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Controlling a robot with intention derived from motion.

Christopher Crick1, Brian Scassellati

  • 1Department of Computer Science, Yale University.

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Summary
This summary is machine-generated.

This study introduces an affordable mobile robot system that learns human intentions in playground games. The robot observes, infers goals, and participates in games like tag and follow-the-leader.

Keywords:
Artificial intelligenceInteractive behaviorLearningRoboticsSocial cognition

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Human-Robot Interaction

Background:

  • Mobile robots often require pre-programmed knowledge of environments and tasks.
  • Understanding human intentions is crucial for seamless human-robot collaboration.
  • Existing systems may lack adaptability in dynamic social settings.

Purpose of the Study:

  • To develop an intention-based control system for a low-cost mobile robot.
  • To enable a robot to learn and infer human intentions in social play scenarios.
  • To allow the robot to actively participate in learned games.

Main Methods:

  • Utilizing an inexpensive webcam and radio-controlled toy vehicle for robot construction.
  • Analyzing human spatiotemporal activity to infer goals and intentions.
  • Building a narrative of intentional states to understand game dynamics.
  • Employing self-initiated behavior to probe uncertain situations and learn game rules.

Main Results:

  • The system successfully infers human intentions and goals in playground games.
  • The robot learns social roles and game rules from observation.
  • The system demonstrates appropriate participation in games such as chasing, follow-the-leader, and tag.
  • Constructed narratives capture essential social and activity information.

Conclusions:

  • An affordable, intention-based control system can learn complex social interactions.
  • The robot's ability to infer intentions allows for adaptive and appropriate game participation.
  • This approach offers a pathway for robots to engage more naturally in human social activities.