ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

1 code implementation • 9 Feb 2023 • Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su

Generalizable manipulation skills, which can be composed to tackle long-horizon and complex daily chores, are one of the cornerstones of Embodied AI.

Imitation Learning Reinforcement Learning (RL) +1

Emergent collective intelligence from massive-agent cooperation and competition

1 code implementation • 4 Jan 2023 • HanMo Chen, Stone Tao, Jiaxin Chen, Weihan Shen, Xihui Li, Chenghui Yu, Sikai Cheng, Xiaolong Zhu, Xiu Li

Since these learned group strategies arise from individual decisions without an explicit coordination mechanism, we claim that artificial collective intelligence emerges from massive-agent cooperation and competition.

reinforcement-learning Reinforcement Learning (RL)

Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization

1 code implementation • 14 Oct 2022 • Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su

In the abstract environment, complex dynamics such as physical manipulation are removed, making abstract trajectories easier to generate.

Few-Shot Imitation Learning Reinforcement Learning (RL)

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations

3 code implementations • 30 Jul 2021 • Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su

Here we propose SAPIEN Manipulation Skill Benchmark (ManiSkill) to benchmark manipulation skills over diverse objects in a full-physics simulator.