Mohi Khansari

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 32

Top Topics

Object Representations

Imitation Learning

Top Venues

Publications

Cem Gokmen, Daniel Ho, Mohi Khansari
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation. CoRR (2023)
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
Practical Visual Deep Imitation Learning via Task-Level Domain Consistency. ICRA (2023)
Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. CoRR (2023)
Cem Gokmen, Daniel Ho, Mohi Khansari
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation. ICRA (2023)
Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. IROS (2023)
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
Practical Imitation Learning in the Real World via Task Consistency Loss. CoRR (2022)
Yuqing Du, Daniel Ho, Alexander A. Alemi, Eric Jang, Mohi Khansari
Bayesian Imitation Learning for End-to-End Mobile Manipulation. CoRR (2022)
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. CoRR (2022)
Catie Cuan, Allison Okamura, Mohi Khansari
Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models. CoRR (2022)
Yuqing Du, Daniel Ho, Alex Alemi, Eric Jang, Mohi Khansari
Bayesian Imitation Learning for End-to-End Mobile Manipulation. ICML (2022)
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. CoRL (2021)
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer. ICRA (2021)
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale. CoRL (2021)
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale. CoRR (2021)
Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari
Modeling Long-horizon Tasks as Sequential Interaction Landscapes. CoRL (2020)
Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. CoRR (2020)
Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. ICRA (2020)
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
Scalable Multi-Task Imitation Learning with Autonomous Improvement. CoRR (2020)
Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. ICLR (2020)
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet
Online Learning of Object Representations by Appearance Space Feature Alignment. ICRA (2020)
Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari
Modeling Long-horizon Tasks as Sequential Interaction Landscapes. CoRR (2020)
Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real. CoRR (2020)
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer. CoRR (2020)
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
Scalable Multi-Task Imitation Learning with Autonomous Improvement. ICRA (2020)
Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real. CVPR (2020)
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet
Online Object Representations with Contrastive Learning. CoRR (2019)
Xinchen Yan, Mohi Khansari, Jasmine Hsu, Yuanzheng Gong, Yunfei Bai, Sören Pirk, Honglak Lee
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks. CoRR (2019)
Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward. CoRR (2019)
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
Learning Latent Plans from Play. CoRR (2019)
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
Learning Latent Plans from Play. CoRL (2019)
Vikas Sindhwani, Stephen Tu, Mohi Khansari
Learning Contracting Vector Fields For Stable Imitation Learning. CoRR (2018)
Xinchen Yan, Mohi Khansari, Yunfei Bai, Jasmine Hsu, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee
Learning Grasping Interaction with Geometry-aware 3D Representations. CoRR (2017)