Hardware Conditioned Policies for Multi-Robot Transfer Learning. - Tao Chen 046; Adithyavairavan Murali; Abhinav Gupta 001 (NeurIPS, 2018)

Learning Exploration Policies for Navigation. - Tao Chen 046; Saurabh Gupta 001; Abhinav Gupta 001 (ICLR (Poster), 2019)

PyRobot: An Open-source Robotics Framework for Research and Benchmarking. - Adithyavairavan Murali; Tao Chen 046; Kalyan Vasudev Alwala; Dhiraj Gandhi; Lerrel Pinto; Saurabh Gupta 001; Abhinav Gupta 001 (CoRR, 2019)

A System for General In-Hand Object Re-Orientation. - Tao Chen 046; Jie Xu 028; Pulkit Agrawal 001 (CoRL, 2021)

Learning to Jump from Pixels. - Gabriel B. Margolis; Tao Chen 046; Kartik Paigwar; Xiang Fu 005; Donghyun Kim 002; Sangbae Kim; Pulkit Agrawal 001 (CoRL, 2021)

Residual Model Learning for Microrobot Control. - Joshua Gruenstein; Tao Chen 046; Neel Doshi; Pulkit Agrawal 001 (ICRA, 2021)

An End-to-End Differentiable Framework for Contact-Aware Robot Design. - Jie Xu 028; Tao Chen 046; Lara Zlokapa; Michael Foshey; Wojciech Matusik; Shinjiro Sueda; Pulkit Agrawal 001 (Robotics: Science and Systems, 2021)

Efficient Tactile Simulation with Differentiability for Robotic Manipulation. - Jie Xu 028; Sangwoon Kim; Tao Chen 046; Alberto Rodriguez Garcia; Pulkit Agrawal 001; Wojciech Matusik; Shinjiro Sueda (CoRL, 2022)

Topological Experience Replay. - Zhang-Wei Hong; Tao Chen 046; Yen-Chen Lin; Joni Pajarinen; Pulkit Agrawal 001 (ICLR, 2022)

HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. - Yu-Wei Chao; Chris Paxton 001; Yu Xiang 001; Wei Yang 019; Balakumar Sundaralingam; Tao Chen 046; Adithyavairavan Murali; Maya Cakmak; Dieter Fox (ICRA, 2022)

Pre-Trained Language Models for Interactive Decision-Making. - Shuang Li 013; Xavier Puig; Chris Paxton 001; Yilun Du; Clinton Wang; Linxi Fan; Tao Chen 046; De-An Huang; Ekin Akyürek; Anima Anandkumar; Jacob Andreas; Igor Mordatch; et al. (NeurIPS, 2022)

Visual Dexterity: In-hand Dexterous Manipulation from Depth. - Tao Chen 046; Megha Tippur; Siyang Wu; Vikash Kumar; Edward H. Adelson; Pulkit Agrawal 001 (CoRR, 2022)

DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. - Sizhe Li; Zhiao Huang; Tao Chen 046; Tao Du 001; Hao Su 001; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 2023)

Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. - Zechu Li; Tao Chen 046; Zhang-Wei Hong; Anurag Ajay; Pulkit Agrawal 001 (ICML, 2023)

TactoFind: A Tactile Only System for Object Retrieval. - Sameer Pai; Tao Chen 046; Megha Tippur; Edward H. Adelson; Abhishek Gupta 004; Pulkit Agrawal 001 (ICRA, 2023)

Breadcrumbs to the Goal: Supervised Goal Selection from Human-in-the-Loop Feedback. - Marcel Torne Villasevil; Max Balsells; Zihan Wang; Samedh Desai; Tao Chen 046; Pulkit Agrawal 001; Abhishek Gupta 004 (NeurIPS, 2023)

ConceptFusion: Open-set multimodal 3D mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Ganesh Iyer; Soroush Saryazdi; Tao Chen 046; Alaa Maalouf; Shuang Li 013; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; et al. (Robotics: Science and Systems, 2023)

ConceptFusion: Open-set Multimodal 3D Mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Tao Chen 046; Shuang Li 013; Ganesh Iyer; Soroush Saryazdi; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; Celso Miguel de Melo; et al. (CoRR, 2023)

Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback. - Marcel Torne; Max Balsells; Zihan Wang; Samedh Desai; Tao Chen 046; Pulkit Agrawal 001; Abhishek Gupta 004 (CoRR, 2023)

Human-Assisted Continual Robot Learning with Foundation Models. - Meenal Parakh; Alisha Fong; Anthony Simeonov; Abhishek Gupta 004; Tao Chen 046; Pulkit Agrawal 001 (CoRR, 2023)

Visual dexterity: In-hand reorientation of novel and complex object shapes. - Tao Chen 046; Megha Tippur; Siyang Wu; Vikash Kumar; Edward H. Adelson; Pulkit Agrawal 001 (Sci. Robotics, 2023)

Lifelong Robot Learning with Human Assisted Language Planners. - Meenal Parakh; Alisha Fong; Anthony Simeonov; Tao Chen 046; Abhishek Gupta 004; Pulkit Agrawal 001 (ICRA, 2024)

Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. - Steven Li; Rickmer Krohn; Tao Chen 046; Anurag Ajay; Pulkit Agrawal 001; Georgia Chalvatzaki (NeurIPS, 2024)

Reconciling Reality through Simulation: A Real-To-Sim-to-Real Approach for Robust Manipulation. - Marcel Torne Villasevil; Anthony Simeonov; Zechu Li; April Chan; Tao Chen 046; Abhishek Gupta 004; Pulkit Agrawal 001 (Robotics: Science and Systems, 2024)

Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. - Zechu Li; Rickmer Krohn; Tao Chen 046; Anurag Ajay; Pulkit Agrawal 001; Georgia Chalvatzaki (CoRR, 2024)

Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation. - Tao Chen 046; Eric Cousineau; Naveen Kuppuswamy; Pulkit Agrawal 001 (CoRR, 2024)

Rapid locomotion via reinforcement learning. - Gabriel B. Margolis; Ge Yang 003; Kartik Paigwar; Tao Chen 046; Pulkit Agrawal 001 (Int. J. Robotics Res., 2024)