Xiaonan Sean Huangمشاهده پروفایل
استادیار
- Soft Robotics
- Tensegrity Robots
- Soft Materials
- +۷ مورد دیگر
Xiaonan (Sean) Huang is an Assistant Professor in the Department of Robotics at the University of Michigan, leading the Hybrid Dynamic Robotics Lab (HDR Lab). His research focuses on the design, control, and modeling of autonomous soft robots, particularly those employing tensegrity architectures and novel soft materials. Key areas include soft actuators, sensors, wearable devices, and integration of advanced control algorithms with SLAM and learning techniques. He emphasizes multifunctional materials and systems capable of operating in challenging environments. His lab, the HDR Lab, aims to revolutionize soft robotics through innovations in hardware and software, including shape-morphing actuators, stiffness-tunable materials, and onboard intelligence. Research spans robotics mobility, anomaly detection in vision systems, and collaborative 3D reconstruction. Notable projects include impact-resistant tensegrity robots and benchmarking frameworks for robust perception systems. Publications highlight advancements in tensegrity robotics, sensor fusion, and AI-driven design. While no awards are explicitly listed, his work is recognized through collaborations and high-impact journals/conferences. Advising and grant details are not provided in the text. Sean Huang’s lab fosters interdisciplinary innovation at the intersection of robotics, materials science, and AI, with applications in search-and-rescue, healthcare, and autonomous systems.







