Peiwen Wu

Papers

Total Citations

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About

Peiwen Wu is a robotics researcher whose work focuses on human-robot interaction (HRI) and autonomous mobile manipulation in dynamic environments. His key contributions lie in developing intelligent interactive systems for service robots, particularly in office settings, where he pioneered sensor fusion techniques to enable natural and seamless human-robot collaboration. Wu's most-cited paper, "Human-oriented recognition for intelligent interactive office robot" (2013, 12 citations), introduces a novel framework for endowing robots with full interactive capabilities through multi-sensor integration, laying groundwork for socially aware service robots. His second notable work, "Grasping the object with collision avoidance of wheeled mobile manipulator in dynamic environments" (2013, 5 citations), addresses a critical challenge in robotics—enabling mobile manipulators to grasp objects safely in unpredictable settings without prior environmental knowledge. By proposing a local motion planner based on potential fields, Wu contributed to real-time obstacle avoidance and adaptive grasping, advancing the practical deployment of wheeled robots in cluttered, real-world spaces. Though his citation counts are modest, his research represents foundational steps toward intuitive, safe, and functional service robots—work that continues to inform developments in assistive robotics and intelligent automation.