Papers
38
Total Citations
595
H-Index
16
About
Kaixian Ba is a prolific researcher whose work bridges advanced robotics, hydraulic control systems, and emerging wearable sensing technologies. Best known for his foundational contributions to impedance control in hydraulic drive units (HDUs) for legged robots, Ba has systematically advanced the field through a series of highly cited studies. His 2018 paper on force-based impedance control (49 citations) and subsequent 2020 work on nonlinear model-based variable impedance parameters (47 citations) established critical frameworks for achieving precise, adaptive motion control in hydraulically actuated robotic limbs. His 2022 contribution combining sliding mode control with modified linear extended state observers further refined these methods (40 citations), demonstrating a sustained trajectory of innovation. Beyond locomotion control, Ba has made notable strides in sensor calibration, kinematics correction, and lightweight hydraulic power unit design — achieving over 40% weight reduction through Sobol sensitivity analysis — directly enhancing practical robot deployability. More recently, his research has expanded into bioinspired wearable electronics, with self-powered fiber-based sensors and bionic neural perception devices (34 and 24 citations respectively) reflecting impressive interdisciplinary range. With over 310 cumulative citations across diverse technical domains, Ba represents a dynamic and impactful voice in both robotic systems engineering and next-generation sensing technologies.
Research Focus
Key Achievements
Top Papers
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- 8Overview of structure and drive for wheel-legged robots21 citations · 2024
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