Papers
6
Total Citations
60
H-Index
5
About
Xiaosa Li is pioneering the integration of magnetic actuation, embodied intelligence, and tactile sensing to create the next generation of soft and legged robots. Their work on planar magnetic actuation (24 citations) has demonstrated how scalable electromagnet arrays can precisely manipulate micro-robots in confined spaces, with direct applications in medical interventional surgery and drug delivery. Li’s research on magnetic field–enhanced vertical integration (11 citations) pushes the boundaries of untethered soft robotics by enabling continuous environmental sensing and real-time control—key steps toward true embodied intelligence. With DeformNet (10 citations), Li introduced a novel latent space modeling approach for deformable object manipulation, addressing the challenge of infinite degrees of freedom in household environments. Their development of TacTID (8 citations) brings visuo-tactile sensor-based terrain identification to legged robots, inspired by the animal somatosensory system to improve locomotion. Li also created VibroBot (6 citations), a lightweight, wirelessly programmable haptic guidance system, and explored autonomous liquid metal droplets (1 citation) for self-propelled machines. Across these contributions, Li’s work consistently bridges fundamental physics, advanced sensing, and practical robotic systems, earning recognition for its potential to transform medical robotics, autonomous navigation, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 6Autonomous Liquid Metal Droplets Actuated by Ion Diffusion1 citations · 2025