Stability-Guaranteed Reinforcement Learning for Contact-Rich Manipulation
Reinforcement learning (RL) has had its fair share of success in contact-rich manipulation tasks but it still lags behind in benefiting from advances in robot control theory such as impedance control and stability guarantees. Recently, the concept of variable impedance control (VIC) was adopted into...
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Veröffentlicht in: | IEEE robotics and automation letters 2021-01, Vol.6 (1), p.1-8 |
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Sprache: | eng |
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