Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sievers, Leon"'
Reorienting diverse objects with a multi-fingered hand is a challenging task. Current methods in robotic in-hand manipulation are either object-specific or require permanent supervision of the object state from visual sensors. This is far from human
Externí odkaz:
http://arxiv.org/abs/2407.18834
This paper identifies and addresses the problems with naively combining (reinforcement) learning-based controllers and state estimators for robotic in-hand manipulation. Specifically, we tackle the challenging task of purely tactile, goal-conditioned
Externí odkaz:
http://arxiv.org/abs/2311.04060
A self-contained calibration procedure that can be performed automatically without additional external sensors or tools is a significant advantage, especially for complex robotic systems. Here, we show that the kinematics of a multi-fingered robotic
Externí odkaz:
http://arxiv.org/abs/2311.03957
Dextrous in-hand manipulation with a multi-fingered robotic hand is a challenging task, esp. when performed with the hand oriented upside down, demanding permanent force-closure, and when no external sensors are used. For the task of reorienting an o
Externí odkaz:
http://arxiv.org/abs/2303.04705
Publikováno v:
Proc. IEEE International Conference on Robotics and Automation (ICRA), 2022, Philadelphia
We show that a purely tactile dextrous in-hand manipulation task with continuous regrasping, requiring permanent force closure, can be learned from scratch and executed robustly on a torque-controlled humanoid robotic hand. The task is rotating a cub
Externí odkaz:
http://arxiv.org/abs/2204.03698
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56bd0946548b838cdf1147daf7fefb0b
https://doi.org/10.1109/iros47612.2022.9981730
https://doi.org/10.1109/iros47612.2022.9981730
