Zhiping Peng

Guangdong University of Petrochemical Technology

Papers

Total Citations

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About

Zhiping Peng is a researcher whose work spans intelligent manufacturing, robotics, and bio-inspired visual systems. A key contribution is the development of a bound-guided hybrid estimation of distribution algorithm for energy-efficient robotic assembly line balancing (2020, 33 citations), addressing critical challenges in sustainable automation. Peng also made notable advances in autonomous vehicle safety with a robust visual system for looming cue detection against translating motion (2022, 20 citations), inspired by the locust lobula giant movement detector (LGMD1) to improve collision avoidance. Earlier work on task allocation and automated negotiation for multi-robot systems (2012, 6 citations) laid groundwork for cooperative robotics. Peng’s research uniquely bridges computational optimization, biologically inspired sensing, and multi-agent coordination, demonstrating impact across both theoretical and applied domains. This interdisciplinary approach, reflected in citations from robotics and artificial intelligence communities, positions Peng as a contributor to safer, more efficient autonomous systems.