Novel Robotic Controls

Abstract

This effort establishes the scientific framework and approaches to enable low cognitive reflexive components for robotic platform development to include the interdependencies of actuation, sensing, perception, and low cognition controls for greater resilience, efficiency, and agility. Research will focus on highly adaptive and reflexive platform components with multiple degrees of freedom capable of interacting (trip, fall, impact) with the environment without catastrophic consequences.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2025
Source ID
bcee1c6c28ae7433ecad21a74edd270c

Tags

Fields of Study

  • Psychology

Readers

  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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

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