Wen-Hsiao Peng

National Yang Ming Chiao Tung University

Papers

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About

Wen-Hsiao Peng is a leading researcher in computer vision and robotics, with a focus on enabling intelligent systems to interact with and understand their physical environments. His key research areas include object rearrangement planning, robotic manipulation, and learning-based perception for unknown objects. Peng’s major contribution lies in developing methods that allow robots to adaptively handle unknown objects without prior models, a critical step toward general-purpose automation. His 2020 paper, "Adaptive Unknown Object Rearrangement Using Low-Cost Tabletop Robot," addresses the challenge of rearranging unfamiliar objects by predicting their movement after single-step interactions, eliminating the need for manually generated intermediate targets. This work, cited 4 times, demonstrates practical, low-cost solutions for real-world robotics. Peng’s research bridges the gap between theoretical planning and affordable hardware, making advanced robotic capabilities more accessible. His contributions are particularly impactful for applications in warehouse automation, home assistance, and industrial sorting, where robots must operate with minimal prior knowledge. By focusing on adaptive, cost-effective approaches, Peng is shaping the future of intelligent robotics.