Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields. - Dae-Hyung Park; Heiko Hoffmann; Peter Pastor; Stefan Schaal (Humanoids, 2008)

Compact models of motor primitive variations for predictable reaching and obstacle avoidance. - Freek Stulp; Erhan Öztop; Peter Pastor; Michael Beetz; Stefan Schaal (Humanoids, 2009)

Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance. - Heiko Hoffmann; Peter Pastor; Dae-Hyung Park; Stefan Schaal (ICRA, 2009)

Learning and generalization of motor skills by learning from demonstration. - Peter Pastor; Heiko Hoffmann; Tamim Asfour; Stefan Schaal (ICRA, 2009)

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)

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

Probabilistic depth image registration incorporating nonvisual information. - Manuel Wuthrich; Peter Pastor; Ludovic Righetti; Aude Billard; 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)

Momentum-based Balance Control for Torque-controlled Humanoids - Alexander Herzog; Ludovic Righetti; Felix Grimminger; Peter Pastor; Stefan Schaal (CoRR, 2013)

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors. - Auke Jan Ijspeert; Jun Nakanishi; Heiko Hoffmann; Peter Pastor; Stefan Schaal (Neural Comput., 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)

Balancing experiments on a torque-controlled humanoid with hierarchical inverse dynamics. - Alexander Herzog; Ludovic Righetti; Felix Grimminger; Peter Pastor; Stefan Schaal (IROS, 2014)

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)

Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection. - Sergey Levine; Peter Pastor; Alex Krizhevsky; Deirdre Quillen (ISER, 2016)

Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection. - Sergey Levine; Peter Pastor; Alex Krizhevsky; Deirdre Quillen (CoRR, 2016)

End-to-End Learning of Semantic Grasping. - Eric Jang; Sudheendra Vijayanarasimhan; Peter Pastor; Julian Ibarz; Sergey Levine (CoRL, 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)

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)

Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection. - Sergey Levine; Peter Pastor; Alex Krizhevsky; Julian Ibarz; Deirdre Quillen (Int. J. Robotics Res., 2018)

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

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)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. - Brian Ichter; Anthony Brohan; Yevgen Chebotar; Chelsea Finn; Karol Hausman; Alexander Herzog; Daniel Ho; Julian Ibarz; Alex Irpan; Eric Jang; Ryan Julian; Dmitry Kalashnikov; et al. (CoRL, 2022)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. - Michael Ahn; Anthony Brohan; Noah Brown; Yevgen Chebotar; Omar Cortes; Byron David; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Daniel Ho; Jasmine Hsu; et al. (CoRR, 2022)

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)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)