Papers
6
Total Citations
62
H-Index
3
About
Pengyu Wang is a rising interdisciplinary researcher whose work bridges autonomous systems, soft robotics, and sustainable materials. His primary research areas include intelligent vehicle trajectory planning, continuum robot motion strategies, and the development of eco-friendly, stimuli-responsive materials for 3D and 4D printing. Wang’s most impactful contribution is his work on improving the A* algorithm for autonomous vehicle trajectory planning (45 citations), addressing critical real-world challenges in adapting classical pathfinding methods to vehicular dynamics. He has also pioneered innovative approaches in soft robotics, including a self-induced large-pitch method for polymer artificial muscles that achieve giant contractile strokes, enabling more efficient soft robotic actuators. Notably, Wang has made significant strides in sustainable engineering by converting waste cooking oil into multifunctional 4D-printable photocurable pressure-sensitive adhesives and self-healing elastomers—work that addresses both environmental waste and industrial demand for adaptive materials. His research on reinforcement learning-based robotic camera arrays for human face tracking further demonstrates his versatility in intelligent sensing systems. With publications spanning top venues and growing citation impact, Wang is establishing himself as a creative problem-solver at the intersection of robotics, materials science, and sustainability.
Research Focus
Key Achievements
Top Papers
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