Scissorbot: Learning generalizable scissor skill for paper cutting via simulation, imitation, and sim2real

J Lyu, Y Chen, T Du, F Zhu, H Liu, Y Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper tackles the challenging robotic task of generalizable paper cutting using scissors.
In this task, scissors attached to a robot arm are driven to accurately cut curves drawn on the …

Softmac: Differentiable soft body simulation with forecast-based contact model and two-way coupling with articulated rigid bodies and clothes

M Liu, G Yang, S Luo, L Shao - 2024 IEEE/RSJ International …, 2024 - ieeexplore.ieee.org
Differentiable physics simulation provides an avenue to tackle previously intractable
challenges through gradient-based optimization, thereby greatly improving the efficiency of …

UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments

C Lin, J Fan, Y Wang, Z Yang, Z Chen, L Fang… - arxiv preprint arxiv …, 2024 - arxiv.org
It is desired to equip robots with the capability of interacting with various soft materials as
they are ubiquitous in the real world. While physics simulations are one of the predominant …

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

E **ng, V Luk, J Oh - arxiv preprint arxiv:2412.12089, 2024 - arxiv.org
Recent advances in GPU-based parallel simulation have enabled practitioners to collect
large amounts of data and train complex control policies using deep reinforcement learning …

Stabilizing Reinforcement Learning in Differentiable Simulation of Deformables

E **ng, V Luk, J Oh - NeurIPS 2024 Workshop on Data-driven and … - openreview.net
Recent advances in GPU-based parallel simulation have enabled practitioners to collect
large amounts of data and train complex control policies using deep reinforcement learning …