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Towards Safe Human-Robot Collaboration Using Deep Reinforcement Learning
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020Safety in Human-Robot Collaboration (HRC) is a bottleneck to HRC-productivity in industry. With robots being the main source of hazards, safety engineers use over-emphasized safety measures, and carry out lengthy and expensive risk assessment processes on each HRC-layout reconfiguration.
Mohamed El-Shamouty +4 more
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Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning
IEEE Transactions on Smart Grid, 2020Electric vehicles (EVs) have been popularly adopted and deployed over the past few years because they are environment-friendly. When integrated into smart grids, EVs can operate as flexible loads or energy storage devices to participate in demand response (DR).
Hepeng Li, Zhiqiang Wan, Haibo He
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ISUAM: Intelligent and Safe UAM with Deep Reinforcement Learning
2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), 2023Cristiano P. Garcia +3 more
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DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning
2021Neural networks (NN) are gaining importance in sequential decision-making. Deep reinforcement learning (DRL), in particular, is extremely successful in learning action policies in complex and dynamic environments. Despite this success however, DRL technology is not without its failures, especially in safety-critical applications: (i) the training ...
Timo P. Gros +5 more
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A Deep Safe Reinforcement Learning Approach for Mapless Navigation
2021 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2021Shaohua Lv +5 more
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Safe Deep Reinforcement Learning Hybrid Electric Vehicle Energy Management
2018The optimality-based design of the energy management of a hybrid electric vehicle is a challenging task due to the extensive and complex nonlinear reciprocal effects in the system, as well as the unknown vehicle use in real traffic. The optimization has to consider multiple continuous values of sensor and control variables and has to handle uncertain ...
Roman Liessner +2 more
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Skill Reward for Safe Deep Reinforcement Learning
2022Jiangchang Cheng +3 more
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Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021Hepeng Li +3 more
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Hierarchical Policies of Subgoals for Safe Deep Reinforcement Learning
2023Fumin Yu +4 more
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Safe Locomotion Within Confined Workspace using Deep Reinforcement Learning
2021 Fifth IEEE International Conference on Robotic Computing (IRC), 2021Apan Dastider +2 more
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