Haokun Kang

Papers

Total Citations

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About

Haokun Kang is a robotics researcher whose work centers on the dynamics and energy optimization of mobile robotic systems. His most cited paper, "Inverse dynamics and energy optimal trajectories for a wheeled mobile robot" (2017), has garnered 16 citations, establishing a foundation for efficient motion planning in wheeled platforms. This contribution is particularly significant for autonomous navigation in resource-constrained environments, where minimizing energy consumption extends operational range and battery life. Kang's research integrates inverse dynamics with trajectory optimization, offering a systematic approach to reducing mechanical work and electrical power draw during robot locomotion. Beyond this flagship work, his broader interests encompass control theory, path planning, and the intersection of mechanics and energy efficiency in robotics. While his citation count reflects a focused, early-career impact, the practical relevance of his energy-optimal trajectory methods has implications for field robotics, warehouse automation, and planetary rovers. Kang’s work exemplifies how fundamental dynamics can be harnessed to create smarter, more sustainable mobile robots, making him a promising voice in the ongoing quest for autonomous systems that operate longer and more intelligently.