BIFURCATION BASED ACTUATION FOR AUTONOMOUS, SMART STRUCTURES

Abstract

Nature provides many examples of systems that autonomously undergo morphological and functional changes in response to environmental stimuli or sequences of stimuli. These natural adaptive systems (e.g., plants) achieve their responsiveness via control logic that is embodied in the compositional (material) and structural (geometric) features of which they consist. In contrast, analogous behavior in synthetic systems (e.g., robotics) traditionally relies on an integrated mechatronic system of batteries, sensors, microprocessors, and actuators. Inspired by nature, we combine anisotropic stimuli responsive materials with geometric nonlinearity to design structures that precisely and sequentially self actuate in response to multiple stimuli.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 14, 2022
Source ID
FA95501910285

Entities

People

  • Jordan R. Raney

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Pennsylvania

Tags

Readers

  • Computer Vision.
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control