UPenn Multi-Robot Unmanned Vehicle System (MAGIC)

Abstract

In this report, we describe the technical approach and algorithms that have been used by the University of Pennsylvania for multi-robot perception, planning, and control in the context of the MAGIC competition and in ensuing years. We have constructed and deployed a multi-vehicle robot team, consisting of intelligent sensor and disrupter UGVs that can survey, map, recognize, and respond to threats in a dynamic urban environment with minimal human guidance. The custom hardware systems consist of robust and complementary sensors, integrated electronics, computation, and highly capable propulsion and actuation. The mapping, navigation, and planning software is organized hierarchically, allowing autonomous decisions to be made by the robots while enabling human operators to interact with the robot team in an efficient and strategic manner. The ground control station integrates information coming from the robots as well as metadata feeds to focus the attention of the operators and respond rapidly to emerging threats.

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Document Details

Document Type
Technical Report
Publication Date
May 05, 2014
Accession Number
ADA599881

Entities

People

  • Daniel D. Lee

Organizations

  • University of Pennsylvania

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Autonomous Navigation
  • Cognitive Science
  • Computer Vision
  • Control Systems
  • Detectors
  • Ground Control Stations
  • Guidance
  • Inertial Measurement Units
  • Information Processing
  • Measurement
  • Navigation
  • Robot Mapping
  • Robots
  • Three Dimensional
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

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  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Microelectronics
  • Microelectronics - Microelectromechanical Systems