Mohan Li
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mohan Li is a leading researcher at the forefront of embodied artificial intelligence, with a primary focus on the robustness, security, and safety of autonomous systems. Their work critically addresses the vulnerabilities inherent in robots and autonomous vehicles as they integrate into real-world environments. Dr. Li’s major contributions include a comprehensive survey on the spectrum of threats facing embodied AI, from sensor spoofing and adversarial attacks to system-level exploits, providing a foundational taxonomy for the field. This pivotal work, "Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks" (2025), has already garnered early citations, signaling its immediate impact on shaping future research directions. By mapping the landscape of environmental and system-level vulnerabilities, Dr. Li is establishing the critical protocols needed to ensure the safe and trustworthy deployment of embodied AI technologies. Their research is essential reading for students and engineers working to build resilient autonomous systems that can operate securely in the unpredictable physical world.
Research Focus
Key Achievements
Top Papers
- 1