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20242026
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6 papers · 1 filter

cs.RO2026

A Heterogeneous UAV UGV Methodology for Aerial Tracking of Mini Autonomous Cars

Santiago Fernandez, Angel da Silva, Hiago Sodre +3

Aerial tracking of autonomous ground vehicles can provide useful situational awareness in environments where fixed external perception infrastructure is unavailable. However, visua…

cs.RO2026

Stress-Query and Temporal Reliability of Vision-Language Models as copilots in Autonomous UAV Navigation

Hiago Sodre, Sebastian Barcelona, Vincent Sandin +3

Integrating Vision-Language Models (VLMs) into autonomous UAV navigation enables high-level semantic reasoning but introduces critical temporal bottlenecks that can destabilize fli…

cs.RO2026

Vision-Language Models as copilots for Autonomous UAV Navigation: Analysis of Latency and Reliability in Degraded Environments

Hiago Sodre, Sebastian Barcelona, Vincent Sandin +6

The integration of Vision-Language Models (VLMs) in autonomous Unmanned Aerial Vehicles (UAVs) offers unprecedented semantic reasoning capabilities. However, real-time closed-loop…

cs.RO2026

Situation Aware Locomotion for Dual Mobile Cobots in Shared Environments

William Moraes, Igor Nunes, Ahilen Mazondo +4

This paper presents a situation aware locomotion framework for two mobile collaborative robots operating in shared industrial environments. The proposed method models situation awa…

cs.RO2026

Situation Aware Frontier Prioritization for Quadruped Search and Rescue

Kevin Farias, Santiago Martin, Barbara Flores +5

Quadruped robots are a promising platform for search and rescue missions because they can navigate cluttered indoor environments that may be restrictive for wheeled systems. Howeve…

cs.RO2026

Hybrid Attention Estimation Pipeline for Adaptive HRI Using an Expressive Robotic Head

Pablo Moraes, Monica Rodriguez, Christopher Peters +4

This paper presents an applied case study on hybrid visual attention estimation for human-robot interaction using an expressive robotic head based on the InMoov ecosystem. The prop…