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Jeffrey A. Edlund

4 accepted papers

2025

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

IROS 2025

Autonomous off-road navigation faces challenges due to diverse, unstructured environments, requiring robust perception with both geometric and semantic understanding. However, scarce densely labeled semantic data limits generalization across domains. Simulated data helps, but introduces domain adapt

Cited by 0SourceScholar
2024

Robust High-Speed State Estimation for Off-Road Navigation Using Radar Velocity Factors

RA-L 2024

Enabling robot autonomy in complex environments for mission critical application requires robust state estimation. Particularly under conditions where the exteroceptive sensors, which the navigation depends on, can be degraded by environmental challenges thus, leading to mission failure. It is preci

Cited by 9SourceScholar
2022

ACHORD: Communication-Aware Multi-Robot Coordination With Intermittent Connectivity

RA-L 2022

Communication is an important capability for multi-robot exploration because (1) inter-robot communication (comms) improves coverage efficiency and (2) robot-to-base comms improves situational awareness. Exploring comms-restricted (e.g., subterranean) environments requires a multi-robot system to to

Cited by 35SourceScholar
2021

CHORD: Distributed Data-Sharing via Hybrid ROS 1 and 2 for Multi-Robot Exploration of Large-Scale Complex Environments

RA-L 2021

A well-structured and reliable communication system is key to the successful operations of multi-robot systems. In this letter, we present our design and implementation of a multi-robot communication architecture CHORD (Collaborative High-bandwidth Operations with Radio Droppables) based on two popu

Cited by 43SourceScholar