Papers
2
Total Citations
10
H-Index
2
About
Xindi Tang is a rising researcher at the intersection of robotics, artificial intelligence, and bio-inspired engineering. Their work primarily focuses on enhancing the trustworthiness and robustness of autonomous systems, particularly in human-robot interaction and complex environmental deployment. Tang’s most notable contribution, **“TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation”** (2024, 8 citations), pioneers a framework for integrating large language models (LLMs) into robot navigation while explicitly modeling and mitigating the uncertainty inherent in spoken human commands. This work addresses a critical gap in deploying LLMs for real-world tasks, ensuring safer and more reliable human-robot collaboration. Additionally, Tang has explored bio-inspired design with **“Design and Implementation of a Bionic Marine Iguana Robot for Military Micro-Sensor Deployment”** (2025, 2 citations), creating a highly maneuverable underwater robot modeled after the marine iguana for precise sensor placement in complex aquatic environments. This work demonstrates Tang’s versatility in applying biological principles to solve practical engineering challenges. With a growing citation record and a focus on bridging cutting-edge AI with real-world robotic systems, Xindi Tang is establishing themselves as a thoughtful innovator in trustworthy and adaptive robotics.
Research Focus
Key Achievements
Top Papers
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- 2