Mohi Khansari

According to our database¹, Mohi Khansari authored at least 22 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2023

On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning.

[BibT_eX]

[DOI]

IROS, 2023

Practical Visual Deep Imitation Learning via Task-Level Domain Consistency.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation.

[BibT_eX]

[DOI]

Cem Gokmen

Daniel Ho

Mohi Khansari

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models.

[BibT_eX]

[DOI]

Catie Cuan

Allison M. Okamura

Mohi Khansari

CoRR, 2022

Practical Imitation Learning in the Real World via Task Consistency Loss.

[BibT_eX]

[DOI]

CoRR, 2022

Bayesian Imitation Learning for End-to-End Mobile Manipulation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale.

[BibT_eX]

[DOI]

CoRR, 2021

RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Scalable Multi-Task Imitation Learning with Autonomous Improvement.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Online Learning of Object Representations by Appearance Space Feature Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Modeling Long-horizon Tasks as Sequential Interaction Landscapes.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Online Object Representations with Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Watch, Try, Learn: Meta-Learning from Demonstrations and Reward.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Latent Plans from Play.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Learning Contracting Vector Fields For Stable Imitation Learning.

[BibT_eX]

[DOI]

Vikas Sindhwani

Stephen Tu

Mohi Khansari

CoRR, 2018

2017

Learning Grasping Interaction with Geometry-aware 3D Representations.

[BibT_eX]

[DOI]

CoRR, 2017

Mohi Khansari

Timeline

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On csauthors.net:

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