IEEE Robotics and Automation Society IEEE

Special Issue on Surgical Robot Challenge

Deadline for Paper Submission: 01 August 2016

Publication Schedule: June 2017
First decision: 01 November 2016
Revised paper submission: 15 December 2016
Final decision: 20 February 2017

Surgical Robotics has the potential to transform surgery on a global scale.   As robotic devices get smaller, smarter and cheaper, the opportunities for surgical robotics get ever greater.  Miniaturisation permits access to anatomical structures that have not been previously operable; the enhanced intelligence of devices increases the range of low level surgical tasks that can be automated; the reduced costs associated with developing smart tools rather than traditional full-sized surgical robots significantly increases the potential reach of the technology.  In combination, these drivers are increasing interest in surgical robotics in academia, industry and hospitals.

This special issue will highlight some of the latest innovations in surgical robotics.   It will feature short-listed entries into the Surgical Robot Challenge - an annual international competition for surgical robotics.  This competition, held during the Hamlyn Symposium on Medical Robotics, showcases the latest innovations in surgical robotics from around the world.  Each year, teams from leading research groups bring their surgical robots to London to demonstrate their innovations to prominent surgeons and pioneers of the field.  This year's competition takes place on 25 June 2016 as part of the first UK Robotics Week (

This call is open to all teams with short-listed entries for the 2015 and 2016 Surgical Robot Challenges.  Papers should follow the standard RAM guidelines.  A full peer-reviewed process will be utilised to select papers for the special issue. Submissions should be made through the RAM submission website by 01 August 2016.

The topics of interest include but are not limited to:

Surgical robot innovation, design and implementation - surgical robot hardware and software - novel clinical applications - early diagnosis and treatment - automation of low-level surgical tasks - new surgical robot platforms - next generation surgeon-robot interface - automated camera and tool control - tissue classification - continuum robots - surgical planning, navigation and simulation - safer/more effective/ cheaper/more accessible solutions - vision, cognition, actuation, machine learning - verification and validation - surgical robotics for global health - future trends - improved patient outcomes.

Guest Editors

Robert Merrifield
Imperial College London

Russell Taylor
The John Hopkins University

Guang-Zhong Yang
Imperial College London

Special Issue on Replicable and Measurable Robotics Research

Deadline for Paper Submission: 10 November 2014 - EXTENDED TO 10 December 2014

Publication Schedule: September 2015

There are a number of issues in robotics, related to performance measurement, methods for the objective comparison of different algorithms and systems, the possibility itself to replicate published results. 

We are now at a point where it is possible to give concrete directions for experiment planning, execution, and reporting, allowing objective performance comparisons and potentially affecting the content of obtained results, not only their 'production process'.  The key point to allow replication and comparison of results is having adequate data support: all the data necessary to repeat a given experiment. This will be the very first well-structured example of a publication in robotics, which will list a series of replicable and objectively measurable results.

Contributed papers reporting about experiments, benchmarking methods, challenges and competitions are solicited. They need to include results on real robots and be described in such a way to allow their replication. In particular challenges and competitions might be needed to compare intelligent or system level behaviors and capabilities. We seek papers on challenges and competitions describing real world events with real robots and designed as robotics ‘replicable experiments’.

Scope, Description and Information 
Contributions from ANY area of Robotics and Automation are sought, under the condition that they are ‘replicable’. The topics include but are not limited to: 
• Experiments in Robotics; 
• Benchmarking methods; 
• Challenges and Competitions; 
• Examples of Good Practice; 
• Evaluation of Experimental Robotics Work; 
• Relationship between benchmarking and replication of experiments with robots; 
• Comparison of experimental methodology in neurosciences/ neurophysiology and in Robotics; 
• Comparison of experimental methodology in neurosciences/ neurophysiology, in AI and Robotics; 
• Comparison of experimental methodology in Biology and in Robotics; • Success metrics in Robotics; 
• Well grounded experimental methods to compare artificial and natural systems, and their interaction 

Any application area of Robotics and Automation can be considered, such as: Aerial Robotics, Rehabilitation and Assistive Robotics, Medical Robotics, Industrial robotics, Prosthetics and Exoskeletons, Wearable Robotics, Marine Robotics, and more. 

RAM allows the attachment of extended materials (e.g. datasets, software tools, experimental protocols, code and or hardware identifiers, open source software, open source hardware designs, etc.), accompanying the submission of a paper. Instructions on the preparation of this material can be found on www.ieeeras. org/ram/for_authors. Extended materials will appear side-by-side to the accepted paper in the electronic version of the Special Issue within IEEE Xplore.

Call for papers June 2014 
Submission deadline: 10 November 2014 - EXTENDED TO 10 December 2014
First Review: 6 February 2015 
Final Review: 20 May 2015 
Publication: September 2015

Guest Editors:
Fabio Bonsignorio, Institute of Biorobotics, Scuola Superiore S. Anna. Pisa, Italy and CEO and founder of Heron Robots. (Corresponding guest editor)
John Hallam, Maersk Institute, University of Southern Denmark, Odense, Denmark.
Angel P. del Pobil, Robotic Intelligence Laboratory, University Jaume I, Castellon, Spain.