Attend the Macroscopic Ensemble Methods for Multi-robot Data Collection in Dynamic Environments seminar, Feb. 7

Join the School of Manufacturing Systems and Networks for the Macroscopic Ensemble Methods for Multi-robot Data Collection in Dynamic Environments seminar.

Abstract

Collecting data is essential for understanding dynamic environments like the ocean, but limited sensing resources make it challenging to gather measurements across large spatial and temporal scales. One solution is using robot teams equipped with sensors, but existing methods focus on individual robot plans, which work well for small teams in simple environments but struggle with larger teams and changing conditions. To address this, we use macroscopic ensemble modeling, a dynamical systems approach that scales to large, diverse robot teams. This seminar will present recent advancements incorporating collaboration and environmental feedback, enabling more effective data collection in dynamic environments.

About the speaker

Victoria Edwards is a doctoral candidate in mechanical engineering and applied mechanics at the University of Pennsylvania advised by Ani Hsieh. Her research focuses on integrating environmental and complex systems models to control multi-robot teams in dynamic environments. Previously, she conducted experimental verification of autonomous swarm systems as a Karle Fellow at the U.S. Naval Research Laboratory. She holds a master’s degree in robotics from the University of Michigan and a bachelor’s degree in computer science and mathematics from Colby College. Edwards is also a recipient of the National Defense Science and Engineering Graduate Fellowship.

Macroscopic Ensemble Methods for Multi-robot Data Collection in Dynamic Environments
Friday, Feb. 7, 2025
10:30 a.m.–noon
Peralta Hall (PRLTA) 130, Polytechnic campus [map]