Jianlong Wu

Yuan Ze University, Harbin Institute of Technology

Papers

Total Citations

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About

Jianlong Wu is a robotics researcher whose work bridges the gap between autonomous systems and intelligent manipulation. His primary research areas include bipedal locomotion, object tracking, and task-oriented robotic grasping. Wu’s early foundational work, *Object Tracking for Autonomous Biped Robot* (2010, 6 citations), established key principles for integrating vision-based tracking with dynamic walking control, analyzing degrees of freedom and actuator coordination to enable real-time object pursuit. More recently, his landmark paper *AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Clutter* (2025, 4 citations) has garnered significant attention for its novel approach to robotic manipulation. This work introduces a framework that infers object affordance—where and how to grasp based on functionality—enabling robots to perform task-oriented grasps in cluttered environments without prior training. By combining in-context learning with open-vocabulary reasoning, Wu’s research pushes the boundaries of how robots understand and interact with their environment. His contributions are particularly impactful for advancing autonomous systems that require both mobility and dexterous manipulation, making him a rising voice in modern robotics.