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Dezheng Hua is a leading researcher in soft robotics and intelligent medical systems, with key contributions spanning continuum robots, capsule endoscopy, and autonomous mining robotics. His most cited work introduces a novel soft continuum robot with kinematic modeling and closed-loop control, achieving 18 citations since 2025. Hua has significantly advanced medical capsule robot technology, developing a double-layer symmetric sensor array for precise magnetic positioning (13 citations) and authoring a comprehensive review of functional capsule robots covering locomotion, pose control, medical operations, and wireless power transmission from 2018–2023 (8 citations). His research also addresses critical challenges in complex geological drilling, analyzing how stratified formations affect drilling robot trajectories (12 citations). Notably, Hua has pioneered space mining robotics with precise motion control using an improved African vultures optimization algorithm (5 citations), and created a multimodal continuum robot leveraging Kresling origami’s three stable states for gas-driven movement (4 citations). His work in real-time path planning for drilling robots through sensor fusion (4 citations) and development of the MSGJO multi-strategy AI algorithm for mobile robot navigation (3 citations) demonstrate his broad impact across medical, space, and mining applications, with over 67 total citations establishing him as an influential figure in intelligent robotic systems.