Learning Grasping Interaction with Geometry-aware 3D Representations. - Xinchen Yan; Mohi Khansari; Yunfei Bai; Jasmine Hsu; Arkanath Pathak; Abhinav Gupta 001; James Davidson; Honglak Lee (CoRR, 2017)

Learning Contracting Vector Fields For Stable Imitation Learning. - Vikas Sindhwani; Stephen Tu; Mohi Khansari (CoRR, 2018)

Learning Latent Plans from Play. - Corey Lynch; Mohi Khansari; Ted Xiao; Vikash Kumar; Jonathan Tompson; Sergey Levine; Pierre Sermanet (CoRL, 2019)

Watch, Try, Learn: Meta-Learning from Demonstrations and Reward. - Allan Zhou; Eric Jang; Daniel Kappler; Alexander Herzog; Mohi Khansari; Paul Wohlhart; Yunfei Bai; Mrinal Kalakrishnan; Sergey Levine; Chelsea Finn (CoRR, 2019)

Online Object Representations with Contrastive Learning. - Sören Pirk; Mohi Khansari; Yunfei Bai; Corey Lynch; Pierre Sermanet (CoRR, 2019)

Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks. - Xinchen Yan; Mohi Khansari; Jasmine Hsu; Yuanzheng Gong; Yunfei Bai; Sören Pirk; Honglak Lee (CoRR, 2019)

Modeling Long-horizon Tasks as Sequential Interaction Landscapes. - Sören Pirk; Karol Hausman; Alexander Toshev; Mohi Khansari (CoRL, 2020)

RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real. - Kanishka Rao; Chris Harris 001; Alex Irpan; Sergey Levine; Julian Ibarz; Mohi Khansari (CVPR, 2020)

Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. - Allan Zhou; Eric Jang; Daniel Kappler; Alexander Herzog; Mohi Khansari; Paul Wohlhart; Yunfei Bai; Mrinal Kalakrishnan; Sergey Levine; Chelsea Finn (ICLR, 2020)

Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. - Mohi Khansari; Daniel Kappler; Jianlan Luo; Jeff Bingham; Mrinal Kalakrishnan (ICRA, 2020)

Online Learning of Object Representations by Appearance Space Feature Alignment. - Sören Pirk; Mohi Khansari; Yunfei Bai; Corey Lynch; Pierre Sermanet (ICRA, 2020)

Scalable Multi-Task Imitation Learning with Autonomous Improvement. - Avi Singh; Eric Jang; Alexander Irpan; Daniel Kappler; Murtaza Dalal; Sergey Levine; Mohi Khansari; Chelsea Finn (ICRA, 2020)

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. - Eric Jang; Alex Irpan; Mohi Khansari; Daniel Kappler; Frederik Ebert; Corey Lynch; Sergey Levine; Chelsea Finn (CoRL, 2021)

AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale. - Yao Lu 006; Karol Hausman; Yevgen Chebotar; Mengyuan Yan; Eric Jang; Alexander Herzog; Ted Xiao; Alex Irpan; Mohi Khansari; Dmitry Kalashnikov; Sergey Levine (CoRL, 2021)

RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer. - Daniel Ho; Kanishka Rao; Zhuo Xu; Eric Jang; Mohi Khansari; Yunfei Bai (ICRA, 2021)

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale. - Yao Lu 006; Karol Hausman; Yevgen Chebotar; Mengyuan Yan; Eric Jang; Alexander Herzog; Ted Xiao; Alex Irpan; Mohi Khansari; Dmitry Kalashnikov; Sergey Levine (CoRR, 2021)

Bayesian Imitation Learning for End-to-End Mobile Manipulation. - Yuqing Du; Daniel Ho; Alex Alemi; Eric Jang; Mohi Khansari (ICML, 2022)

Practical Imitation Learning in the Real World via Task Consistency Loss. - Mohi Khansari; Daniel Ho; Yuqing Du; Armando Fuentes; Matthew Bennice; Nicolas Sievers; Sean Kirmani; Yunfei Bai; Eric Jang (CoRR, 2022)

Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation. - Cem Gokmen; Daniel Ho; Mohi Khansari (ICRA, 2023)

Practical Visual Deep Imitation Learning via Task-Level Domain Consistency. - Mohi Khansari; Daniel Ho; Yuqing Du; Armando Fuentes; Matthew Bennice; Nicolas Sievers; Sean Kirmani; Yunfei Bai; Eric Jang (ICRA, 2023)

On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. - Maks Sorokin; Chuyuan Fu; Jie Tan 001; C. Karen Liu; Yunfei Bai; Wenlong Lu; Sehoon Ha; Mohi Khansari (IROS, 2023)

Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models. - Catie Cuan; Allison M. Okamura; Mohi Khansari (IEEE Trans. Haptics, 2024)