This course aims to explore the challenges and considerations involved in robotic football. The learning outcomes include understanding modeling, non-fibrations, speed, information, sensing, and higher-dimensional concepts. The course teaches skills such as analyzing real polynomials, exploring topological complexity, and applying the vibration hypothesis. The teaching method involves discussing various issues related to robotic football without providing definitive solutions. The intended audience for this course includes individuals interested in robotics, mathematics, and theoretical concepts related to sports and automation.
Overview
Syllabus
Introduction
Outline
Steve Smail
Real polynomials
Topological complexity
Cost of flexibility
Topological football
Nonvibrations
Moving blockers
The vibration hypothesis
Hard balls
Softballs
DNA
Wrapup
Taught by
Applied Algebraic Topology Network