Chao Yong

Vanderbilt University

Papers

3

Total Citations

31

H-Index

3

About

Chao Yong’s research bridges the gap between robotics and novel pneumatic power systems, with a focus on enabling untethered, high-performance robotic platforms. His most influential work, “Real-time Dynamic Path Planning for Dubins’ Nonholonomic Robot” (19 citations), tackles a fundamental challenge in mobile robotics: generating the shortest feasible path for a car-like robot constrained by curvature limits. This real-time algorithm is critical for autonomous navigation in dynamic environments. Shifting to power systems, Yong made significant contributions to free piston engine compressors, publishing a two-part study (2013, 12 citations combined) that addresses the need for high-pressure air supplies in pneumatically actuated robots. Part I provides a rigorous dynamic model of the free piston, while Part II validates the design experimentally, demonstrating a viable power source that rivals batteries in energy density. This work is particularly notable for its potential to liberate pneumatic robots from bulky tethers, expanding their application in field robotics. With a career spanning foundational motion planning and innovative actuation power, Yong’s research offers practical solutions for both autonomous navigation and energy autonomy in robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
31
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Real-time Dynamic Path Planning for Dubins' Nonholonomic Robot
19 citations · 2006
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Vanderbilt University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago