Enhancing dexterity in robotic manipulation via hierarchical contact exploration

X Cheng, S Patil, Z Temel, O Kroemer… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Planning robot dexterity is challenging due to the non-smoothness introduced by contacts,
intricate fine motions, and ever-changing scenarios. We present a hierarchical planning …

Pre-and post-contact policy decomposition for non-prehensile manipulation with zero-shot sim-to-real transfer

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 …

Motion planning as online learning: A multi-armed bandit approach to kinodynamic sampling-based planning

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 …

HACMan: Learning hybrid actor-critic maps for 6D non-prehensile manipulation

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 …

CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects

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 …

Object manipulation through contact configuration regulation: multiple and intermittent contacts

O Taylor, N Doshi, A Rodriguez - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
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 …

Tilde: Teleoperation for Dexterous In-Hand Manipulation Learning with a DeltaHand

Z Si, KL Zhang, Z Temel, O Kroemer - arXiv preprint arXiv:2405.18804, 2024 - arxiv.org
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 …

Online Adaptation of Sampling-Based Motion Planning with Inaccurate Models

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 …