Reinforcement learning for robot research: A comprehensive review and open issues
T Zhang, H Mo - International Journal of Advanced Robotic …, 2021 - journals.sagepub.com
Applying the learning mechanism of natural living beings to endow intelligent robots with
humanoid perception and decision-making wisdom becomes an important force to promote …
humanoid perception and decision-making wisdom becomes an important force to promote …
Applications of Reinforcement Learning for maintenance of engineering systems: A review
AP Marugán - Advances in Engineering Software, 2023 - Elsevier
Nowadays, modern engineering systems require sophisticated maintenance strategies to
ensure their correct performance. Maintenance has become one of the most important tasks …
ensure their correct performance. Maintenance has become one of the most important tasks …
Human-robot cross-training: Computational formulation, modeling and evaluation of a human team training strategy
We design and evaluate human-robot cross-training, a strategy widely used and validated
for effective human team training. Cross-training is an interactive planning method in which …
for effective human team training. Cross-training is an interactive planning method in which …
Aligning robot and human representations
To act in the world, robots rely on a representation of salient task aspects: for example, to
carry a coffee mug, a robot may consider movement efficiency or mug orientation in its …
carry a coffee mug, a robot may consider movement efficiency or mug orientation in its …
Aligning human and robot representations
To act in the world, robots rely on a representation of salient task aspects: for example, to
carry a coffee mug, a robot may consider movement efficiency or mug orientation in its …
carry a coffee mug, a robot may consider movement efficiency or mug orientation in its …
Improved human–robot team performance through cross-training, an approach inspired by human team training practices
We design and evaluate a method of human–robot cross-training, a validated and widely
used strategy for the effective training of human teams. Cross-training is an interactive …
used strategy for the effective training of human teams. Cross-training is an interactive …
A systematic review on reinforcement learning-based robotics within the last decade
Robotics is one of the many tools that is making a substantial difference as the world is
experiencing the fourth industrial revolution. To ease control over this engineering marvel …
experiencing the fourth industrial revolution. To ease control over this engineering marvel …
Smoothed sarsa: reinforcement learning for robot delivery tasks
R Gupta, D Ramachandran - US Patent 8,326,780, 2012 - Google Patents
US8326780B2 - Smoothed sarsa: reinforcement learning for robot delivery tasks - Google
Patents US8326780B2 - Smoothed sarsa: reinforcement learning for robot delivery tasks …
Patents US8326780B2 - Smoothed sarsa: reinforcement learning for robot delivery tasks …
[PDF][PDF] 机器人操作技能学**方法综述
刘乃军， 鲁涛， 蔡莹皓， 王硕 - 自动化学报, 2019 - aas.net.cn
摘要结合人工智能技术和机器人技术, 研究具备一定自主决策和学**能力的机器人操作技能学**
系统, 已逐渐成为机器人研究领域的重要分支. 本文介绍了机器人操作技能学**的主要方法及 …
系统, 已逐渐成为机器人研究领域的重要分支. 本文介绍了机器人操作技能学**的主要方法及 …
Shared control of an electric wheelchair considering physical functions and driving motivation
L **, M Shino - International journal of environmental research and …, 2020 - mdpi.com
Individuals with severe physical impairments have difficulties operating electric wheelchairs
(EWs), especially in situations where fine steering abilities are required. Automatic driving …
(EWs), especially in situations where fine steering abilities are required. Automatic driving …