Search Results for author: Josiah Wong

Found 8 papers, 4 papers with code

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation

no code implementations15 May 2024 Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

We introduce the BEHAVIOR Vision Suite (BVS), a set of tools and assets to generate fully customized synthetic data for systematic evaluation of computer vision models, based on the newly developed embodied AI benchmark, BEHAVIOR-1K.

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation

no code implementations9 Dec 2021 Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín

Doing this is challenging for two reasons: on the data side, current interfaces make collecting high-quality human demonstrations difficult, and on the learning side, policies trained on limited data can suffer from covariate shift when deployed.

Imitation Learning Navigate

OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation

1 code implementation2 Oct 2021 Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu

Operational Space Control (OSC) has been used as an effective task-space controller for manipulation.

Robot Manipulation

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

1 code implementation6 Aug 2021 Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín

Based on the study, we derive a series of lessons including the sensitivity to different algorithmic design choices, the dependence on the quality of the demonstrations, and the variability based on the stopping criteria due to the different objectives in training and evaluation.

Imitation Learning reinforcement-learning +2

Learning Multi-Arm Manipulation Through Collaborative Teleoperation

no code implementations12 Dec 2020 Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese

To address these challenges, we present Multi-Arm RoboTurk (MART), a multi-user data collection platform that allows multiple remote users to simultaneously teleoperate a set of robotic arms and collect demonstrations for multi-arm tasks.

Imitation Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.