Workshop on Self-Supervised Robot Learning
Robotics: Science and Systems
Virtual Workshop
Accepted Papers
- On the Sensory Commutativity of Action Sequences for Embodied Agents
Hugo Caselles-Dupré, Michael Garcia-Ortiz and David Filliat
- From Images to Task Planning: How NLP Can Help Physical Reasoning
Son Tung Nguyen, Ozgur S. Oguz, Danny Driess and Marc Toussaint
- Self-Supervised, Goal-Conditioned Policies for Navigation in Unstructured Environments
Travis Manderson, Juan Camilo Gamboa, Stefan Wapnick, Jean-Francois Tremblay, Hanqing Zhao, Florian Shkurti, Dave Meger and Gregory Dudek
- Towards Self-Supervised Semantic Representation with a Viewpoint-Dependent Observation Model
Yuri Feldman and Vadim Indelman
- Robot Perception enables Complex Navigation Behavior via Self-Supervised Learning
Marvin Chancan and Michael Milford
- Using Variational Encoding and Generative Adversarial Learning for Inferring Missing Knowledge for Mobile Robots
Francesco Riccio, Roberto Capobianco and Daniele Nardi
- Learning State-Dependent Losses for Inverse Dynamics Learning
Neha Das, Kristen Morse, Yixin Lin, Austin Wang, Akshara Rai and Franziska Meier
- Just Go with the Flow: Self-Supervised Scene Flow Estimation
Himangi Mittal, Brian Okorn and David Held