« TRIPODS/DATA-INSPIRE Workshop on Dynamics, Topology, and Robotic Control
May 13, 2021 - May 14, 2021
Location:
Online Event
Organizer(s):
Konstantin Mischaikow, Rutgers University
DATA-INSPIRE, an NSF TRIPODS Institute housed in DIMACS, is premised on the belief that advances in data science principles are needed to impact the emerging paradigm of intelligent machines and their convergence with human society. Part of this effort requires the development of theory and algorithms that can provide mathematically sound constraints to specific robotic systems in the context of noisy unpredictable environments. The workshop Dynamics, Topology, and Robotic Control will explore the use of topological concepts and techniques to identify robust dynamic features of these systems.
Video playlist of workshop presentations.
Thursday, May 13, 2021
Templates & Anchors for Hybrid Systems (with a little help from Conley)
Daniel Koditschek, University of Pennsylvania
Data Driven Dynamics
Konstantin Mischaikow, Rutgers University
William Kalies, Florida Atlantic University
Dynamics without Equations
Yuliy Baryshnikov, University of Illinois, Urbana-Champaign
Computing Dynamics via Combinatorial Methods
Marcio Gameiro, Rutgers University
Friday, May 14, 2021
Computing the Conley Index for Hybrid Dynamics
Matthew Kvalheim, University of Pennsylvania
Learning Global Dynamics from Data
Ewerton Rocha Vieira, Rutgers University
From `Editing' to `Programming' Vector Fields (with a little help from Conley)
Paul Gustafson, Wright State University
Date: May 13 - 14, 2021, 12:00 pm – 4:00 pm (Eastern Time)
Please note two different links for each day
Thursday, May 13: Zoom Link 12:00 pm – 4:00 pm (Eastern Time)
Friday, May 14 Zoom link 12:00 pm – 3:00 pm (Eastern Time)
Sponsored by the TRIPODS DATA-INSPIRE Institute, a joint collaboration of DIMACS and the Rutgers Departments of Computer Science, Mathematics, and Statistics (http://robotics.cs.rutgers.edu/data-inspire/)
Presented in association with the DATA-INSPIRE TRIPODS Institute.