no code implementations • 11 Mar 2025 • Yuki Shirai, Arvind Raghunathan, Devesh K. Jha
In this paper, we present a novel framework for simultaneously designing trajectories of robots, objects, and contacts efficiently for contact-rich manipulation.
no code implementations • 10 Nov 2024 • Yuki Shirai, Tong Zhao, H. J. Terry Suh, Huaijiang Zhu, Xinpei Ni, Jiuguang Wang, Max Simchowitz, Tao Pang
Designing planners and controllers for contact-rich manipulation is extremely challenging as contact violates the smoothness conditions that many gradient-based controller synthesis tools assume.
no code implementations • 15 Mar 2023 • Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
This requirement makes manipulation extremely challenging as a robot has to reason about complex frictional interactions with uncertainty in physical properties of the object and the environment.
no code implementations • 4 Jul 2022 • Yuki Shirai, Xuan Lin, Alexander Schperberg, Yusuke Tanaka, Hayato Kato, Varit Vichathorn, Dennis Hong
While motion planning of locomotion for legged robots has shown great success, motion planning for legged robots with dexterous multi-finger grasping is not mature yet.
no code implementations • 22 Mar 2022 • Yuki Shirai, Devesh K. Jha, Arvind Raghunathan, Diego Romeres
Generalizable manipulation requires that robots be able to interact with novel objects and environment.
no code implementations • 5 Mar 2022 • Yuki Shirai, Devesh K. Jha, Arvind Raghunathan, Diego Romeres
In our formulation, we explicitly consider joint chance constraints for complementarity as well as states to capture the stochastic evolution of dynamics.