A look inside IEEE RAM Special Issue on Deep learning and Machine Learning- June 2020

ieee roboticsautomation june2020

We are pleased to offer you the June 2020 special issue on Deep learning and machine learning of the IEEE Robotics and Automation Magazine!

Movement Primitive Learning and Generalization: Using Mixture Density Networks	You Zhou, Jianfeng Gao, and Tamim Asfour
Gaussians on Riemannian Manifolds: Applications for Robot Learning and Adaptive Control	Sylvain Calinon
Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback	Rodrigo Pérez-Dattari, Carlos Celemin, Giovanni Franzese, Javier Ruiz-del-Solar, and Jens Kober
Multifingered Grasp Planning via Inference in Deep Neural Networks: Outperforming Sampling by Learning Differentiable Models	Qingkai Lu, Mark Van der Merwe, Balakumar Sundaralingam, and Tucker Hermans
Optimal Deep Learning for Robot Touch: Training Accurate Pose Models of 3D Surfaces and Edges	Nathan F. Lepora and John Lloyd
Machine Learning for Active Gravity Compensation in Robotics: Application to Neurological Rehabilitation Systems	Axier Ugartemendia, Daniel Rosquete, Jorge Juan Gil, Iñaki Díaz, and Diego Borro
Decoding Motor Skills of Artificial Intelligence and Human Policies: A Study on Humanoid and Human Balance Control	Kai Yuan, Christopher McGreavy, Chuanyu Yang, Wouter Wolfslag, and Zhibin Li
Assured Runtime Monitoring and Planning Toward Verification of Neural Networks for Safe Autonomous Operations	Esen Yel, Taylor J. Carpenter, Carmelo Di Franco, Radoslav Ivanov, Yiannis Kantaros, Insup Lee, James Weimer, and Nicola Bezzo
Multifidelity Reinforcement Learning With Gaussian Processes: Model-Based and Model-Free Algorithms	Varun Suryan, Nahush Gondhalekar, and Pratap Tokekar
Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception	Xiaoxiao Du, Ram Vasudevan, and Matthew Johnson-Roberson
Deep Learning-Based Localization and Perception Systems: Approaches for Autonomous Cargo Transportation Vehicles in Large-Scale, Semiclosed Environments	Zhe Liu, Chuanzhe Suo, Yingtian Liu, Yueling Shen, Zhijian Qiao, Huanshu Wei, Shunbo Zhou, Haoang Li, Xinwu Liang, Hesheng Wang, and Yun-Hui Liu
GPU-Accelerated Vision for Robots: Improving System Throughput Using OpenCV and CUDA	Enric Cervera
Planetary Exploration With Robot Teams: Implementing Higher Autonomy With Swarm Intelligence	David St-Onge, Marcel Kaufmann, Jacopo Panerati, Benjamin Ramtoula, Yanjun Cao, Emily B.J. Coffey, and Giovanni Beltrame

Published: 19 June 2020