Bayesian Kernel Shaping for Learning Control. - Jo-Anne Ting; Mrinal Kalakrishnan; Sethu Vijayakumar; Stefan Schaal (NIPS, 2008)

Compliant quadruped locomotion over rough terrain. - Jonas Buchli; Mrinal Kalakrishnan; Michael N. Mistry; Peter Pastor; Stefan Schaal (IROS, 2009)

Learning locomotion over rough terrain using terrain templates. - Mrinal Kalakrishnan; Jonas Buchli; Peter Pastor; Stefan Schaal (IROS, 2009)

Integrative disease classification based on cross-platform microarray data. - Chun-Chi Liu; Jianjun Hu; Mrinal Kalakrishnan; Haiyan Huang; Xianghong Jasmine Zhou (BMC Bioinform., 2009)

An Integrative Network Approach to Map the Transcriptome to the Phenome. - Michael R. Mehan; Juan Nunez-Iglesias; Mrinal Kalakrishnan; Michael S. Waterman; Xianghong Jasmine Zhou (J. Comput. Biol., 2009)

Fast, robust quadruped locomotion over challenging terrain. - Mrinal Kalakrishnan; Jonas Buchli; Peter Pastor; Michael N. Mistry; Stefan Schaal (ICRA, 2010)

Combining planning techniques for manipulation using realtime perception. - Ioan Alexandru Sucan; Mrinal Kalakrishnan; Sachin Chitta (ICRA, 2010)

STOMP: Stochastic trajectory optimization for motion planning. - Mrinal Kalakrishnan; Sachin Chitta; Evangelos A. Theodorou; Peter Pastor; Stefan Schaal (ICRA, 2011)

Skill learning and task outcome prediction for manipulation. - Peter Pastor; Mrinal Kalakrishnan; Sachin Chitta; Evangelos A. Theodorou; Stefan Schaal (ICRA, 2011)

Learning force control policies for compliant manipulation. - Mrinal Kalakrishnan; Ludovic Righetti; Peter Pastor; Stefan Schaal (IROS, 2011)

Online movement adaptation based on previous sensor experiences. - Peter Pastor; Ludovic Righetti; Mrinal Kalakrishnan; Stefan Schaal (IROS, 2011)

Learning motion primitive goals for robust manipulation. - Freek Stulp; Evangelos A. Theodorou; Mrinal Kalakrishnan; Peter Pastor; Ludovic Righetti; Stefan Schaal (IROS, 2011)

Learning, planning, and control for quadruped locomotion over challenging terrain. - Mrinal Kalakrishnan; Jonas Buchli; Peter Pastor; Michael N. Mistry; Stefan Schaal (Int. J. Robotics Res., 2011)

Towards Associative Skill Memories. - Peter Pastor; Mrinal Kalakrishnan; Ludovic Righetti; Stefan Schaal (Humanoids, 2012)

Learning Force Control Policies for Compliant Robotic Manipulation. - Mrinal Kalakrishnan; Ludovic Righetti; Peter Pastor; Stefan Schaal (ICML, 2012)

Template-based learning of grasp selection. - Alexander Herzog; Peter Pastor; Mrinal Kalakrishnan; Ludovic Righetti; Tamim Asfour; Stefan Schaal (ICRA, 2012)

Learning objective functions for manipulation. - Mrinal Kalakrishnan; Peter Pastor; Ludovic Righetti; Stefan Schaal (ICRA, 2013)

Learning task error models for manipulation. - Peter Pastor; Mrinal Kalakrishnan; Jonathan Binney; Jonathan Kelly; Ludovic Righetti; Gaurav S. Sukhatme; Stefan Schaal (ICRA, 2013)

Probabilistic object tracking using a range camera. - Manuel Wuthrich; Peter Pastor; Mrinal Kalakrishnan; Jeannette Bohg; Stefan Schaal (IROS, 2013)

Optimal distribution of contact forces with inverse-dynamics control. - Ludovic Righetti; Jonas Buchli; Michael N. Mistry; Mrinal Kalakrishnan; Stefan Schaal (Int. J. Robotics Res., 2013)

From dynamic movement primitives to associative skill memories. - Peter Pastor; Mrinal Kalakrishnan; Franziska Meier; Freek Stulp; Jonas Buchli; Evangelos A. Theodorou; Stefan Schaal (Robotics Auton. Syst., 2013)

Learning of grasp selection based on shape-templates. - Alexander Herzog; Peter Pastor; Mrinal Kalakrishnan; Ludovic Righetti; Jeannette Bohg; Tamim Asfour; Stefan Schaal (Auton. Robots, 2014)

An autonomous manipulation system based on force control and optimization. - Ludovic Righetti; Mrinal Kalakrishnan; Peter Pastor; Jonathan Binney; Jonathan Kelly; Randolph Voorhies; Gaurav S. Sukhatme; Stefan Schaal (Auton. Robots, 2014)

Data-Driven Online Decision Making for Autonomous Manipulation. - Daniel Kappler; Peter Pastor; Mrinal Kalakrishnan; Manuel Wüthrich; Stefan Schaal (Robotics: Science and Systems, 2015)

Sequential operator splitting for constrained nonlinear optimal control. - Vikas Sindhwani; Rebecca Roelofs; Mrinal Kalakrishnan (ACC, 2017)

Path integral guided policy search. - Yevgen Chebotar; Mrinal Kalakrishnan; Ali Yahya; Adrian Li; Stefan Schaal; Sergey Levine (ICRA, 2017)

Collective robot reinforcement learning with distributed asynchronous guided policy search. - Ali Yahya; Adrian Li; Mrinal Kalakrishnan; Yevgen Chebotar; Sergey Levine (IROS, 2017)

Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. - Kuan Fang; Yunfei Bai; Stefan Hinterstoisser; Mrinal Kalakrishnan (CoRR, 2017)

Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. - Dmitry Kalashnikov; Alex Irpan; Peter Pastor; Julian Ibarz; Alexander Herzog; Eric Jang; Deirdre Quillen; Ethan Holly; Mrinal Kalakrishnan; Vincent Vanhoucke; Sergey Levine (CoRL, 2018)

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping. - Konstantinos Bousmalis; Alex Irpan; Paul Wohlhart; Yunfei Bai; Matthew Kelcey; Mrinal Kalakrishnan; Laura Downs; Julian Ibarz; Peter Pastor; Kurt Konolige; Sergey Levine; Vincent Vanhoucke (ICRA, 2018)

Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. - Kuan Fang; Yunfei Bai; Stefan Hinterstoisser; Silvio Savarese; Mrinal Kalakrishnan (ICRA, 2018)

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. - Dmitry Kalashnikov; Alex Irpan; Peter Pastor; Julian Ibarz; Alexander Herzog; Eric Jang; Deirdre Quillen; Ethan Holly; Mrinal Kalakrishnan; Vincent Vanhoucke; Sergey Levine (CoRR, 2018)

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks. - Stephen James; Paul Wohlhart; Mrinal Kalakrishnan; Dmitry Kalashnikov; Alex Irpan; Julian Ibarz; Sergey Levine; Raia Hadsell; Konstantinos Bousmalis (CVPR, 2019)

Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping. - Mengyuan Yan; Adrian Li; Mrinal Kalakrishnan; Peter Pastor (ICRA, 2019)

Watch, Try, Learn: Meta-Learning from Demonstrations and Reward. - Allan Zhou; Eric Jang; Daniel Kappler; Alexander Herzog; Mohi Khansari; Paul Wohlhart; Yunfei Bai; Mrinal Kalakrishnan; Sergey Levine; Chelsea Finn (CoRR, 2019)

Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. - Allan Zhou; Eric Jang; Daniel Kappler; Alexander Herzog; Mohi Khansari; Paul Wohlhart; Yunfei Bai; Mrinal Kalakrishnan; Sergey Levine; Chelsea Finn (ICLR, 2020)

Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. - Mohi Khansari; Daniel Kappler; Jianlan Luo; Jeff Bingham; Mrinal Kalakrishnan (ICRA, 2020)

Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping. - Cristian Bodnar; Adrian Li; Karol Hausman; Peter Pastor; Mrinal Kalakrishnan (Robotics: Science and Systems, 2020)

How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned. - Julian Ibarz; Jie Tan 001; Chelsea Finn; Mrinal Kalakrishnan; Peter Pastor; Sergey Levine (CoRR, 2021)

How to train your robot with deep reinforcement learning: lessons we have learned. - Julian Ibarz; Jie Tan 001; Chelsea Finn; Mrinal Kalakrishnan; Peter Pastor; Sergey Levine (Int. J. Robotics Res., 2021)

USA-Net: Unified Semantic and Affordance Representations for Robot Memory. - Benjamin Bolte; Austin S. Wang; Jimmy Yang; Mustafa Mukadam; Mrinal Kalakrishnan; Chris Paxton 001 (IROS, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (Robotics: Science and Systems, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (CoRR, 2023)

Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. - Sudharshan Suresh; Haozhi Qi; Tingfan Wu; Taosha Fan; Luis Pineda; Mike Lambeta; Jitendra Malik; Mrinal Kalakrishnan; Roberto Calandra; Michael Kaess; Joseph Ortiz; Mustafa Mukadam (CoRR, 2023)

Sparsh: Self-supervised touch representations for vision-based tactile sensing. - Carolina Higuera; Akash Sharma; Chaithanya Krishna Bodduluri; Taosha Fan; Patrick Lancaster; Mrinal Kalakrishnan; Michael Kaess; Byron Boots; Mike Lambeta; Tingfan Wu; Mustafa Mukadam (CoRL, 2024)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. - 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; et al. (ICLR, 2024)

What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? - 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; et al. (ICRA, 2024)

NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation. - Sudharshan Suresh; Haozhi Qi; Tingfan Wu; Taosha Fan; Luis Pineda; Mike Lambeta; Jitendra Malik; Mrinal Kalakrishnan; Roberto Calandra; Michael Kaess; Joseph Ortiz; Mustafa Mukadam (Sci. Robotics, 2024)

DexterityGen: Foundation Controller for Unprecedented Dexterity. - 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; et al. (CoRR, 2025)

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. - 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; et al. (CoRR, 2025)