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About

Fucheng Cao is a robotics researcher specializing in rehabilitation and medical assistive technologies, with a focus on lower limb exoskeletons and robotic control systems. His work centers on adaptive sliding mode control and impedance control strategies for gait rehabilitation robots, designed to help patients with neurological injuries, spinal cord injuries, or walking disabilities regain mobility. His most cited paper (2013, 10 citations) introduces an adaptive sliding mode impedance control approach that simultaneously regulates position and contact force in lower limb rehabilitation robots, with proven system stability. A related study (2015, 9 citations) extends this work to robust adaptive control for lower extremity exoskeletons, supporting neural pathway relearning. Cao also developed a low-cost, highly integrated control system for stroke patient rehabilitation (2017, 3 citations), using a TMS320F28335 DSP with a DSP/BIOS embedded operating system. His research portfolio includes fuzzy adaptive PID control for mobile assistive robots (2014, 2 citations) and trajectory planning using cubature Kalman filters (2012, 2 citations). More recently, he has explored MRI-guided breast puncture robotics (2023, 2 citations), designing a hybrid serial-parallel mechanism with five degrees of freedom. Cao’s contributions bridge control theory and practical rehabilitation engineering, advancing assistive robotics for clinical applications.