Max Robotics — Global Service Robot Directory + US Certification

About

Xiangmin Xu is a multidisciplinary researcher whose work bridges affective computing, human-robot interaction, and sensor technologies. Most prominently recognized for advancing EEG-based emotion recognition, Xu's 2019 paper introducing the SAE+LSTM framework demonstrated a powerful approach to decoding emotional states from multi-channel brain signals — work that has garnered an impressive 268 citations and holds significant implications for developing emotionally intelligent, brain-inspired robotic systems. This contribution established Xu as a notable voice in the intersection of neuroscience and artificial intelligence. Beyond affective computing, Xu has expanded into the emerging field of human-robot proxemics, exploring how humans and robots — including quadruped platforms like Boston Dynamics' Spot — navigate shared physical and social spaces. The HARPER dataset represents a particularly innovative contribution, offering a robot-centric perspective on 3D human pose estimation and forecasting during dyadic interactions. Xu has also contributed to hardware development, with recent work on high-resolution, low-cost flexible tactile sensor arrays pointing toward real-world robotic embodiment. Together, these research threads reflect a cohesive vision: building robots that can sense, understand, and naturally coexist with humans across diverse environments.