Mohi Khansari

33 papers A* 9A 1Misc 4Journal 19
YearRankTypeTitle / Venue / Authors
2024 J jnl
Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models.
IEEE Trans. Haptics
Catie Cuan, Allison M. Okamura, Mohi Khansari
2023 A* conf
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation.
ICRA
Cem Gokmen, Daniel Ho, Mohi Khansari
2023 J jnl
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation.
CoRR
Cem Gokmen, Daniel Ho, Mohi Khansari
2023 A conf
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning.
IROS
Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari
2023 J jnl
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning.
CoRR
Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari
2023 A* conf
Practical Visual Deep Imitation Learning via Task-Level Domain Consistency.
ICRA
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
2022 J jnl
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.
CoRR
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn
2022 A* conf
Bayesian Imitation Learning for End-to-End Mobile Manipulation.
ICML
Yuqing Du, Daniel Ho, Alex Alemi, Eric Jang, Mohi Khansari
2022 J jnl
Bayesian Imitation Learning for End-to-End Mobile Manipulation.
CoRR
Yuqing Du, Daniel Ho, Alexander A. Alemi, Eric Jang, Mohi Khansari
2022 J jnl
Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models.
CoRR
Catie Cuan, Allison M. Okamura, Mohi Khansari
2022 J jnl
Practical Imitation Learning in the Real World via Task Consistency Loss.
CoRR
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
2021 J jnl
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale.
CoRR
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine
2021 Misc conf
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale.
CoRL
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine
2021 Misc conf
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.
CoRL
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn
2021 A* conf
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer.
ICRA
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai
2020 A* conf
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data.
ICRA
Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeffrey T. Bingham, Mrinal Kalakrishnan
2020 J jnl
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data.
CoRR
Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeffrey T. Bingham, Mrinal Kalakrishnan
2020 Misc conf
Modeling Long-horizon Tasks as Sequential Interaction Landscapes.
CoRL
Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari
2020 J jnl
Modeling Long-horizon Tasks as Sequential Interaction Landscapes.
CoRR
Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari
2020 A* conf
Online Learning of Object Representations by Appearance Space Feature Alignment.
ICRA
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet
2020 J jnl
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real.
CoRR
Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari
2020 A* conf
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real.
CVPR
Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari
2020 J jnl
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer.
CoRR
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai
2020 A* conf
Scalable Multi-Task Imitation Learning with Autonomous Improvement.
ICRA
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
2020 J jnl
Scalable Multi-Task Imitation Learning with Autonomous Improvement.
CoRR
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
2020 A* conf
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.
ICLR
Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn
2019 J jnl
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks.
CoRR
Xinchen Yan, Mohi Khansari, Jasmine Hsu, Yuanzheng Gong, Yunfei Bai, Sören Pirk, Honglak Lee
2019 Misc conf
Learning Latent Plans from Play.
CoRL
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
2019 J jnl
Learning Latent Plans from Play.
CoRR
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
2019 J jnl
Online Object Representations with Contrastive Learning.
CoRR
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet
2019 J jnl
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward.
CoRR
Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn
2018 J jnl
Learning Contracting Vector Fields For Stable Imitation Learning.
CoRR
Vikas Sindhwani, Stephen Tu, Mohi Khansari
2017 J jnl
Learning Grasping Interaction with Geometry-aware 3D Representations.
CoRR
Xinchen Yan, Mohi Khansari, Yunfei Bai, Jasmine Hsu, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee