activity
20232026
most citedAir-Ground Collaboration with SPOMP: Semantic Panoramic Online Mapping and Planning

14 citations · 14 across the 15 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.RO2025

A Multi-Robot Platform for Robotic Triage Combining Onboard Sensing and Foundation Models

Jason Hughes, Marcel Hussing, Edward Zhang +24

This report presents a heterogeneous robotic system designed for remote primary triage in mass-casualty incidents (MCIs). The system employs a coordinated air-ground team of unmann…

cs.RO2025

HALO: High-Altitude Language-Conditioned Monocular Aerial Exploration and Navigation

Yuezhan Tao, Dexter Ong, Fernando Cladera +4

We demonstrate real-time high-altitude aerial metric-semantic mapping and exploration using a monocular camera paired with a global positioning system (GPS) and an inertial measure…

cs.RO2025

TACO: Trajectory-Aware Controller Optimization for Quadrotors

Hersh Sanghvi, Spencer Folk, Vijay Kumar +1

Controller performance in quadrotor trajectory tracking depends heavily on parameter tuning, yet standard approaches often rely on fixed, manually tuned parameters that sacrifice t…

cs.RO2025

Heterogeneous Robot Collaboration in Unstructured Environments with Grounded Generative Intelligence

Zachary Ravichandran, Fernando Cladera, Ankit Prabhu +6

While heterogeneous teams have typically been designed for well-specified missions with known semantics, generative intelligence, i.e., large language models (LLMs) and vision lang…

cs.RO2025

Real-Time Glass Detection and Reprojection using Sensor Fusion Onboard Aerial Robots

Malakhi Hopkins, Varun Murali, Vijay Kumar +1

Autonomous aerial robots are increasingly being deployed in real-world scenarios, where transparent obstacles present significant challenges to reliable navigation and mapping. The…

cs.RO2025

Deploying Foundation Model-Enabled Air and Ground Robots in the Field: Challenges and Opportunities

Zachary Ravichandran, Fernando Cladera, Jason Hughes +5

The integration of foundation models (FMs) into robotics has enabled robots to understand natural language and reason about the semantics in their environments. However, existing F…

cs.RO2025

Air-Ground Collaboration for Language-Specified Missions in Unknown Environments

Fernando Cladera, Zachary Ravichandran, Jason Hughes +6

As autonomous robotic systems become increasingly mature, users will want to specify missions at the level of intent rather than in low-level detail. Language is an expressive and…