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cs.RO2026
Rethinking Language's Role in Efficient VLA for Autonomous Vehicles: Toward Smarter, Trustworthy Driving
Tongfei Guo, Lili Su
Vision-Language-Action (VLA) models are reshaping autonomous driving (AD) by unifying perception, reasoning, and control through language, enabling semantic grounding, interpretabl…
cs.RO2024
Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape
Chao Huang, Wenshuo Zang, Carlo Pinciroli +4
Compared with single robots, Multi-Robot Systems (MRS) can perform missions more efficiently due to the presence of multiple members with diverse capabilities. However, deploying a…
cs.RO2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles
Tongfe Guo, Taposh Banerjee, Rui Liu +1
Accurate trajectory prediction is essential for the safe operation of autonomous vehicles in real-world environments. Even well-trained machine learning models may produce unreliab…