5 papers
Listening with the Eyes: Benchmarking Egocentric Co-Speech Grounding across Space and Time
Weijie Zhou, Xuantang Xiong, Zhenlin Hu +6
In situated collaboration, speakers often use intentionally underspecified deictic commands (e.g., ``pass me \textit{that}''), whose referent becomes identifiable only by aligning…
ESearch-R1: Learning Cost-Aware MLLM Agents for Interactive Embodied Search via Reinforcement Learning
Weijie Zhou, Xuangtang Xiong, Ye Tian +8
Multimodal Large Language Models (MLLMs) have empowered embodied agents with remarkable capabilities in planning and reasoning. However, when facing ambiguous natural language inst…
PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments
Weijie Zhou, Xuantang Xiong, Yi Peng +5
Visual reasoning in multimodal large language models (MLLMs) has primarily been studied in static, fully observable settings, limiting their effectiveness in real-world environment…
LightPlanner: Unleashing the Reasoning Capabilities of Lightweight Large Language Models in Task Planning
Weijie Zhou, Manli Tao, Chaoyang Zhao +3
In recent years, lightweight large language models (LLMs) have garnered significant attention in the robotics field due to their low computational resource requirements and suitabi…
PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability
Weijie Zhou, Manli Tao, Chaoyang Zhao +4
Understanding the environment and a robot's physical reachability is crucial for task execution. While state-of-the-art vision-language models (VLMs) excel in environmental percept…