Learning to pour with a robot arm combining goal and shape learning for dynamic movement primitives

Author:

Tamosiunaite Minija,Nemec Bojan,Ude Aleš,Wörgötter Florentin

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference26 articles.

1. A.J. Ijspeert, J. Nakanishi, S. Schaal, Movement imitation with nonlinear dynamical systems in humanoid robots, in: Proc. IEEE Int. Conf. Robotics and Automation, ICRA, 2002, Washington, DC, 2002, pp. 1398–1403.

2. B. Perk, J. Slotine, Motion primitives for robotic flight control, 2008. arXiv:cs/0609140v2.

3. Reinforcement learning of motor skills with policy gradients;Peters;Neural Networks,2008

4. Policy search for motor primitives in robotics;Kober,2009

5. E. Theodorou, J. Buchli, S. Schaal, Reinforcement learning of motor skills in high dimensions: a path integral approach, in: Int. Conf. of Robotics and Automation, ICRA, 2010, 2010, pp. 2397–2403.

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2. Dynamic movement primitives in robotics: A tutorial survey;The International Journal of Robotics Research;2023-09-23

3. Pouring by Feel: An Analysis of Tactile and Proprioceptive Sensing for Accurate Pouring;2022 International Conference on Robotics and Automation (ICRA);2022-05-23

4. Coupled Multiple Dynamic Movement Primitives Generalization for Deformable Object Manipulation;IEEE Robotics and Automation Letters;2022-04

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