Max Robotics — Global Service Robot Directory + US Certification

About

Jiawang Li is a leading researcher in intelligent robotics and autonomous systems, with a primary focus on the control, safety, and perception of robotic platforms. His most impactful work addresses the fundamental challenge of simultaneously achieving tracking and stabilization for nonholonomic mobile robots under real-world constraints. His 2018 paper on robust neural network–based control, which has garnered 44 citations, introduced a novel error-state transformation scheme to handle input saturation, parametric uncertainties, and external disturbances—a critical step toward practical deployment. Li further advanced this area with his 2021 work (26 citations), developing a saturated time-varying controller that unifies tracking and stabilization for robots with input constraints. Extending his expertise to human-robot interaction, Li proposed an effective collision detection algorithm for six-DOF serial robots (17 citations), integrating a continuous friction model to enhance safety in force/position hybrid control. More recently, he has pioneered autonomous trajectory planning for ultrasound-guided tumor tracking (15 citations), fusing 2D image segmentation with point cloud processing to enable real-time, precise localization of suspicious breast tumors. His work on central pattern generator–based gait control for quadruped robots and breast ultrasound region segmentation further demonstrates his versatility in bridging control theory, perception, and medical robotics.