Papers
3
Total Citations
86
H-Index
2
About
Qi Kong’s research lies at the dynamic intersection of robotics, autonomous systems, and intelligent sensing technologies. His most impactful work addresses the formidable challenge of time-optimal multi-vehicle trajectory planning for nonholonomic robots in highly constrained environments. In his 2021 paper, cited 65 times, Kong introduced an adaptive-scaling constrained optimization method that enables multiple car-like robots to navigate narrow, obstacle-cluttered indoor spaces with unprecedented efficiency—a critical advance for warehouse logistics and swarm robotics. Beyond motion planning, Kong has pioneered wearable and robotic sensory systems. His 2025 work on a 3D-printed flexible tactile triboelectric sensor, already garnering 20 citations, enables material perception through touch, while his self-encapsulated fiber sensor integrates seamlessly into rescue robots for real-time environmental data collection. By bridging theoretical optimization with practical sensor design, Kong is shaping the future of autonomous navigation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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