Networks of Autonomous Unmanned Vehicles Prof. Schwartz Presentation to Frontline Robotics May 8, 2008

Research and Development Areas Autonomous Robot Construction. Cooperating Mobile Autonomous Robots. Vision Systems. Robot Flocking and Swarming Robot swarms that adapt and learn (game theory and evolution). Robot teams and learning.

Autonomous Vehicles Built from low cost robot kit. HandyBoard HC11 controller Bluetooth communication channel. Sonar sensor. Able to control over internet. On board navigation control.

Robotic Tracking Activmedia PeopleBot Robot 2 DOF camera Optical flow-based target detection and verification Target’s motion is estimated using a particle filter Laser rangefinder It is used to determine distance between robot and target

Robotic Boat developed by 4th-year students The boat can be controlled over a wireless network User with a PC and a web browser can control the boat from anywhere The web server is placed on the on-board microcontroller, which has not be done before by others

Robots leaving a room using game theory

Modelling Robots leaving a room Player B Walk Wait Player A -1 X

Cooperative robots and intelligence Robots have own control and navigation algorithms Robots only know their position and others

Video Processing and Understanding Tracking of video objects

Intelligent Video Object Tracking Tracking, counting and timing of video objects.

Networks of Robots and Sensor Swarms

Vehicles Playing the Evader – Pursuit Game Research Topics Vehicles Learn Each Others Dynamics. Vehicles Adapt Behaviour. Coalition and Team Formation

Robots avoiding obstacles and following each other

Multiple Robots

Swarm Intelligence and Personality Evolution Game Theory, Coalition formation. Evolutionary Game Theory. Learning (fuzzy, adaptive, genetic). Personality Traits.

This is a smart robot

Conclusion Capability in Building Autonomous Vehicles Autonomous Vehicle Control Swarming Evader/Pursuer Learning and Adapting Networks Robots leaving a room adapting personalities