activity
20242026
collaborators

7 papers

cs.RO2026

OA-MPPI: Occlusion-Aware Model Predictive Path Integral Control for UAV Flight

Vittorio Palladino, Teaya Yang, Ruiqi Zhang +1

Autonomous UAV flight through cluttered and partially unknown environments requires reasoning not only about observed obstacles but also about occluded regions that the sensor cann…

cs.RO2026

Vision-Based Control of a Tether-Suspended Aerial Radiation Sensing Payload

Ian Snider, Brian J. Quiter, Emil Rofors +1

Aerial radiation surveys achieve higher sensitivity when the radiation detector is held close to the ground. Detector sensitivity falls off roughly with the inverse square of the d…

cs.RO2026

Energy-Efficient Collaborative Transport of Tether-Suspended Payloads via Rotating Equilibrium

Eric Foss, Andrew Tai, Carlo Bosio +1

Collaborative aerial transportation of tethered payloads is fundamentally limited by space, power, and weight constraints. Conventional approaches rely on static equilibrium condit…

cs.LG2025

Combining Large Language Models and Gradient-Free Optimization for Automatic Control Policy Synthesis

Carlo Bosio, Matteo Guarrera, Alberto Sangiovanni-Vincentelli +1

Large Language models (LLMs) have shown promise as generators of symbolic control policies, producing interpretable program-like representations through iterative search. However,…

cs.RO2025

Autonomous Close-Proximity Photovoltaic Panel Coating Using a Quadcopter

Dimitri Jacquemont, Carlo Bosio, Teaya Yang +7

Photovoltaic (PV) panels are becoming increasingly widespread in the domain of renewable energy, and thus, small efficiency gains can have massive effects. Anti-reflective and self…

cs.RO2024

A Tactile Feedback Approach to Path Recovery after High-Speed Impacts for Collision-Resilient Drones

Anton Bredenbeck, Teaya Yang, Salua Hamaza +1

Aerial robots are a well-established solution for exploration, monitoring, and inspection, thanks to their superior maneuverability and agility. However, in many environments, they…

cs.RO2024

Towards Safe and Efficient Through-the-Canopy Autonomous Fruit Counting with UAVs

Teaya Yang, Roman Ibrahimov, Mark W. Mueller

We present an autonomous aerial system for safe and efficient through-the-canopy fruit counting. Aerial robot applications in large-scale orchards face significant challenges due t…