Mrinal Kalakrishnan

Orcid: 0000-0003-4292-9857

According to our database¹, Mrinal Kalakrishnan authored at least 46 papers between 2008 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2023

Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots.

[BibT_eX]

[DOI]

CoRR, 2023

What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?

[BibT_eX]

[DOI]

Vincent-Pierre Berges

CoRR, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

[BibT_eX]

[DOI]

CoRR, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

USA-Net: Unified Semantic and Affordance Representations for Robot Memory.

[BibT_eX]

[DOI]

IROS, 2023

2021

How to train your robot with deep reinforcement learning: lessons we have learned.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2021

How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 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

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks.

[BibT_eX]

[DOI]

Konstantinos Bousmalis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

[BibT_eX]

[DOI]

Kuan Fang

Yunfei Bai

Stefan Hinterstoisser

Silvio Savarese

Mrinal Kalakrishnan

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping.

[BibT_eX]

[DOI]

Konstantinos Bousmalis

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

[BibT_eX]

[DOI]

Kuan Fang

Yunfei Bai

Stefan Hinterstoisser

Mrinal Kalakrishnan

CoRR, 2017

Collective robot reinforcement learning with distributed asynchronous guided policy search.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Path integral guided policy search.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Sequential operator splitting for constrained nonlinear optimal control.

[BibT_eX]

[DOI]

Vikas Sindhwani

Rebecca Roelofs

Mrinal Kalakrishnan

Proceedings of the 2017 American Control Conference, 2017

2015

Data-Driven Online Decision Making for Autonomous Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

2014

An autonomous manipulation system based on force control and optimization.

[BibT_eX]

[DOI]

Auton. Robots, 2014

Learning of grasp selection based on shape-templates.

[BibT_eX]

[DOI]

Auton. Robots, 2014

2013

From dynamic movement primitives to associative skill memories.

[BibT_eX]

[DOI]

Evangelos A. Theodorou

Stefan Schaal

Robotics Auton. Syst., 2013

Optimal distribution of contact forces with inverse-dynamics control.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2013

Probabilistic object tracking using a range camera.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Learning task error models for manipulation.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning objective functions for manipulation.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

Template-based learning of grasp selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Learning Force Control Policies for Compliant Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Towards Associative Skill Memories.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

2011

Learning, planning, and control for quadruped locomotion over challenging terrain.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2011

Learning motion primitive goals for robust manipulation.

[BibT_eX]

[DOI]

Freek Stulp

Evangelos A. Theodorou

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Online movement adaptation based on previous sensor experiences.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning force control policies for compliant manipulation.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Skill learning and task outcome prediction for manipulation.

[BibT_eX]

[DOI]

Peter Pastor

Mrinal Kalakrishnan

Sachin Chitta

Evangelos A. Theodorou

Stefan Schaal

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

STOMP: Stochastic trajectory optimization for motion planning.

[BibT_eX]

[DOI]

Mrinal Kalakrishnan

Sachin Chitta

Evangelos A. Theodorou

Peter Pastor

Stefan Schaal

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Combining planning techniques for manipulation using realtime perception.

[BibT_eX]

[DOI]

Ioan Alexandru Sucan

Mrinal Kalakrishnan

Sachin Chitta

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Fast, robust quadruped locomotion over challenging terrain.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

An Integrative Network Approach to Map the Transcriptome to the Phenome.

[BibT_eX]

[DOI]

Xianghong Jasmine Zhou

J. Comput. Biol., 2009

Integrative disease classification based on cross-platform microarray data.

[BibT_eX]

[DOI]

Xianghong Jasmine Zhou

BMC Bioinform., 2009

Learning locomotion over rough terrain using terrain templates.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Compliant quadruped locomotion over rough terrain.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

2008

Bayesian Kernel Shaping for Learning Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Mrinal Kalakrishnan

Timeline

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On csauthors.net:

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