3 citations · 12 across the 27 of their papers we have counts for
6 papers · 1 filter
RoadRunner M&M -- Learning Multi-range Multi-resolution Traversability Maps for Autonomous Off-road Navigation
Manthan Patel, Jonas Frey, Deegan Atha +3
Autonomous robot navigation in off-road environments requires a comprehensive understanding of the terrain geometry and traversability. The degraded perceptual conditions and spars…
Identifying Terrain Physical Parameters from Vision -- Towards Physical-Parameter-Aware Locomotion and Navigation
Jiaqi Chen, Jonas Frey, Ruyi Zhou +3
Identifying the physical properties of the surrounding environment is essential for robotic locomotion and navigation to deal with non-geometric hazards, such as slippery and defor…
Autonomous Forest Inventory with Legged Robots: System Design and Field Deployment
Matías Mattamala, Nived Chebrolu, Benoit Casseau +5
We present a solution for autonomous forest inventory with a legged robotic platform. Compared to their wheeled and aerial counterparts, legged platforms offer an attractive balanc…
Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision
Matías Mattamala, Jonas Frey, Piotr Libera +5
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…
Learning with 3D rotations, a hitchhiker's guide to SO(3)
A. René Geist, Jonas Frey, Mikel Zhobro +2
Many settings in machine learning require the selection of a rotation representation. However, choosing a suitable representation from the many available options is challenging. Th…
RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving
Jonas Frey, Manthan Patel, Deegan Atha +7
Autonomous navigation at high speeds in off-road environments necessitates robots to comprehensively understand their surroundings using onboard sensing only. The extreme condition…