Wenchang Gao — accepted AI-conference papers

2026

A Visualized Framework for Event Cooperation with Generative Agents

Yuyang Tian, Shunqiang Mao, Wenchang Gao, Lanlan Qiu, Tianxing He

AAAI 2026technical

Large Language Models (LLMs) have revolutionized the simulation of agent societies, enabling autonomous planning, memory formation, and social interactions. However, existing frameworks often overlook systematic evaluations for event organization and lack visualized integration with physically groun

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2025

FLEX: A Framework for Learning Robot-Agnostic Force-Based Skills Involving Sustained Contact Object Manipulation

Shijie Fang, Wenchang Gao, Shivam Goel, Christopher Thierauf, Matthias Scheutz, Jivko Sinapov

ICRA 2025

Learning to manipulate objects efficiently, particularly those involving sustained contact (e.g., pushing, sliding) and articulated parts (e.g., drawers, doors), presents significant challenges. Traditional methods, such as robot-centric reinforce-ment learning (RL), imitation learning, and hybrid t

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