE Robotics and Automation Letters (RA-L) papers are now available on Xplore.


“Self-Supervised Monocular Depth Estimation with Isometric-Self-Sample-Based Learning”
G. Cha; H. -D. Jang; D. Wee

“Permanent-magnetically Amplified Robotic Gripper with Less Clamping Width Influence on Compensation Realized by a Stepless Width Adjustment Mechanism”
T. Shimizu; K. Tadakuma; M. Watanabe; K. Abe; M. Konyo; S. Tadokoro

“Robust Adaptive Ensemble Adversary Reinforcement Learning”
P. Zhai; T. Hou; X. Ji; Z. Dong; L. Zhang

“Planning Irregular Object Packing via Hierarchical Reinforcement Learning”
S. Huang; Z. Wang; J. Zhou; J. Lu

“Autonomous Dozer Sand Grading Under Localization Uncertainties”
Y. Miron; Y. Goldfracht; C. Ross; D. D. Castro; I. Klein

“Learning Stable Vector Fields on Lie Groups”
J. Urain; D. Tateo; J. Peters

“A Palm-Sized Omnidirectional Mobile Robot Driven by 2-DOF Torus Wheels”
Y. Sato; A. Kanada; T. Mashimo

“BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM”
Y. Cui; X. Chen; Y. Zhang; J. Dong; Q. Wu; F. Zhu

“A CoppeliaSim Dynamic Simulator for the Da Vinci Research Kit”
M. Ferro; A. Mirante; F. Ficuciello; M. Vendittelli

“Overload Clutch With Integrated Torque Sensing and Decoupling Detection for Collision Tolerant Hybrid High-Speed Industrial Cobots”
F. Ostyn; B. Vanderborght; G. Crevecoeur

“ViewBirdiformer: Learning to recover ground-plane crowd trajectories and ego-motion from a single ego-centric view”
M. Nishimura; S. Nobuhara; K. Nishino

“A Novel Metamorphic Foot Mechanism With Toe Joints Based on Spring-Loaded Linkages”
J. Sun; Z. Wang; M. Zhang; S. Zhang; Z. Qian; J. Chu

“A Framework for Robot Self-Assessment of Expected Task Performance”
T. Frasca; M. Scheutz

“SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor”
S. Zhao; P. Yin; G. Yi; S. Scherer

“Towards a Discrete Snake-like Robot Based on SMA-actuated Tristable Modules For Follow The Leader Control Strategy”
B. Calmé; L. Rubbert; Y. Haddab

“Guided Spatial Propagation Network for Depth Completion”
L. Chen; Q. Li

“Real-time Hetero-Stereo Matching for Event and Frame Camera with Aligned Events Using Maximum Shift Distance”
H. Kim; S. Lee; J. Kim; H. J. Kim

“Manufacturing and Design of Inflatable Kirigami Actuators”
S. Chung; A. Coutinho; H. Rodrigue

“Hardware-Accelerated Mars Sample Localization Via Deep Transfer Learning From Photorealistic Simulations”
R. Castilla-Arquillo; C. Pérez-del-Pulgar; G. J. Paz-Delgado; L. Gerdes

“P-satI-D Shape Regulation of Soft Robots”
P. Pustina; P. Borja; C. D. Santina; A. De Luca

“Sigma-FP: Robot Mapping of 3D Floor Plans With an RGB-D Camera Under Uncertainty”
J. -L. Matez-Bandera; J. Monroy; J. Gonzalez-Jimenez

“Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion”
T. -C. Çallar; S. Böttger

“Risk-Aware Fast Trajectory Planner for Uncertain Environments Based on Probabilistic Surrogate Reliability and Risk Contours”
G. -B. Wang

“EB-LG Module for 3D Point Cloud Classification and Segmentation”
J. Chen; Y. Zhang; F. Ma; Z. Tan


“Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline”
Z. Lin; J. Yu; L. Zhou; X. Zhang; J. Wang; Y. Wang

“Robot Navigation in Complex Workspaces Using Conformal Navigation Transformations”
L. Fan; J. Liu; W. Zhang; P. Xu

“Multi-Level Structure-Enhanced Network for 3D Single Object Tracking in Sparse Point Clouds”
Q. Wu; C. Sun; J. Wang

“Grasp Stability and Design Analysis of a Flexure-Jointed Gripper Mechanism via Efficient Energy-Based Modeling”
P. Kuresangsai; M. O. T. Cole; G. Hao

“A Markov Chain Model for Workflow Analysis in Operating Rooms”
H. Zheng; Q. Wang; J. Li

“Continuous-Time Trajectory Estimation for Differentially Flat Systems”
J. C. Johnson; J. G. Mangelson; R. W. Beard

“A Normalized Disparity Loss for Stereo Matching Networks”
S. Chen; Z. Xiang; P. Xu; X. Zhao

“Scale-Aware Squeeze-and-Excitation for Lightweight Object Detection”
Z. Xu; X. Hong; T. Chen; Z. Yang; Y. Shi

“Inflated Bendable Eversion Cantilever Mechanism With Inner Skeleton for Increased Stiffness”
T. Takahashi; M. Watanabe; K. Abe; K. Tadakuma; N. Saiki; M. Konyo; S. Tadokoro

“Point Clouds Outlier Removal Method Based on Improved Mahalanobis and Completion”
C. Qu; Y. Zhang; K. Huang; S. Wang; Y. Yang

“Haptic-Based and $SE(3)$-Aware Object Insertion Using Compliant Hands”
O. Azulay; M. Monastirsky; A. Sintov

“Template-Based Category-Agnostic Instance Detection for Robotic Manipulation”
Z. Hu; R. Tan; Y. Zhou; J. Woon; C. Lv

“Hybrid Safety Certificate for Fast Collision Checking in Sampling-Based Motion Planning”
S. Shi; J. Chen; Y. Li

“Consensus-Based Decentralized Task Allocation for Multi-Agent Systems and Simultaneous Multi-Agent Tasks”
S. Wang; Y. Liu; Y. Qiu; J. Zhou

“Generalized LOAM: LiDAR Odometry Estimation With Trainable Local Geometric Features”
K. Honda; K. Koide; M. Yokozuka; S. Oishi; A. Banno

“Simplified Configuration Design of Anthropomorphic Hand Imitating Specific Human Hand Grasps”
X. Tian; Q. Zhan; Y. Zhang; J. Zou; L. Jiang; Q. Xu

“Online and Real-Time Trajectory Generation Method for Unforeseen Events Using a Modified Spline Approach”
M. Altan Toksöz; M. Ö. Efe; V. Gazi

“Collision Avoidance Among Dense Heterogeneous Agents Using Deep Reinforcement Learning”
K. Zhu; B. Li; W. Zhe; T. Zhang

“Self-Supervised Point Cloud Understanding via Mask Transformer and Contrastive Learning”
D. Wang; Z. -X. Yang

“Forest: A Lightweight Semantic Image Descriptor for Robust Visual Place Recognition”
P. Hou; J. Chen; J. Nie; Y. Liu; J. Zhao

“Winding Through: Crowd Navigation via Topological Invariance”
C. Mavrogiannis; K. Balasubramanian; S. Poddar; A. Gandra; S. S. Srinivasa

“A Joint Acceleration Estimation Method Based on a High-Order Disturbance Observer”
J. Zhang; P. Nie; Y. Chen; B. Zhang

“Deep Reinforcement Learning for Decentralized Multi-Robot Exploration with Macro Actions”
A. H. Tan; F. P. Bejarano; Y. Zhu; R. Ren; G. Nejat

“Gaussian Mixture Midway-Merge for Object SLAM with Pose Ambiguity”
J. H. Jung; C. G. Park

“Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation”
M. -H. Jeon; J. Kim; J. -H. Ryu; A. Kim

“Rethinking Feature Extraction: Gradient-Based Localized Feature Extraction for End-To-End Surgical Downstream Tasks”
W. Pang; M. Islam; S. Mitheran; L. Seenivasan; M. Xu; H. Ren

“Long-Term Localization Using Semantic Cues in Floor Plan Maps”
N. Zimmerman; T. Guadagnino; X. Chen; J. Behley; C. Stachniss

“Deep IMU Bias Inference for Robust Visual-Inertial Odometry With Factor Graphs”
R. Buchanan; V. Agrawal; M. Camurri; F. Dellaert; M. Fallon

“Untethered Microrobots Driven by kV-Level Capacitive Actuators via Mechanical Electrostatic Inverters”
W. Zhan; M. Qi; Z. Liu; J. Leng; H. Zhang; R. Yun; X. Yan

“HI-Net: Boosting Self-Supervised Indoor Depth Estimation via Pose Optimization”
G. Wu; K. Li; L. Wang; R. Hu; Y. Guo; Z. Chen

“Design and Modeling of a Dual-Ball Self-Balancing Robot”
X. Gao; L. Yan; Z. He; G. Wang; I. -M. Chen

“Accelerating Certifiable Estimation with Preconditioned Eigensolvers”
D. M. Rosen

“Measuring Interaction Bandwidth During Physical Human-Robot Collaboration”
A. Kalinowska; M. Schlafly; K. Rudy; J. P. Dewald; T. D. Murphey

“A Novel Variable-Diameter-Stiffness Guiding Sheath for Endoscopic Surgery”
H. Wang; S. Zuo

“IC-GVINS: A Robust, Real-Time, INS-Centric GNSS-Visual-Inertial Navigation System”
X. Niu; H. Tang; T. Zhang; J. Fan; J. Liu

“Learning Efficient Policies for Picking Entangled Wire Harnesses: An Approach to Industrial Bin Picking”
X. Zhang; Y. Domae; W. Wan; K. Harada

“GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection”
X. Huang; W. Qu; Y. Zuo; Y. Fang; X. Zhao

We are pleased to announce the 19th IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2023), which will take place in Berlin, Germany on 5 – 7 June 2023, in conjunction with ICRA 2023. Contributions for papers and organized sessions are now open (accepted papers will be published in the conference proceedings and on IEEE Xplore).

Please note that the organized session proposal deadline has been extended to December 14th.

Summary

Advanced robots are expected to enter in promising applications in our future society and bring substantial impacts. The increasing implementation of AI-based components even broadens their fields of application. To ensure that these impacts are positively reflected, we must now extend views not only on technical aspects but also on social challenges that we might face, which relate to issues such as safety, regulation, ethics, human factors, and philosophy.

Topics of Interest

  • Human-robot interaction in physical & psychological aspects
  • Safety standards for advanced robots & autonomous systems
  • Legal and ethical issues for advanced robots
  • Impact of robotics on society, e.g. robot business, marketing & economic impact
  • Robotics for sustainability, climate change or civil aid
  • Advanced industrial robots for future manufacturing
  • Healthcare & medical applications
  • Rehabilitation and transfer robotics
  • Service & assistance applications
  • Entertainment & education robotics
  • Robotics & autonomous driving
  • Bio-inspired robotics
  • Soft and wearable robotics

Check out our website for more details.

Key Dates and Deadlines

  • Organized session proposal deadline: 14 Dec 2022
  • Notification of Organized Session Acceptance: 15 Dec 2022
  • Initial paper submission deadline: 31 Jan 2023
  • Notification of Paper Acceptance: 1 April 2023
  • Final paper submission deadline: 30 April 2023
fellows_pin.jpg

Recognizing the achievements of its members is an important part of the mission of IEEE. Each year, following a rigorous evaluation procedure, the IEEE Board of Directors selects a group of members for elevation to IEEE Fellow. The IEEE Fellow is the highest grade of membership in IEEE. Less than 0.1% of voting members are selected annually for this member grade elevation. It is recognized by the technical community as a prestigious honor and an important career achievement.

The following RAS members have been elevated to IEEE Fellow, effective 1 January 2023.

Aaron M. Dollar - Yale University, New Haven, (CT) USA

for contributions to dexterous grasping and manipulation

Dario Floreano - Swiss Federal Institute of Technology, Lausanne, Switzerland

for contributions to bio-inspired drone development and evolutionary robotics

Antonio Franchi - University of Twente, Enschede, Netherlands

for contributions to modelling, design, and control for aerial and distributed robotic systems

Kensuke Harada - Osaka University, Toyonaka, Japan

for contributions to whole-body manipulation for biped humanoid robots

Alois C. Knoll - Institut Fuer Informatik VI, Garching, Germany

for contributions to Human-Robot Interaction and Neurorobotics

Jana Kosecka - George Mason, University Annandale, (VA) USA

for contributions to robust embodied vision systems and semantic modeling in robotics

Torsten Kroeger – Intrinsic, Menlo Park, (CA) USA

for contributions to real-time motion planning

Cecilia Laschi - National University of Singapore

for contributions to soft robotics

Karon Maclean

University of British Columbia, Vancouver, (BC) Canada

for contributions to the design of haptic communication

Arianna Menciassi - Scuola Superiore Sant'Anna, Pontedera, Italy

for contributions to the development of robots for minimally invasive surgery

Kazuhiro Nakadai - Tokyo Institute of Technology, Japan

for contributions to robot audition and computational auditory scene analysis

Christian Ott - German Aerospace Center, Wessling, Germany

for contributions to torque-control theory using passive joint elasticity and the whole-body control of humanoids

Jose A. Santos-Victor - Instituto Superior Tecnico, Lisbon, Portugal

for contributions to biologically inspired cognitive vision and humanoid robotic systems

Birgit Vogel-Heuser - Technische Universitaet Muenchen, Garching, Germany

for contributions to evolvable, adaptable field-level automation architectures for manufacturing systems and logistics

YuMingZhang - University of Kentucky, Lexington, (KY) USA

for contributions to robotized welding manufacturing through machine-vision-based intelligence

Li Zhang - The Chinese University of Hong Kong, Shatin Hong

for contributions to micro-/nanorobot swarms and platforms for translational biomedicine

2023 RAS Fellows Evaluated by Other IEEE Societies

Evaluated by the Computational Intelligence Society

Hong Wang - Oak Ridge National Laboratory, Farragut, (TN) USA

for contributions to learning control and diagnosis for complex dynamical systems

Evaluated by the Computer Society

Hong Chen - Tongji University, Shanghai, China

for contributions to predictive control and applications in automotive systems

Evaluated by the Computer Society

Dimos Dimarogonas - KTH Royal Institute of Technology, Stockholm, Sweden

for contributions to distributed and hybrid control of multi-agent systems

Evaluated by the Computer Society

Kingsley Fregene - Grand Prairie, (TX) USA

for contributions to the autonomous control of unmanned vehicles

Evaluated by the Computer Society

Abdelhamid Tayebi - Lakehead University, Thunder Bay, Canada

for contributions to the control of unmanned aerial vehicles and learning-based control for robot manipulators

Evaluated by the Engineering in Medicine and Biology Society

He Huang - North Carolina State University, Raleigh, (NC) USA

for contributions in control development in rehabilitation robotics

Evaluated by the Industrial Electronics Society

Youmin Zhang - Concordia University, Montreal, Canada

for contributions to fault diagnosis and fault-tolerant control systems

Evaluated by the Systems, Man, and Cybernetics Society

Daoyi Dong - Australian Defence Force Academy, Canberra, Australia

for contributions to quantum systems control and reinforcement learning

Evaluated by the Signal Processing Society

Alfred Bruckstein - Technion International, Haifa, Israel

for contributions to signal representation and swarm robotics

More About IEEE Fellows

IEEE Fellow is a distinction reserved for select IEEE members. The honor is conferred by the Board of Directors upon a person with an extraordinary record of accomplishments in any of the IEEE fields of interest.

If you know of an IEEE colleague who is a Senior Member or Life Senior Member in good standing, has completed five years of service in any grade of IEEE Membership, and has made an outstanding contribution to the electronic or electrical engineering profession, you can nominate this person in one of four categories:

  • Application Engineer/Practitioner
  • Educator
  • Research Engineer/Scientist
  • Technical Leader

Additional information about the IEEE Fellow program, and a list of RAS Fellows is available here.

We are pleased to announce that a new issue of IEEE Robotics and Automation Letters (Volume 8, Issue 1, January 2023) is now available on IEEE Xplore. Check it out!

Haptic sensations are a fundamental component of the user’s immersive experience when interacting in Virtual/Augmented/Mixed/eXtended Realities (VR/AR/MR/XR). In the last few years, we have witnessed the rapid development of many innovative devices and original techniques for providing haptic sensations, e.g., using force feedback, mid-air interfaces, props, or exploiting perceptual phenomena with cross-modal effects such as pseudo-haptics. While increasingly immersive and realistic experiences have developed at a fast pace, the emergence of a metaverse proposes new use cases where prolonged utilisation and social interactions become more frequent and effective than reality. This change in direction presents the haptics community with new challenges and opportunities. To that end, the goal of this Special Issue is to present innovative cutaneous and tactile technologies as well as their use towards the metaverse vision.

Key Dates and Deadlines

  • Submission deadline: 31 January 2023
  • First decision sent to authors: approximately 3 months after submission
  • Final decision sent to authors: approximately 6 months after submission
  • Final publication material due from authors: approximately 7 months after submission

See here for more details.

We are proud to announce the IEEE International Conference on Automation Science and Engineering (CASE) to be held in Auckland, New Zealand on 26–29 August 2023. CASE is the flagship automation conference of the IEEE Robotics and Automation Society (RAS) and constitutes the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide broad coverage and dissemination of foundational research in automation among researchers and practitioners.

The theme of CASE 2023 is Automation for a Resilient Society. For more information, please check out our flyer or visit our conference website.

Key Dates and Deadlines

  • Special session proposal submissions due 15 February 2023
  • Regular and special session full paper submissions due 1 March 2023
  • Workshop proposal submissions, industry paper submissions, and presentation-only paper submissions due 1 April 2023
  • Paper acceptance notification 15 May 2023
  • Final paper submission due 15 June 2023
  • Author registration due 15 June 2023
  • Conference held from 26–29 August 2023

Motivation

Physical Human-Robot Interaction (pHRI) is of great interest in robotics. Currently, we have good working knowledge about our engineered robots, but we still lack a deeper understanding about human behavior, and how to effectively use it for real-time reactive robot behavior in the context of pHRI. This understanding is crucial to evolve the pHRI paradigms into safer and more effective human-robot interactions. Therefore, progress and innovations in human modelling are necessary to significantly improve how human operators physically collaborate with Cobots, prostheses, exoskeletons, and other robotic devices.

This special issue aims to stimulate discussion and promote collaboration between the communities of robotics and biomechanics. Contributing authors will investigate the state of the art of human modelling and present modern human modelling techniques and tools to advance research in pHRI. The latest high-quality research results from both biomechanists and roboticists will be collected and presented.

Please see our website for more details.

Key Dates and Deadlines

  • Submission deadline: February 1, 2023
  • Final Publication: August 9, 2023

Motivation

Safety-critical tasks are very common in real-life robotic applications. Tasks are considered safety-critical when, for example, robots act in close proximity to humans, especially when they have limited knowledge about the environment.

The proposed SI hinges on contributions that advance the field of learning for robust and safe control. Our interest encompasses both theoretical and empirical results which aim to show that combining machine learning strategies with model-based controllers is the key to developing stable and robust autonomous systems that are capable of adapting to dynamic environmental changes, are resilient to external disturbances, and unmodelled dynamic effects, and that behave in accordance to the theoretical guarantees of controllers.

See our website for more information.

 

Key Dates and Deadlines

  • Submission deadline: March 31, 2023
  • Final Publication: September 27, 2023
2022 WIR HEADER 1536x864

The 2022 edition of Robohub’s annual "50 women in robotics you need to know about" has honored six members of the IEEE Robotics and Automation Society, from all three RAS geographical regions!

 

Congratulations to Women in Robotics for the 10th anniversary of this important recognition for the many amazing women in robotics.

The following IEEE Robotics and Automation Society women are included in this year's list:

 

  1. Kathy Colabaugh, IEEE Robotics and Automation Society, USA
  2. Jeanne Dietsch, Granite State Matters, USA
  3. Xiaoou Li, Center for Research and Advanced Studies of the National Polytechnic Institute of Mexico, Mexico
  4. Pauline Pounds, University of Queensland, Australia
  5. Karinne Ramirez-Amaro, Chalmers University of Technology, Sweden
  6. Teresa Vidal Calleja, University of Technology Sydney, Australia

 

Check out the full article to read more about all these impressive women.

We cordially invite you to submit contributions to the fourth edition of the focused section on T-MECH/AIM emerging topics. This focused section is intended to expedite publication of novel and significant research results, technology, and/or conceptual breakthroughs on emerging topics within the scope of T-MECH; our aim is to provide the mechatronics community with rapid access to state-of-the-art T-MECH publications.

The submission site is now open; the deadline for submissions is 6 January 2023.

For more details, click on the links above and check out our flyer.

We are pleased to invite you to participate in the mc_rtc tutorial organized at the IEEE/RAS Humanoids 2022 conference.

mc_rtc is an open-source application framework for robotics developed jointly by the CNRS-AIST Joint Robotics Laboratory (JRL) in Japan and the CNRS-UM Interactive Digital Human (IDH) in France. It has been used extensively over the past few years and has allowed for the efficient realization of many complex demonstrators:

  • Industrial applications of humanoid robots (e.g., COMANOID)
  • Humanoids car driving (e.g., the DARPA Robotics Challenge)
  • Human-Robot interaction on the Pepper platform (SOFTBANK Robotics)
  • Embodiment for service robotics (Avatar X-Prize)
  • and many others that will be showcased using simpler robotic arms

mc_rtc is now used in many teams across the world and has been deployed on many humanoid platforms—HRP robots, Nao, Pepper, REEM-C and Talos—as well as on non-humanoid robots such as Panda, Kuka or UR robots.

With the release of the 2.0 version, the framework is now more extendable than ever to conduct your own robotics research with the tools provided by the framework.

In this tutorial, we will introduce the capabilities of the framework through the implementation of an example scenario that requires the combination of visual-servoing, force sensing, and walking. The scenario is representative of the complexity of programming humanoid robots and will highlight the power of mc_rtc in easing this process.

The tutorial will be held on 28 November 2022 9am­–5pm Japan time (GMT+9) in room B3 at the Okinawa Convention Center. See the Humanoids 2022 website for more information.

 

Online Attendance

Online attendance is possible. Please contact pierre.gergondet@gmail.com and we will send you a tele-conference invitation before the tutorial.

Click here to learn more about the tutorial; to learn more about mc_rtc, click here. We look forward to seeing you there in person or online.

The IEEE Robotics and Automation Society is most pleased to announce that Carlotta Berry has been selected as the recipient of the prestigious 2023 Undergraduate Teaching Award “for contributions to multidisciplinary robotics education and leadership in creating a national platform to diversify STEM.”

 

undergrad berry 2

Carlotta Berry has a passion for increasing diversity in engineering. She is utilizing robotics and engineering education, as well as human-robot interaction research to bring STEM to diverse populations. She has built several organizations that reach out to women and marginalized and minoritized populations and encourage them to pursue STEM degrees. She founded the Rose Building Undergraduate Diversity (ROSE-BUD) program to increase the participation of underprivileged and underrepresented students in electrical and computer engineering. Berry worked with colleagues worldwide to start the nonprofits Black in Engineering and Black in Robotics that build community and advocate for diversity, equity, inclusion, and justice.

 

An IEEE Senior Member, Berry is the Rose Hulman Institute of Technology Lawrence J. Giacoletto Endowed Chair and professor for Electrical and Computer Engineering, Indiana, USA.

 

More About the IEEE Undergraduate Teaching Award

 

img tfa medal undergraduate teachingSponsored by the IEEE Education Society, the IEEE Undergraduate Teaching Award was established by the Board of Directors in 1990 to honor teachers of electrical and electronics engineering and the related disciplines. The award consists of a bronze medal, certificate, and cash honorarium. In the evaluation process, the following criteria are considered: excellence in teaching undergraduate students; creative development of the undergraduate curriculum; authorship of course materials for undergraduate students; involvement with undergraduate students through activities such as advising, project supervision, faculty counseling or advising for student organizations; attracting students to engineering and scientific profession; and the quality of the nomination.

A list of past recipients can be found here.

Agricultural production is a key economic activity providing a growing world population with resources like food, fibers, fuels, and chemical basic components. Despite a growing world population, labour participation in agricultural production is declining and technology is needed to support farmers in their work. Technologies like sensing, data, artificial intelligence, and robotics will become more and more important. This special issue addresses technological progress in robotics and intelligent machine systems for smart agricultural production. Papers could address any part of the agricultural value chain including plant and animal breeding, through on-farm production, to post-harvest storage, logistics, packaging, and food processing. Besides on-farm food, feed and fiber production, off-farm production can be considered like fishery, forestry and urban landscaping and maintenance.

 

More information can be found here.

 

Deadline for submission:  February 1, 2023

Special issue publication date: December 2023

Easy Links