Topological Reconfiguration Planning for a Variable Topology Truss

Abstract

This paper introduces a new class of self-reconfigurable robot: the variable topology truss (VTT), which is an extension of an existing class of robots: the variable geometry truss (VGT). Variable topology trusses have the additional capability to change the topology of the truss through self-reconfiguration by merging and splitting the nodes of the truss. We first introduce a hardware platform that enables this reconfigurability. We give a procedure to compute all possible distinct reconfiguration actions for a given robot topology. We show that 18 members are required for a minimal reconfigurable VTT, and we exhaustively enumerate all possible reconfigurable topologies for VTTs up to 29 members. Lastly, we introduce the topology network, which describes the relationship between these reconfigurable topologies. The topology network concept enables some high-level planning and provides insights into the design of truss topologies.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 09, 2021
Source ID
10.1115/1.4050530

Entities

People

  • Alexander Spinos
  • Devin Carroll
  • Mark Yim
  • Terry Kientz

Organizations

  • Air Force Office of Scientific Research
  • Ministry of Trade, Industry and Energy
  • University of Pennsylvania

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Neural Network Machine Learning.
  • Neurodegenerative Parkinson's Disease and Rickettsial Disease handbook, including the data level of dopamine, BC, neurons, and PD.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control