Max Robotics — Global Service Robot Directory + US Certification

About

Zixuan Zhao is an interdisciplinary researcher working at the intersection of machine learning, surgical robotics, and neuromorphic computing. Their work spans two compelling frontiers: advancing artificial intelligence for robot-assisted minimally invasive surgery, and developing next-generation stretchable electronics for edge computing applications. In the surgical domain, Zhao has contributed to modeling sparse surgical kinematics using recurrent and spiking neural networks, helping transform subjective surgical performance into quantifiable, machine-interpretable motion sequences — a critical step toward automated skill assessment and procedure optimization. Their involvement in Intuitive Surgical's SurgToolLoc and SurgVU Challenges (2023) further reflects their engagement with community-driven benchmarks that push the boundaries of surgical data science. Beyond the operating room, Zhao's 2024 work on large-scale stretchable neuromorphic circuits demonstrates a broader vision for on-body edge processing, enabling multi-modal sensory data collection across human and robotic platforms with remarkable spatiotemporal fidelity. With citations accumulating across both hardware and software domains, Zhao represents an emerging researcher whose contributions bridge embodied intelligence and clinical innovation — making their work increasingly relevant to students in biomedical engineering, robotics, and neuromorphic systems alike.