ORCID iD: 0000-0001-8398-0988
Scopus Author ID: 57125520800
Google Scholar Profile: _q-aMvgAAAAJ

Metrics for Academic and Research Impact

Peng Yin
Assistant Professor, City University of Hong Kong
IEEE Member

Dr. Peng Yin is an accomplished researcher and assistant professor at City University of Hong Kong, with a distinguished background in robotics and autonomous systems. He earned his Ph.D. from the Shenyang Institute of Automation, Chinese Academy of Sciences, and has held notable positions including Project Scientist at the Robotics Institute of Carnegie Mellon University (CMU) and Senior Advisor for NASA's Mars Landing Project.

Key Research Areas and Contributions

Dr. Yin has been at the forefront of pioneering research in positioning and navigation, with significant contributions to several high-profile projects:

1. CMU DARPA Subterranean Challenge (SubT)
   - Role: Lead for Localization Modeling
   - Achievement: Part of the championship-winning team in 2019

2. NASA Long-Range UAV Positioning
   - Role: Lead for Long-Range Positioning

3. CMU Bosch Indoor 3D Reconstruction Project
   - Role: Project Lead

4. NVIDIA Crowdsourced Mapping Project
   - Role: Project Lead

Dr. Yin has published extensively in top-tier conferences and journals, including IROS, ICRA, RSS, RAL, IEEE T-RO, IEEE TIE, and IEEE TITS. Notably, he has authored three first-author papers in the prestigious IEEE Transactions on Robotics (IEEE T-RO).

MetaSLAM Project

Under Dr. Yin's leadership, the MetaSLAM project has amalgamated six years of research in the field of Field Robotics. The project aims to advance large-scale multi-robot systems in localization, modeling, perception, and decision-making.

Industry Collaborations and Applications

From 2017 to 2022, Dr. Yin's research significantly impacted the autonomous driving industry, with collaborations on unmanned mining, urban crowdsourced mapping, and vehicle-to-everything (V2X) systems with leading Chinese companies. His innovative work on collaborative map stitching has been implemented in both the U.S. and China for various autonomous driving applications.

GAIRLAB Leadership

Since 2023, Dr. Yin has been leading the GAIRLAB (General Autonomous Intelligent Robotics Laboratory) at City University of Hong Kong. Under his guidance, the lab has been iterating in the domain of general-purpose robotics, developing a comprehensive hardware and software architecture for complex indoor and outdoor environments. The lab's efforts have garnered support from several key projects, cementing its position as a leader in the field of robotics.

Dr. Yin's expertise and contributions continue to drive advancements in robotics, positioning, and navigation, making significant impacts both in academia and industry.

• Field Robotics
• SLAM
• Planning
• Multi-Agent System
• Reinforcement Learning
• Embodied AI