Chikun Gong

University of Shanghai for Science and Technology

Papers

Total Citations

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About

Chikun Gong is a rising researcher in the field of intelligent robotics, with a focus on motion planning, control systems, and human-robot interaction. His work spans three critical areas: autonomous navigation for mobile robots, dynamic locomotion for quadruped robots, and gait recognition for lower-limb exoskeletons. Gong’s most cited paper (2022, 10 citations) introduces an improved ant colony algorithm that integrates global path planning with local obstacle avoidance in dynamic environments, significantly enhancing search efficiency and path optimization by generating a collar path to reduce early-stage blindness. In 2024, he proposed a composite motion control method for quadruped robots in trot gait, addressing instability and poor terrain adaptability through a novel force-position mixing control strategy during the support phase (7 citations). Most recently, Gong has advanced human-computer interaction by fusing surface electromyography (sEMG) and inertial measurement unit (IMU) signals with a depth residual contraction network for robust lower-limb exoskeleton gait recognition (2025, 1 citation). His contributions are steadily gaining recognition for bridging theoretical optimization with practical robotic applications, marking him as an emerging innovator in adaptive and assistive robotics.