DaRWiN: Disturbance-robust Whole-body Navigation Planning for Shipboard Firefighting Humanoid Robots

Abstract

This project will focus on developing motion planning algorithms for humanoid robot firefighters that allow them to navigate complex environments and respond to disturbances. A shipboard firefighting robot will require the ability to autonomously traverse environments with complex geometry and respond to significant disturbance forces. For instance, the robot will need to pass through narrow corridors, open doors, climb and descend ladders and stairs, and navigate through clutter. The robot must also be able to operate despite significant disturbances arising from ocean waves. While compliant control at the low-level will allow robustness to small variations in geometry and small disturbances, accommodating complex geometry and large disturbances requires a unified approach to whole-body motion planning, navigation, and disturbance mitigation.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2016
Source ID
N000141512138

Entities

People

  • Dmitry Berenson

Organizations

  • Office of Naval Research
  • United States Navy
  • Worcester Polytechnic Institute

Tags

Readers

  • Fire Suppression Systems Design.
  • Robotics and Automation.

Technology Areas

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