activity
20242026
most citedRoadRunner M&M -- Learning Multi-range Multi-resolution Traversability Maps for Autonomous Off-road Navigation

1 citations · 3 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO2026

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.…

cs.RO2026

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…

eess.SY2025

Safe Payload Transfer with Ship-Mounted Cranes: A Robust Model Predictive Control Approach

Ersin Das, William A. Welch, Patrick Spieler +14

Ensuring safe real-time control of ship-mounted cranes in unstructured transportation environments requires handling multiple safety constraints while maintaining effective payload…

cs.CV2025★ 1 cited

COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation

Aurelio Noca, Xianmei Lei, Jonathan Becktor +6

Autonomous off-road navigation faces challenges due to diverse, unstructured environments, requiring robust perception with both geometric and semantic understanding. However, scar…

cs.RO2024

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…

cs.CV2024

Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments

Deegan Atha, Xianmei Lei, Shehryar Khattak +7

Off-road environments pose significant perception challenges for high-speed autonomous navigation due to unstructured terrain, degraded sensing conditions, and domain-shifts among…

cs.RO2024

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…

cs.RO2024★ 1 cited

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…

cs.RO2024★ 1 cited

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…

cs.RO2024

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…

cs.RO2024

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…