Jiahao Deng

DePaul University, Beijing Institute of Technology

Papers

Total Citations

H-Index

About

Jiahao Deng is a robotics researcher whose work bridges the critical gap between theoretical motion planning and practical human-robot interaction. His primary research areas include continuum robot path planning, capacitive proximity sensing, and safe human-robot collaboration. Deng’s most influential contribution, "Near-optimal Smooth Path Planning for Multisection Continuum Arms" (2019, 20 citations), addresses the fundamental challenge of computing efficient, collision-free trajectories for flexible, snake-like robotic arms. By developing algorithms that generate near-optimal smooth paths both with and without obstacles, Deng provided a foundational framework for deploying continuum robots in cluttered, real-world environments—a key enabler for applications in medical surgery and industrial inspection. In his more recent work, "Improving the measurement accuracy of distance and positioning for capacitive proximity detection in human-robot interaction" (2021, 5 citations), Deng tackles the practical need for precise, non-contact sensing to ensure safety when robots work alongside humans. His contributions are particularly notable for their dual focus: advancing the theoretical elegance of path planning while simultaneously refining the sensor accuracy required for trustworthy physical collaboration. For students and researchers, Deng’s work exemplifies how rigorous algorithmic design can directly enhance the safety and dexterity of next-generation robotic systems.