Event
Future Leaders in Robotics and AI Seminar: Yewei Huang
Friday, March 28, 2025
2:30 p.m.-3:00 p.m.
https://go.umd.edu/FutureLeaders
Yancy Diaz-Mercado
301 405 6506
yancy@umd.edu
Data Efficient Localization and Mapping for Distributed Multi-Robot Teams in the Field
Yewei Huang
PhD Student
Stevens Institute of Technology
Abstract
Multi-robot systems are capable of performing a wide range of time-sensitive tasks. Simultaneous Localization and Mapping (SLAM) is a critical capability that enables robots to execute these tasks effectively. However, communication bandwidth often becomes a limiting factor in many multi-robot scenarios, particularly when deploying robots in the field. In this talk, I will present how I enhance the data efficiency of multi-robot SLAM systems for both ground and marine vehicles, enabling multi-robot teams to explore the field collaboratively. I will present DiSCo-SLAM, a distributed multi-robot SLAM system that utilizes a compact LiDAR descriptor and a two-stage global and local optimization approach, designed to address the challenges of SLAM in GPS-denied environments. The system is then evolved to integrate with current developments in Large Language Models (LLMs), resulting in a graph-matching-based distributed multi-robot scene graph SLAM framework that works in both indoor and outdoor environments. Furthermore, the algorithm is extended to marine applications, supporting multi-robot teams equipped with sonar for collaborative exploration in oceanic environments.
Biography
Yewei Huang is currently a final-year Ph.D. candidate in the Department of Mechanical Engineering at Stevens Institute of Technology. Yewei Huang received both a Bachelor’s Degree in Geographic Information Systems and a Master’s Degree in Surveying and Mapping from Tongji University. Her research interests include distributed multi-robot systems, marine robotics, and robot navigation and decision-making.
About the Seminar Series
The Maryland Robotics Center's Future Leaders in Robotics and AI Seminar Series at the University of Maryland is a nationwide online seminar series for PhD students, postdoctoral researchers, and early-career professionals. The seminar series highlights the latest research and innovation in the field of robotics and AI. The series is intended to provide exposure and mentorship opportunities to the speakers, build a network of innovators across the country, and support the speakers’ career planning.
The seminars are held on select dates during spring. There are two speakers per seminar. Each speaker gives a 20-minute research presentation followed by a Q&A segment. Immediately after the second seminar, the speakers participate in a discussion with faculty. For more information, please visit: https://robotics.umd.edu/FutureLeaders
