Papers
2
Total Citations
7
H-Index
2
About
Xiaojun Hei is a leading researcher at the intersection of cloud computing, robotics, and assistive technology, with a particular focus on humanoid robots for social good. His work pioneers the integration of cloud-enabled systems with robotic platforms to address pressing societal challenges. Notably, Hei’s 2022 study on designing a cloud-enabled humanoid robot application for assessing Applied Behavior Analysis (ABA) therapy in autistic children (5 citations) tackles critical gaps in autism care, including high costs and a shortage of trained therapists in China. His research demonstrates how digital therapeutic tools can democratize access to specialized interventions. More recently, Hei has advanced the field of deep reinforcement learning, as shown in his 2024 paper on sim-to-real transfer for a humanoid robot barista (2 citations), which addresses the robustness and accuracy challenges of deploying service robots in complex home environments. This work highlights his commitment to bridging simulation and real-world application, a key hurdle in robotics. Though his citation counts are early-stage, Hei’s contributions are notable for their direct societal impact and innovative use of cloud robotics to enhance human well-being, positioning him as a rising voice in accessible, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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