| 2024 | ICLR | Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks. | Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerk, Jonathan Scholz, David Held |
| 2020 | CoRL | S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency. | Mel Vecerk, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothrl, Raia Hadsell, Lourdes Agapito, Jonathan Scholz |
| 2019 | ICLR | Generative predecessor models for sample-efficient imitation learning. | Yannick Schroecker, Mel Vecerk, Jonathan Scholz |
| 2019 | IROS | Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. | Kevin Sebastian Luck, Mel Vecerk, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz |
| 2019 | ICRA | A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning. | Mel Vecerk, Oleg Sushkov, David Barker, Thomas Rothrl, Todd Hester, Jonathan Scholz |
| 2016 | IROS | Navigation Among Movable Obstacles with learned dynamic constraints. | Jonathan Scholz, Nehchal Jindal, Martin Levihn, Charles L. Isbell Jr., Henrik I. Christensen |
| 2015 | ICRA | Learning non-holonomic object models for mobile manipulation. | Jonathan Scholz, Martin Levihn, Charles L. Isbell Jr., Henrik I. Christensen, Mike Stilman |
| 2014 | ICML | A Physics-Based Model Prior for Object-Oriented MDPs. | Jonathan Scholz, Martin Levihn, Charles Lee Isbell Jr., David Wingate |
| 2013 | ICRA | Planning with movable obstacles in continuous environments with uncertain dynamics. | Martin Levihn, Jonathan Scholz, Mike Stilman |
| 2012 | WAFR | Hierarchical Decision Theoretic Planning for Navigation Among Movable Obstacles. | Martin Levihn, Jonathan Scholz, Mike Stilman |
| 2011 | ICRA | Cart pushing with a mobile manipulation system: Towards navigation with moveable objects. | Jonathan Scholz, Sachin Chitta, Bhaskara Marthi, Maxim Likhachev |