Dynamic Mobility via Cellular Decompositions of Coordination Spaces

Abstract

To accomplish feats of rapid, nimble locomotion, the ground mobile robots of tomorrow must exhibit great dexterity and dynamic mobility. As their complexity increases, however, the need for principled approaches to coordinating a robot's actuators becomes apparent. We have begun to pursue a new formalism for solving such problems, making use of Algebraic Topology and classical group theory to replace traditional methods of combinatorial search and optimization with a computationally easier and conceptually more straightforward approach that identifies and exploits symmetries in a system. In our approach, we decompose a system into cells that index symmetric configurations. For a multilegged robot negotiating its way through a rubble-strewn terrain, the robot must choose between a number of alternative ways to move its legs. We reduce this problem to changes on a much simpler space of gait timing, using a cell complex to identify all possible gaits, discretizing the space while also providing a roadmap for gait transitions. By studying these representations---and the cellular decompositions that arise---we develop novel approaches to the fundamental control problems necessary for achieving robotic mobility.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA583274

Entities

People

  • Galen C. Haynes
  • Tony Stentz

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Agreements
  • Algebraic Topology
  • Algorithms
  • Anatomy
  • Computer Programs
  • Control Systems
  • Engineering
  • Equations
  • Equations Of Motion
  • Law
  • Military Research
  • Open Source Software
  • Physiology
  • Simulations
  • Students
  • Topology
  • Unmanned Systems

Fields of Study

  • Computer science

Readers

  • Calculus or Mathematical Analysis
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Space
  • Space - Spacecraft Maneuvers