3 papers
cs.RO2026
EvolvingAgent: Curriculum Self-evolving Agent with Continual World Model for Long-Horizon Tasks
Tongtong Feng, Xin Wang, Zekai Zhou +5
Completing Long-Horizon (LH) tasks in open-ended worlds is an important yet difficult problem for embodied agents. Existing approaches suffer from two key challenges: (1) they heav…
cs.CV2025
PhyVLLM: Physics-Guided Video Language Model with Motion-Appearance Disentanglement
Yu-Wei Zhan, Xin Wang, Hong Chen +6
Video Large Language Models (Video LLMs) have shown impressive performance across a wide range of video-language tasks. However, they often fail in scenarios requiring a deeper und…
cs.AI2025
BiTAgent: A Task-Aware Modular Framework for Bidirectional Coupling between Multimodal Large Language Models and World Models
Yu-Wei Zhan, Xin Wang, Pengzhe Mao +3
Building generalist embodied agents requires a unified system that can interpret multimodal goals, model environment dynamics, and execute reliable actions across diverse real-worl…