Papers
6
Total Citations
140
H-Index
3
About
Xi Zheng is a multidisciplinary researcher whose work spans robotics, computer vision, smart contracts, and edge computing, with particular strength at the intersection of artificial intelligence and real-world autonomous systems. His most influential contribution, "Unsupervised-Learning-Based Continuous Depth and Motion Estimation With Monocular Endoscopy for Virtual Reality Minimally Invasive Surgery" (2020, 95 citations), advances the frontier of surgical robotics by enabling immersive 3D visualization in systems like the Da Vinci robot — a breakthrough with meaningful clinical implications. Beyond medical robotics, Zheng has addressed security vulnerabilities in multi-agent robotic systems through blockchain and smart contract frameworks, most notably with SolGuard (2021, 34 citations), which tackles external call exploits in decentralized robotic architectures. His earlier work on Quasi Monte Carlo localization demonstrates a longstanding interest in mobile robot navigation, while his research on edge robotics for COVID-19 monitoring reflects an ability to pivot toward urgent societal challenges. Across his career, Zheng has consistently bridged theoretical innovation with practical deployment, making him a notable contributor to the evolving landscape of intelligent, secure, and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
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- 3The Role of Edge Robotics As-a-Service in Monitoring COVID-19 Infection4 citations · 2020
- 4Quasi Monte Carlo localization for mobile robots3 citations · 2012
- 5Prototyping of Fully Autonomous Indoor Patrolling Mobile Robots2 citations · 2012
- 6