IEEE Robotics & Automation Magazine - June 2020 - 1
Vol. 27, No. 2 JUNE 2020
ISSN 1070-9932
http://www.ieee-ras.org/publications/ram
FEATURES
22
33
46
55
Movement Primitive Learning and Generalization
Using Mixture Density Networks
By You Zhou, Jianfeng Gao, and Tamim Asfour
Gaussians on Riemannian Manifolds
Applications for Robot Learning and Adaptive Control
By Sylvain Calinon
Interactive Learning of Temporal Features for Control
Shaping Policies and State Representations From Human Feedback
By 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
By Qingkai Lu, Mark Van der Merwe, Balakumar Sundaralingam, and Tucker Hermans
66
78
87
Optimal Deep Learning for Robot Touch
Training Accurate Pose Models of 3D Surfaces and Edges
By Nathan F. Lepora and John Lloyd
Machine Learning for Active Gravity Compensation in Robotics
Application to Neurological Rehabilitation Systems
By 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
By Kai Yuan, Christopher McGreavy, Chuanyu Yang, Wouter Wolfslag, and Zhibin Li
102 Assured Runtime Monitoring and Planning
Toward Verification of Neural Networks for Safe Autonomous Operations
By Esen Yel, Taylor J. Carpenter, Carmelo Di Franco, Radoslav Ivanov,
Yiannis Kantaros, Insup Lee, James Weimer, and Nicola Bezzo
117 Multifidelity Reinforcement Learning With Gaussian Processes
Model-Based and Model-Free Algorithms
By Varun Suryan, Nahush Gondhalekar, and Pratap Tokekar
129 Unsupervised Pedestrian Pose Prediction
A Deep Predictive Coding Network-Based Approach
for Autonomous Vehicle Perception
By Xiaoxiao Du, Ram Vasudevan, and Matthew Johnson-Roberson
ON THE COVER
This special issue focuses on deep learning and
machine learning approaches that have been
validated on real-world robots, scenarios, and
automation problems.
139 Deep Learning-Based Localization and Perception Systems
Approaches for Autonomous Cargo Transportation Vehicles
in Large-Scale, Semiclosed Environments
By Zhe Liu, Chuanzhe Suo, Yingtian Liu, Yueling Shen, Zhijian Qiao, Huanshu Wei,
Shunbo Zhou, Haoang Li, Xinwu Liang, Hesheng Wang, and Yun-Hui Liu
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Digital Object Identifier 10.1109/MRA.2020.2984467
JUNE 2020
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IEEE ROBOTICS & AUTOMATION MAGAZINE
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http://www.ieee-ras.org/publications/ram
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IEEE Robotics & Automation Magazine - June 2020
Table of Contents for the Digital Edition of IEEE Robotics & Automation Magazine - June 2020
Contents
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