Peter Englert

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Gaussian Process Regression

Motion Planning

Perceptual Aliasing

Top Venues

Publications

Peter Englert, Isabel M. Rayas Fernández, Ragesh Kumar Ramachandran, Gaurav S. Sukhatme
Sampling-Based Motion Planning on Sequenced Manifolds. Robotics: Science and Systems (2021)
Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi
Pathfinder Discovery Networks for Neural Message Passing. WWW (2021)
I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. CoRL (2021)
I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. CoRR (2021)
Peter Englert, Isabel M. Rayas Fernández, Ragesh K. Ramachandran, Gaurav S. Sukhatme
Sampling-Based Motion Planning on Manifold Sequences. CoRR (2020)
Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi
Pathfinder Discovery Networks for Neural Message Passing. CoRR (2020)
Giovanni Sutanto, Isabel M. Rayas Fernández, Peter Englert, Ragesh K. Ramachandran, Gaurav S. Sukhatme
Learning Equality Constraints for Motion Planning on Manifolds. CoRR (2020)
Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. CoRL (2020)
Isabel M. Rayas Fernández, Giovanni Sutanto, Peter Englert, Ragesh K. Ramachandran, Gaurav S. Sukhatme
Learning Manifolds for Sequential Motion Planning. CoRR (2020)
Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. CoRR (2020)
Giovanni Sutanto, Isabel M. Rayas Fernández, Peter Englert, Ragesh Kumar Ramachandran, Gaurav S. Sukhatme
Learning Equality Constraints for Motion Planning on Manifolds. CoRL (2020)
Peter Englert, Marc Toussaint
Kinematic Morphing Networks for Manipulation Skill Transfer. CoRR (2018)
Peter Englert, Marc Toussaint
Kinematic Morphing Networks for Manipulation Skill Transfer. IROS (2018)
Peter Englert, Marc Toussaint
Learning manipulation skills from a single demonstration. Int. J. Robotics Res. 37 (1) (2018)
Danny Drieß, Peter Englert, Marc Toussaint
Constrained Bayesian optimization of combined interaction force/task space controllers for manipulations. ICRA (2017)
Danny Drieß, Peter Englert, Marc Toussaint
Active learning with query paths for tactile object shape exploration. IROS (2017)
Andrea Baisero, Stefan Otte, Peter Englert, Marc Toussaint
Identification of Unmodeled Objects from Symbolic Descriptions. CoRR (2017)
Peter Englert, Ngo Anh Vien, Marc Toussaint
Inverse KKT: Learning cost functions of manipulation tasks from demonstrations. Int. J. Robotics Res. 36 (13-14) (2017)
Ngo Anh Vien, Peter Englert, Marc Toussaint
Policy Search in Reproducing Kernel Hilbert Space. IJCAI (2016)
Peter Englert, Marc Toussaint
Combined Optimization and Reinforcement Learning for Manipulation Skills. Robotics: Science and Systems (2016)
Peter Englert, Marc Toussaint
Inverse KKT - Learning Cost Functions of Manipulation Tasks from Demonstrations. ISRR (2) (2015)
Jens Schreiter, Peter Englert, Duy Nguyen-Tuong, Marc Toussaint
Sparse Gaussian process regression for compliant, real-time robot control. ICRA (2015)
Peter Englert, Marc Toussaint
Reactive phase and task space adaptation for robust motion execution. IROS (2014)
Marc Toussaint, Nathan D. Ratliff, Jeannette Bohg, Ludovic Righetti, Peter Englert, Stefan Schaal
Dual execution of optimized contact interaction trajectories. IROS (2014)
Marc Peter Deisenroth, Peter Englert, Jan Peters, Dieter Fox
Multi-task policy search for robotics. ICRA (2014)
Peter Englert, Alexandros Paraschos, Marc Peter Deisenroth, Jan Peters
Probabilistic model-based imitation learning. Adapt. Behav. 21 (5) (2013)
Peter Englert, Alexandros Paraschos, Jan Peters, Marc Peter Deisenroth
Model-based imitation learning by probabilistic trajectory matching. ICRA (2013)
Marc Peter Deisenroth, Peter Englert, Jan Peters, Dieter Fox
Multi-Task Policy Search. CoRR (2013)