Psychophysics-Based Cognitive Reinforcement Learning to Optimize Human-Robot Interaction in Power-Assisted Object Manipulation

Author:

Rahman S. M. Mizanoor

Publisher

Springer International Publishing

Reference13 articles.

1. Rahman, S.M.M., Wang, Y.: Mutual trust-based subtask allocation for human-robot collaboration in flexible lightweight assembly in manufacturing. Mechatronics 54, 94–109 (2018)

2. Rahman, S.M.M., Liao, Z., Jiang, L., Wang, Y.: A regret-based autonomy allocation scheme for human-robot shared vision systems in collaborative assembly in manufacturing. In: Proceedings of the 12th IEEE International Conference on Automation Science and Engineering (IEEE CASE 2016), pp. 897–902 (2016)

3. Rahman, S.M.M., Wang, Y.: Dynamic affection-based motion control of a humanoid robot to collaborate with human in flexible assembly in manufacturing. In: Proceedings of ASME Dynamic Systems and Controls Conference, pp. V003T40A005 (2015)

4. Rahman, S.M.M., Ikeura, R.: Improving interactions between a power assist robot system and its human user in horizontal transfer of objects using a novel adaptive control method. Adv. Hum.-Comput. Interact. 2012, 1–12 (2012). Article no. 745216

5. Rahman, S.M.M., Ikeura, R.: Cognition-based control and optimization algorithms for optimizing human-robot interactions in power assisted object manipulation. J. Inf. Sci. Eng. 32(5), 1325–1344 (2016)

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