activity
20232026
most citedRMap: Millimeter-Wave Radar Mapping Through Volumetric Upsampling

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Cost-Effective Radar Sensors for Field-Based Water Level Monitoring with Sub-Centimeter Accuracy

Anna Zavei-Boroda, J. Toby Minear, Kyle Harlow +2

Water level monitoring is critical for flood management, water resource allocation, and ecological assessment, yet traditional methods remain costly and limited in coverage. This w…

cs.RO2025

CU-Multi: A Dataset for Multi-Robot Collaborative Perception

Doncey Albin, Daniel McGann, Miles Mena +6

A central challenge for multi-robot systems is fusing independently gathered perception data into a unified representation. Despite progress in Collaborative SLAM (C-SLAM), benchma…

cs.RO2025

CU-Multi: A Dataset for Multi-Robot Data Association

Doncey Albin, Miles Mena, Annika Thomas +5

Multi-robot systems (MRSs) are valuable for tasks such as search and rescue due to their ability to coordinate over shared observations. A central challenge in these systems is ali…

cs.RO2024

CogExplore: Contextual Exploration with Language-Encoded Environment Representations

Harel Biggie, Patrick Cooper, Doncey Albin +2

Integrating language models into robotic exploration frameworks improves performance in unmapped environments by providing the ability to reason over semantic groundings, contextua…

cs.RO2023

Restorebot: Towards an Autonomous Robotics Platform for Degraded Rangeland Restoration

Kristen Such, Harel Biggie, Christoffer Heckman

Degraded rangelands undergo continual shifts in the appearance and distribution of plant life. The nature of these changes however is subtle: between seasons seedlings sprout up an…

cs.RO2023★ 1 cited

RMap: Millimeter-Wave Radar Mapping Through Volumetric Upsampling

Ajay Narasimha Mopidevi, Kyle Harlow, Christoffer Heckman

Millimeter Wave Radar is being adopted as a viable alternative to lidar and radar in adverse visually degraded conditions, such as the presence of fog and dust. However, this senso…