Human-robot cooperation through force adaptation using dynamic motion primitives and iterative learning-Reference-Cited by-同舟云学术

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Human-robot cooperation through force adaptation using dynamic motion primitives and iterative learning

Published:2014-12 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)
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Author:

Nemec Bojan,Gams Andrej,Denisa Miha,Ude Ales

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7062021/7090291/07090536.pdf?arnumber=7090536

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic Motion Primitives-Based Trajectory Learning for Physical Human–Robot Interaction Force Control;IEEE Transactions on Industrial Informatics;2024-02

2. Phase-Free Dynamic Movement Primitives Applied to Kinesthetic Guidance In Robotic Co-Manipulation Tasks;2024

3. A Survey of Robot Learning Strategies for Human-Robot Collaboration in Industrial Settings;Robotics and Computer-Integrated Manufacturing;2022-02

4. Reinforcement Learning Based Variable Impedance Control for High Precision Human-robot Collaboration Tasks;2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM);2021-07-03

5. Physical Human–Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators;IEEE Transactions on Cybernetics;2021-04

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