Mrinal Kalakrishnan

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 32

Top Topics

Reinforcement Learning

Regularized Kernel

Object Tracking

Domain Adaptation

Top Venues

Robotics: Science and Systems

Publications

Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets
What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? ICRA (2024)
Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. ICLR (2024)
Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. CoRR (2023)
Benjamin Bolte, Austin Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton
USA-Net: Unified Semantic and Affordance Representations for Robot Memory. IROS (2023)
Benjamin Bolte, Austin Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton
USA-Net: Unified Semantic and Affordance Representations for Robot Memory. CoRR (2023)
Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander William Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots. CoRR (2023)
Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David J. Rendleman, Sean Kirmani, Jeffrey Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. Robotics: Science and Systems (2023)
Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Kelly Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David Rendleman, Sean Kirmani, Jeff Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. CoRR (2023)
Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets
What do we learn from a large-scale study of pre-trained visual representations in sim and real environments? CoRR (2023)
Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine
How to train your robot with deep reinforcement learning: lessons we have learned. Int. J. Robotics Res. 40 (4-5) (2021)
Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned. CoRR (2021)
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)
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)
Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. Robotics: Science and Systems (2020)
Mengyuan Yan, Adrian Li, Mrinal Kalakrishnan, Peter Pastor
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping. CoRR (2019)
Mengyuan Yan, Adrian Li, Mrinal Kalakrishnan, Peter Pastor
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping. ICRA (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)
Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. CoRR (2019)
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks. CVPR (2019)
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. CoRL (2018)
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks. CoRR (2018)
Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Silvio Savarese, Mrinal Kalakrishnan
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. ICRA (2018)
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. CoRR (2018)
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping. ICRA (2018)
Ali Yahya, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, Sergey Levine
Collective robot reinforcement learning with distributed asynchronous guided policy search. IROS (2017)
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping. CoRR (2017)
Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Mrinal Kalakrishnan
Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. CoRR (2017)
Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine
Path integral guided policy search. ICRA (2017)
Vikas Sindhwani, Rebecca Roelofs, Mrinal Kalakrishnan
Sequential operator splitting for constrained nonlinear optimal control. ACC (2017)
Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine
Path Integral Guided Policy Search. CoRR (2016)
Ali Yahya, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, Sergey Levine
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search. CoRR (2016)
Daniel Kappler, Peter Pastor, Mrinal Kalakrishnan, Manuel Wüthrich, Stefan Schaal
Data-Driven Online Decision Making for Autonomous Manipulation. Robotics: Science and Systems (2015)
Manuel Wüthrich, Peter Pastor, Mrinal Kalakrishnan, Jeannette Bohg, Stefan Schaal
Probabilistic Object Tracking using a Range Camera. CoRR (2015)
Alexander Herzog, Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Jeannette Bohg, Tamim Asfour, Stefan Schaal
Learning of grasp selection based on shape-templates. Auton. Robots 36 (1-2) (2014)
Ludovic Righetti, Mrinal Kalakrishnan, Peter Pastor, Jonathan Binney, Jonathan Kelly, Randolph Voorhies, Gaurav S. Sukhatme, Stefan Schaal
An autonomous manipulation system based on force control and optimization. Auton. Robots 36 (1-2) (2014)
Peter Pastor, Mrinal Kalakrishnan, Franziska Meier, Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal
From dynamic movement primitives to associative skill memories. Robotics Auton. Syst. 61 (4) (2013)
Ludovic Righetti, Jonas Buchli, Michael N. Mistry, Mrinal Kalakrishnan, Stefan Schaal
Optimal distribution of contact forces with inverse-dynamics control. Int. J. Robotics Res. 32 (3) (2013)
Manuel Wuthrich, Peter Pastor, Mrinal Kalakrishnan, Jeannette Bohg, Stefan Schaal
Probabilistic object tracking using a range camera. IROS (2013)
Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal
Learning objective functions for manipulation. ICRA (2013)
Peter Pastor, Mrinal Kalakrishnan, Jonathan Binney, Jonathan Kelly, Ludovic Righetti, Gaurav S. Sukhatme, Stefan Schaal
Learning task error models for manipulation. ICRA (2013)
Alexander Herzog, Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Tamim Asfour, Stefan Schaal
Template-based learning of grasp selection. ICRA (2012)
Mrinal Kalakrishnan, Ludovic Righetti, Peter Pastor, Stefan Schaal
Learning Force Control Policies for Compliant Robotic Manipulation. ICML (2012)
Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Stefan Schaal
Towards Associative Skill Memories. Humanoids (2012)
Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Peter Pastor, Stefan Schaal
STOMP: Stochastic trajectory optimization for motion planning. ICRA (2011)
Freek Stulp, Evangelos A. Theodorou, Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal
Learning motion primitive goals for robust manipulation. IROS (2011)
Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Michael N. Mistry, Stefan Schaal
Learning, planning, and control for quadruped locomotion over challenging terrain. Int. J. Robotics Res. 30 (2) (2011)
Mrinal Kalakrishnan, Ludovic Righetti, Peter Pastor, Stefan Schaal
Learning force control policies for compliant manipulation. IROS (2011)
Peter Pastor, Ludovic Righetti, Mrinal Kalakrishnan, Stefan Schaal
Online movement adaptation based on previous sensor experiences. IROS (2011)
Peter Pastor, Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Stefan Schaal
Skill learning and task outcome prediction for manipulation. ICRA (2011)
Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Michael N. Mistry, Stefan Schaal
Fast, robust quadruped locomotion over challenging terrain. ICRA (2010)
Ioan Alexandru Sucan, Mrinal Kalakrishnan, Sachin Chitta
Combining planning techniques for manipulation using realtime perception. ICRA (2010)
Michael R. Mehan, Juan Nunez-Iglesias, Mrinal Kalakrishnan, Michael S. Waterman, Xianghong Jasmine Zhou
An Integrative Network Approach to Map the Transcriptome to the Phenome. J. Comput. Biol. 16 (8) (2009)
Chun-Chi Liu, Jianjun Hu, Mrinal Kalakrishnan, Haiyan Huang, Xianghong Jasmine Zhou
Integrative disease classification based on cross-platform microarray data. BMC Bioinform. 10 (S-1) (2009)
Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Stefan Schaal
Learning locomotion over rough terrain using terrain templates. IROS (2009)
Jonas Buchli, Mrinal Kalakrishnan, Michael N. Mistry, Peter Pastor, Stefan Schaal
Compliant quadruped locomotion over rough terrain. IROS (2009)
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal
Bayesian Kernel Shaping for Learning Control. NIPS (2008)
Michael R. Mehan, Juan Nunez-Iglesias, Mrinal Kalakrishnan, Michael S. Waterman, Xianghong Jasmine Zhou
An Integrative Network Approach to Map the Transcriptome to the Phenome. RECOMB (2008)