Prof. YIN Max (殷鵬)

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.

殷鹏
香港城市大学助理教授
IEEE Member

殷鹏博士是香港城市大学的助理教授，他在机器人与自主系统领域有着卓越的研究背景。他获得了中国科学院沈阳自动化研究所的博士学位，并曾在卡内基梅隆大学（CMU）机器人研究所担任项目科学家以及NASA火星登陆项目的高级顾问。

主要研究领域与贡献

殷鹏博士一直处于定位与导航研究的前沿，为多个重要项目做出了重大贡献：

1. CMU DARPA地下机器人挑战赛 (SubT)
   - 角色：定位建模负责人
   - 成就：2019年冠军团队成员

2. NASA 无人机长航程定位
   - 角色：长航程定位负责人

3. CMU Bosch 室内3D重构项目
   - 角色：项目负责人

4. NVIDIA 地图众包项目
   - 角色：项目负责人

殷博士在多个顶级会议和期刊上发表了大量论文，包括IROS, ICRA, RSS, RAL, IEEE T-RO, IEEE TIE, 和IEEE TITS。其中，他以第一作者身份在著名的IEEE《机器人学汇刊》(IEEE T-RO)上发表了三篇论文。

MetaSLAM项目

在殷博士的领导下，MetaSLAM项目汇集了六年来在现场机器人学领域的研究成果，致力于推动大规模多机器人系统在定位、建模、感知和决策方面的进步。

行业合作与应用

从2017年到2022年，殷博士的研究成果在无人驾驶领域产生了重大影响，与国内领先公司在矿区无人驾驶、城市众包地图和车路协同系统等方面展开了深入合作。他研发的地图自动拼接技术已在中美两国的相关无人驾驶应用中得到广泛应用。

盖尔实验室 (GAIRLAB) 

自2023年以来，殷博士一直领导着香港城市大学的盖尔实验室（GAIRLAB）。在他的指导下，实验室在通用机器人领域不断迭代，设计并开发了一套适用于复杂室内外环境交互的通用机器人软硬件架构。这些努力得到了多个重点项目的支持，使实验室成为机器人领域的领军机构。

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