M Kim, J Han, J Kim, B Kim - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
We present a system for non-prehensile manipulation that require a significant number of contact mode transitions and the use of environmental contacts to successfully manipulate …
M Faroni, D Berenson - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
Kinodynamic motion planners allow robots to perform complex manipulation tasks under dynamics constraints or with black-box models. However, they struggle to find high-quality …
W Zhou, B Jiang, F Yang, C Paxton, D Held - arXiv preprint arXiv …, 2023 - arxiv.org
Manipulating objects without grasping them is an essential component of human dexterity, referred to as non-prehensile manipulation. Non-prehensile manipulation may enable more …
Y Cho, J Han, Y Cho, B Kim - arXiv preprint arXiv:2403.10760, 2024 - arxiv.org
Nonprehensile manipulation is essential for manipulating objects that are too thin, large, or otherwise ungraspable in the wild. To sidestep the difficulty of contact modeling in …
In this work, we build on our method for manipulating unknown objects via contact configuration regulation: the estimation and control of the location, geometry, and mode of …
Dexterous robotic manipulation remains a challenging domain due to its strict demands for precision and robustness on both hardware and software. While dexterous robotic hands …
M Faroni, D Berenson - arXiv preprint arXiv:2403.07638, 2024 - arxiv.org
Robotic manipulation relies on analytical or learned models to simulate the system dynamics. These models are often inaccurate and based on offline information, so that the …