4 citations · 9 across the 7 of their papers we have counts for
3 papers · 1 filter
Driving Style Recognition Like an Expert Using Semantic Privileged Information from Large Language Models
Zhaokun Chen, Chaopeng Zhang, Xiaohan Li +3
Existing driving style recognition systems largely depend on low-level sensor-derived features for training, neglecting the rich semantic reasoning capability inherent to human exp…
Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations
Chikaha Tsuji, Enrique Coronado, Pablo Osorio +1
Imitation learning offers a pathway for robots to perform repetitive tasks, allowing humans to focus on more engaging and meaningful activities. However, challenges arise from the…
Demonstrating a Control Framework for Physical Human-Robot Interaction Toward Industrial Applications
Bastien Muraccioli, Mathieu Celerier, Mehdi Benallegue +1
Physical Human-Robot Interaction (pHRI) is critical for implementing Industry 5.0, which focuses on human-centric approaches. However, few studies explore the practical alignment o…