1 citations · 3 across the 11 of their papers we have counts for
8 papers · 1 filter
Multistep Belief Space Dynamics Learning For Risk-Aware Control
Jason Gibson, Bogdan Vlahov, Patrick Spieler +1
As autonomous vehicles move from a simplified research setting to practical use, there exists a large gap between the dynamic behavior of a human driving and an autonomous system.…
WildOS: Open-Vocabulary Object Search in the Wild
Hardik Shah, Erica Tevere, Deegan Atha +6
Autonomous navigation in complex, unstructured outdoor environments requires robots to operate over long ranges without prior maps and limited depth sensing. In such settings, rely…
Dynamics Modeling using Visual Terrain Features for High-Speed Autonomous Off-Road Driving
Jason Gibson, Anoushka Alavilli, Erica Tevere +2
Rapid autonomous traversal of unstructured terrain is essential for scenarios such as disaster response, search and rescue, or planetary exploration. As a vehicle navigates at the…
Robust High-Speed State Estimation for Off-road Navigation using Radar Velocity Factors
Morten Nissov, Jeffrey A. Edlund, Patrick Spieler +3
Enabling robot autonomy in complex environments for mission critical application requires robust state estimation. Particularly under conditions where the exteroceptive sensors, wh…
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…
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…
ROAMER: Robust Offroad Autonomy using Multimodal State Estimation with Radar Velocity Integration
Morten Nissov, Shehryar Khattak, Jeffrey A. Edlund +3
Reliable offroad autonomy requires low-latency, high-accuracy state estimates of pose as well as velocity, which remain viable throughout environments with sub-optimal operating co…
Pixel to Elevation: Learning to Predict Elevation Maps at Long Range using Images for Autonomous Offroad Navigation
Chanyoung Chung, Georgios Georgakis, Patrick Spieler +3
Understanding terrain topology at long-range is crucial for the success of off-road robotic missions, especially when navigating at high-speeds. LiDAR sensors, which are currently…