60 citations · 140 across the 13 of their papers we have counts for
6 papers · 1 filter
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning
Lukas Schneider, Jonas Frey, Takahiro Miki +1
Deployment in hazardous environments requires robots to understand the risks associated with their actions and movements to prevent accidents. Despite its importance, these risks a…
SMUG Planner: A Safe Multi-Goal Planner for Mobile Robots in Challenging Environments
Changan Chen, Jonas Frey, Philip Arm +1
Robotic exploration or monitoring missions require mobile robots to autonomously and safely navigate between multiple target locations in potentially challenging environments. Curr…
Fast Traversability Estimation for Wild Visual Navigation
Jonas Frey, Matias Mattamala, Nived Chebrolu +3
Natural environments such as forests and grasslands are challenging for robotic navigation because of the false perception of rigid obstacles from high grass, twigs, or bushes. In…
Seeing Through the Grass: Semantic Pointcloud Filter for Support Surface Learning
Anqiao Li, Chenyu Yang, Jonas Frey +3
Mobile ground robots require perceiving and understanding their surrounding support surface to move around autonomously and safely. The support surface is commonly estimated based…
Locomotion Policy Guided Traversability Learning using Volumetric Representations of Complex Environments
Jonas Frey, David Hoeller, Shehryar Khattak +1
Despite the progress in legged robotic locomotion, autonomous navigation in unknown environments remains an open problem. Ideally, the navigation system utilizes the full potential…
Continual Adaptation of Semantic Segmentation using Complementary 2D-3D Data Representations
Jonas Frey, Hermann Blum, Francesco Milano +2
Semantic segmentation networks are usually pre-trained once and not updated during deployment. As a consequence, misclassifications commonly occur if the distribution of the traini…