10 papers
Logic-Guided Socially-aware Robot Navigation World Model
Weizheng Wang, Obi Ike, Soyun Choi +3
Social robot navigation increasingly relies on large language models for reasoning, path planning, and enabling movement in dynamic human spaces. However, relying solely on LLMs fo…
Hyper-STTN: Hypergraph Augmented Spatial-Temporal Transformer Network for Trajectory Prediction
Weizheng Wang, Baijian Yang, Sungeun Hong +2
Predicting crowd intentions and trajectories is critical for a range of real-world applications, involving social robotics and autonomous driving. Accurately modeling such behavior…
REFLEX: Metacognitive Reasoning for Reflective Zero-Shot Robotic Planning with Large Language Models
Wenjie Lin, Jin Wei-Kocsis, Jiansong Zhang +4
While large language models (LLMs) have shown great potential across various domains, their applications in robotics remain largely limited to static prompt-based behaviors and sti…
Game-Based and Gamified Robotics Education: A Comparative Systematic Review and Design Guidelines
Syed T. Mubarrat, Byung-Cheol Min, Tianyu Shao +5
Robotics education fosters computational thinking, creativity, and problem-solving, but remains challenging due to technical complexity. Game-based learning (GBL) and gamification…
EfficientEQA: An Efficient Approach to Open-Vocabulary Embodied Question Answering
Kai Cheng, Zhengyuan Li, Xingpeng Sun +3
Embodied Question Answering (EQA) is an essential yet challenging task for robot assistants. Large vision-language models (VLMs) have shown promise for EQA, but existing approaches…
Multi-Agent LLM Actor-Critic Framework for Social Robot Navigation
Weizheng Wang, Ike Obi, Byung-Cheol Min
Recent advances in robotics and large language models (LLMs) have sparked growing interest in human-robot collaboration and embodied intelligence. To enable the broader deployment…