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pro vyhledávání: '"Bi, Thomas"'
We present a nonlinear non-convex model predictive control approach to solving a real-world labyrinth game. We introduce adaptive nonlinear constraints, representing the non-convex obstacles within the labyrinth. Our method splits the computation-hea
Externí odkaz:
http://arxiv.org/abs/2406.08650
Autor:
Bi, Thomas, D'Andrea, Raffaello
Motivated by the challenge of achieving rapid learning in physical environments, this paper presents the development and training of a robotic system designed to navigate and solve a labyrinth game using model-based reinforcement learning techniques.
Externí odkaz:
http://arxiv.org/abs/2312.09906
This paper aims to show that robots equipped with a vision-based tactile sensor can perform dynamic manipulation tasks without prior knowledge of all the physical attributes of the objects to be manipulated. For this purpose, a robotic system is pres
Externí odkaz:
http://arxiv.org/abs/2101.02680
Data-driven approaches to tactile sensing aim to overcome the complexity of accurately modeling contact with soft materials. However, their widespread adoption is impaired by concerns about data efficiency and the capability to generalize when applie
Externí odkaz:
http://arxiv.org/abs/2003.02640
Publikováno v:
British dental journal [Br Dent J] 1981 Feb 03; Vol. 150 (3), pp. 67-70.
