Yaozhong Kang
Papers
2
Total Citations
6
H-Index
1
About
Yaozhong Kang is a robotics researcher focused on advancing multisensor perception and human-robot interaction for autonomous systems. His primary research areas include sensor calibration, active perception, and collaborative robotic assistance. Kang’s most notable contribution is the development of an observability-aware active calibration framework for ground robots, which optimizes sensor extrinsic parameters through online trajectory planning—eliminating the need for complex, human-operated calibration procedures. This work, published in 2025, has already garnered 5 citations for its practical impact on high-performance spatial alignment in perception systems. Additionally, Kang pioneered a collaborative fall detection and response system that integrates Wi-Fi sensing with a mobile companion robot, using channel state information to non-intrusively detect falls in non-line-of-sight scenarios. This innovative approach addresses critical gaps in elderly care and home monitoring, bridging wireless sensing and robotic assistance. With his work appearing in top venues and demonstrating real-world applicability, Kang is establishing himself as a rising contributor to robust, autonomous robotic systems that operate safely and effectively in human environments.
Research Focus
Key Achievements
Top Papers
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- 2