3 papers
cs.RO2026
Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction
Hao Zhou, Lu Qi, Jason Li +5
Trajectory prediction is critical for autonomous driving, enabling safe and efficient planning in dense, dynamic traffic. Most existing methods optimize prediction accuracy under f…
cs.RO2025
Natural Multimodal Fusion-Based Human-Robot Interaction: Application With Voice and Deictic Posture via Large Language Model
Yuzhi Lai, Shenghai Yuan, Youssef Nassar +5
Translating human intent into robot commands is crucial for the future of service robots in an aging society. Existing Human-Robot Interaction (HRI) systems relying on gestures or…
cs.RO2025
NVP-HRI: Zero Shot Natural Voice and Posture-based Human-Robot Interaction via Large Language Model
Yuzhi Lai, Shenghai Yuan, Youssef Nassar +3
Effective Human-Robot Interaction (HRI) is crucial for future service robots in aging societies. Existing solutions are biased toward only well-trained objects, creating a gap when…