Fundamental Research in Coordinated Manipulation

Abstract

In this work, we propose novel fundamental research to enable cooperative robotic manipulation in challenging environments. To achie,ve this goal, we will focus on research areas in multi-arm coordination, reactive tactile sensing, and semantic decision support tha,t are currently lacking in the literature. We envision a system of multiple semi-autonomous manipulator arms capable of performing c,omplex manipulation tasks (e.g. hull cleaning, pier maintenance, and environmental sampling) in complex environments with poor visib,ility and high levels of sensing noise. The envisioned command and control (C2) station will accept high-level semantic language mis,sion descriptions and parameters that are decomposed into plays from which planners can develop commands to be executed using advanc,ed tactile sensors built in polymer materials. Such a system has the potential to improve the efficiency and flexibility of manipula,tion tasks, substantially reduce workload and training requirements, and enable the completion of tasks in environments where dexter,ous manipulation is not currently possible due to poor perception conditions and lack of qualified operators.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 14, 2022
Source ID
N000142212114

Entities

People

  • Geoffrey A. Hollinger

Organizations

  • Office of Naval Research
  • Oregon State University
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Facility/Structural Engineering.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction
  • Fully Networked C3
  • Fully Networked C3 - Command and Control