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ORCIDMrinal Kalakrishnan
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2020 – today
- 2024
[j9]Sudharshan Suresh
, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam:
NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation. Sci. Robotics 9(96) (2024)- [c34]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:
OpenEQA: Embodied Question Answering in the Era of Foundation Models. CVPR 2024: 16488-16498 - [c33]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 - [c32]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: 17515-17521 - [i18]Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam:
Sparsh: Self-supervised touch representations for vision-based tactile sensing. CoRR abs/2410.24090 (2024) - 2023
- [c31]Benjamin Bolte, Austin S. Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton:
USA-Net: Unified Semantic and Affordance Representations for Robot Memory. IROS 2023: 1-8 - [c30]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 - [i17]Benjamin Bolte, Austin S. Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton:
USA-Net: Unified Semantic and Affordance Representations for Robot Memory. CoRR abs/2304.12164 (2023) - [i16]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 abs/2305.03270 (2023) - [i15]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 abs/2310.02219 (2023) - [i14]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 abs/2310.13724 (2023) - [i13]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 abs/2312.13469 (2023) - 2021
- [j8]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) - [i12]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 abs/2102.02915 (2021) - 2020
- [c29]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 - [c28]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: 3597-3603 - [c27]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 - [i11]Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan:
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. CoRR abs/2005.06594 (2020)
2010 – 2019
- 2019
- [c26]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: 12627-12637 - [c25]Mengyuan Yan, Adrian Li, Mrinal Kalakrishnan, Peter Pastor:
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping. ICRA 2019: 4804-4810 - [i10]Mengyuan Yan, Adrian Li, Mrinal Kalakrishnan, Peter Pastor:
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping. CoRR abs/1904.07319 (2019) - [i9]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 abs/1906.03352 (2019) - [i8]Cristian Bodnar, Adrian Li, Karol Hausman, Peter Pastor, Mrinal Kalakrishnan:
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. CoRR abs/1910.02787 (2019) - 2018
- [c24]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: 651-673 - [c23]Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Silvio Savarese, Mrinal Kalakrishnan:
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. ICRA 2018: 3516-3523 - [c22]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: 4243-4250 - [i7]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 abs/1806.10293 (2018) - [i6]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 abs/1812.07252 (2018) - 2017
- [c21]Vikas Sindhwani, Rebecca Roelofs, Mrinal Kalakrishnan:
Sequential operator splitting for constrained nonlinear optimal control. ACC 2017: 4864-4871 - [c20]Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine:
Path integral guided policy search. ICRA 2017: 3381-3388 - [c19]Ali Yahya, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, Sergey Levine:
Collective robot reinforcement learning with distributed asynchronous guided policy search. IROS 2017: 79-86 - [i5]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 abs/1709.07857 (2017) - [i4]Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Mrinal Kalakrishnan:
Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. CoRR abs/1710.06422 (2017) - 2016
- [i3]Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine:
Path Integral Guided Policy Search. CoRR abs/1610.00529 (2016) - [i2]Ali Yahya, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, Sergey Levine:
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search. CoRR abs/1610.00673 (2016) - 2015
- [c18]Daniel Kappler, Peter Pastor, Mrinal Kalakrishnan, Manuel Wüthrich, Stefan Schaal:
Data-Driven Online Decision Making for Autonomous Manipulation. Robotics: Science and Systems 2015 - [i1]Manuel Wüthrich, Peter Pastor, Mrinal Kalakrishnan, Jeannette Bohg, Stefan Schaal:
Probabilistic Object Tracking using a Range Camera. CoRR abs/1505.00241 (2015) - 2014
- [j7]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): 11-30 (2014) - [j6]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): 51-65 (2014) - 2013
- [j5]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): 280-298 (2013) - [j4]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): 351-361 (2013) - [c17]Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal:
Learning objective functions for manipulation. ICRA 2013: 1331-1336 - [c16]Peter Pastor, Mrinal Kalakrishnan, Jonathan Binney, Jonathan Kelly, Ludovic Righetti, Gaurav S. Sukhatme, Stefan Schaal:
Learning task error models for manipulation. ICRA 2013: 2612-2618 - [c15]Manuel Wuthrich, Peter Pastor, Mrinal Kalakrishnan, Jeannette Bohg, Stefan Schaal:
Probabilistic object tracking using a range camera. IROS 2013: 3195-3202 - 2012
- [c14]Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Stefan Schaal:
Towards Associative Skill Memories. Humanoids 2012: 309-315 - [c13]Mrinal Kalakrishnan, Ludovic Righetti, Peter Pastor, Stefan Schaal:
Learning Force Control Policies for Compliant Robotic Manipulation. ICML 2012 - [c12]Alexander Herzog, Peter Pastor, Mrinal Kalakrishnan, Ludovic Righetti, Tamim Asfour, Stefan Schaal:
Template-based learning of grasp selection. ICRA 2012: 2379-2384 - 2011
- [j3]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): 236-258 (2011) - [c11]Peter Pastor, Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Stefan Schaal:
Skill learning and task outcome prediction for manipulation. ICRA 2011: 3828-3834 - [c10]Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Peter Pastor, Stefan Schaal:
STOMP: Stochastic trajectory optimization for motion planning. ICRA 2011: 4569-4574 - [c9]Freek Stulp, Evangelos A. Theodorou, Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal:
Learning motion primitive goals for robust manipulation. IROS 2011: 325-331 - [c8]Peter Pastor, Ludovic Righetti, Mrinal Kalakrishnan, Stefan Schaal:
Online movement adaptation based on previous sensor experiences. IROS 2011: 365-371 - [c7]Mrinal Kalakrishnan, Ludovic Righetti, Peter Pastor, Stefan Schaal:
Learning force control policies for compliant manipulation. IROS 2011: 4639-4644 - 2010
- [c6]Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Michael N. Mistry, Stefan Schaal:
Fast, robust quadruped locomotion over challenging terrain. ICRA 2010: 2665-2670 - [c5]Ioan Alexandru Sucan, Mrinal Kalakrishnan, Sachin Chitta:
Combining planning techniques for manipulation using realtime perception. ICRA 2010: 2895-2901
2000 – 2009
- 2009
- [j2]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) - [j1]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): 1023-1034 (2009) - [c4]Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, Stefan Schaal:
Learning locomotion over rough terrain using terrain templates. IROS 2009: 167-172 - [c3]Jonas Buchli, Mrinal Kalakrishnan, Michael N. Mistry, Peter Pastor, Stefan Schaal:
Compliant quadruped locomotion over rough terrain. IROS 2009: 814-820 - 2008
- [c2]Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal:
Bayesian Kernel Shaping for Learning Control. NIPS 2008: 1673-1680 - [c1]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: 232-245
Coauthor Index
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