Mrinal Kalakrishnan

65 papers A* 19A 8B 1C 1Misc 2Journal 29Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DexterityGen: Foundation Controller for Unprecedented Dexterity. CoRR Zhao-Heng Yin, Changhao Wang, Luis Pineda, Francois Robert Hogan, Chaithanya Krishna Bodduluri, Akash Sharma, Patrick Lancaster, Ishita Prasad, Mrinal Kalakrishnan, Jitendra Malik, Mike Lambeta, Tingfan Wu, Pieter Abbeel, Mustafa Mukadam
2025	A*	`conf`	LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D. ICML Paul McVay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran
2025	J	`jnl`	Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. CoRR Sergio Arnaud, Paul McVay, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
2024	A*	`conf`	Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. ICLR 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
2024	J	`jnl`	NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation. Sci. Robotics Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
2024	A*	`conf`	OpenEQA: Embodied Question Answering in the Era of Foundation Models. CVPR Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran
2024	Misc	`conf`	Sparsh: Self-supervised touch representations for vision-based tactile sensing. CoRL Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam
2024	J	`jnl`	Sparsh: Self-supervised touch representations for vision-based tactile sensing. CoRR Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam
2024	A*	`conf`	What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? ICRA 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
2023	—	`conf`	Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. Robotics: Science and Systems 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 T. 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
2023	J	`jnl`	Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. CoRR 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, Jeffrey T. 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
2023	J	`jnl`	Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots. CoRR 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
2023	J	`jnl`	Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. CoRR Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
2023	A	`conf`	USA-Net: Unified Semantic and Affordance Representations for Robot Memory. IROS Benjamin Bolte, Austin S. Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton
2023	J	`jnl`	USA-Net: Unified Semantic and Affordance Representations for Robot Memory. CoRR Benjamin Bolte, Austin S. Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton
2023	J	`jnl`	What do we learn from a large-scale study of pre-trained visual representations in sim and real environments? CoRR 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
2021	J	`jnl`	How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned. CoRR Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine
2021	J	`jnl`	How to train your robot with deep reinforcement learning: lessons we have learned. Int. J. Robotics Res. Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine
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	—	`conf`	Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. Robotics: Science and Systems Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan
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	A*	`conf`	Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping. ICRA Mengyuan Yan, Adrian Li, Mrinal Kalakrishnan, Peter Pastor
2019	J	`jnl`	Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping. CoRR Mengyuan Yan, Adrian Li, Mrinal Kalakrishnan, Peter Pastor
2019	J	`jnl`	Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. CoRR Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan
2019	A*	`conf`	Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks. CVPR Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis
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	A*	`conf`	Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. ICRA Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Silvio Savarese, Mrinal Kalakrishnan
2018	J	`jnl`	QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. CoRR Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine
2018	Misc	`conf`	Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. CoRL Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine
2018	J	`jnl`	Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks. CoRR Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis
2018	A*	`conf`	Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping. ICRA Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke
2017	A	`conf`	Collective robot reinforcement learning with distributed asynchronous guided policy search. IROS Ali Yahya, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, Sergey Levine
2017	J	`jnl`	Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. CoRR Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Mrinal Kalakrishnan
2017	A*	`conf`	Path integral guided policy search. ICRA Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine
2017	C	`conf`	Sequential operator splitting for constrained nonlinear optimal control. ACC Vikas Sindhwani, Rebecca Roelofs, Mrinal Kalakrishnan
2017	J	`jnl`	Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping. CoRR Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke
2016	J	`jnl`	Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search. CoRR Ali Yahya, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, Sergey Levine
2016	J	`jnl`	Path Integral Guided Policy Search. CoRR Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine
2015	—	`conf`	Data-Driven Online Decision Making for Autonomous Manipulation. Robotics: Science and Systems Daniel Kappler, Peter Pastor, Mrinal Kalakrishnan, Manuel Wüthrich, Stefan Schaal
2015	J	`jnl`	Probabilistic Object Tracking using a Range Camera. CoRR Manuel Wüthrich, Peter Pastor, Mrinal Kalakrishnan, Jeannette Bohg, Stefan Schaal
2014	J	`jnl`	An autonomous manipulation system based on force control and optimization. Auton. Robots Ludovic Righetti, Mrinal Kalakrishnan, Peter Pastor, Jonathan Binney, Jonathan Kelly, Randolph Voorhies, Gaurav S. Sukhatme, Stefan Schaal
2014	J	`jnl`	Learning of grasp selection based on shape-templates. Auton. Robots Alexander Herzog, Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Jeannette Bohg, Tamim Asfour, Stefan Schaal
2013	J	`jnl`	From dynamic movement primitives to associative skill memories. Robotics Auton. Syst. Peter Pastor, Mrinal Kalakrishnan, Franziska Meier, Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal
2013	A*	`conf`	Learning objective functions for manipulation. ICRA Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal
2013	A*	`conf`	Learning task error models for manipulation. ICRA Peter Pastor, Mrinal Kalakrishnan, Jonathan Binney, Jonathan Kelly, Ludovic Righetti, Gaurav S. Sukhatme, Stefan Schaal
2013	J	`jnl`	Optimal distribution of contact forces with inverse-dynamics control. Int. J. Robotics Res. Ludovic Righetti, Jonas Buchli, Michael N. Mistry, Mrinal Kalakrishnan, Stefan Schaal
2013	A	`conf`	Probabilistic object tracking using a range camera. IROS Manuel Wuthrich, Peter Pastor, Mrinal Kalakrishnan, Jeannette Bohg, Stefan Schaal
2012	A*	`conf`	Learning Force Control Policies for Compliant Robotic Manipulation. ICML Mrinal Kalakrishnan, Ludovic Righetti, Peter Pastor, Stefan Schaal
2012	A*	`conf`	Template-based learning of grasp selection. ICRA Alexander Herzog, Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Tamim Asfour, Stefan Schaal
2012	—	`conf`	Towards Associative Skill Memories. Humanoids Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Stefan Schaal
2011	A	`conf`	Learning force control policies for compliant manipulation. IROS Mrinal Kalakrishnan, Ludovic Righetti, Peter Pastor, Stefan Schaal
2011	A	`conf`	Learning motion primitive goals for robust manipulation. IROS Freek Stulp, Evangelos A. Theodorou, Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal
2011	J	`jnl`	Learning, planning, and control for quadruped locomotion over challenging terrain. Int. J. Robotics Res. Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Michael N. Mistry, Stefan Schaal
2011	A	`conf`	Online movement adaptation based on previous sensor experiences. IROS Peter Pastor, Ludovic Righetti, Mrinal Kalakrishnan, Stefan Schaal
2011	A*	`conf`	STOMP: Stochastic trajectory optimization for motion planning. ICRA Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Peter Pastor, Stefan Schaal
2011	A*	`conf`	Skill learning and task outcome prediction for manipulation. ICRA Peter Pastor, Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Stefan Schaal
2010	A*	`conf`	Combining planning techniques for manipulation using realtime perception. ICRA Ioan Alexandru Sucan, Mrinal Kalakrishnan, Sachin Chitta
2010	A*	`conf`	Fast, robust quadruped locomotion over challenging terrain. ICRA Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Michael N. Mistry, Stefan Schaal
2009	J	`jnl`	An Integrative Network Approach to Map the Transcriptome to the Phenome. J. Comput. Biol. Michael R. Mehan, Juan Nunez-Iglesias, Mrinal Kalakrishnan, Michael S. Waterman, Xianghong Jasmine Zhou
2009	A	`conf`	Compliant quadruped locomotion over rough terrain. IROS Jonas Buchli, Mrinal Kalakrishnan, Michael N. Mistry, Peter Pastor, Stefan Schaal
2009	J	`jnl`	Integrative disease classification based on cross-platform microarray data. BMC Bioinform. Chun-Chi Liu, Jianjun Hu, Mrinal Kalakrishnan, Haiyan Huang, Xianghong Jasmine Zhou
2009	A	`conf`	Learning locomotion over rough terrain using terrain templates. IROS Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Stefan Schaal
2008	B	`conf`	An Integrative Network Approach to Map the Transcriptome to the Phenome. RECOMB Michael R. Mehan, Juan Nunez-Iglesias, Mrinal Kalakrishnan, Michael S. Waterman, Xianghong Jasmine Zhou
2008	—	`conf`	Bayesian Kernel Shaping for Learning Control. NIPS Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal