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Naomi Gildert1, Alan G Millard1, Andrew Pomfret2

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Robots need better coordination for object manipulation tasks. This study reviews joint action in human-robot interaction and robot-robot interaction to improve cooperative manipulation.

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Area of Science:

  • Robotics
  • Human-Robot Interaction
  • Artificial Intelligence

Background:

  • Increasing use of robots in warehouses and manufacturing necessitates collaborative object manipulation.
  • Human joint action, involving implicit and explicit communication, provides a model for robotic coordination.
  • Current robotic systems lack adaptive integration of implicit and explicit communication for cooperative tasks.

Purpose of the Study:

  • To review existing research on joint action in human-robot interaction.
  • To analyze the state-of-the-art in robot-robot interaction for cooperative object manipulation.
  • To identify key mechanisms for enhancing robot collaboration with humans and other robots.

Main Methods:

  • Literature review of human-robot interaction and robot-robot interaction studies.
  • Analysis of existing robotic systems for cooperative object manipulation.
  • Identification of communication strategies in human joint action.

Main Results:

  • Human joint action effectively combines implicit and explicit communication for coordination.
  • Existing robot-robot interaction research provides a foundation for cooperative manipulation.
  • A gap exists in adaptive, task-dependent integration of communication methods in robotic systems.

Conclusions:

  • Developing robots capable of adaptive, integrated communication is crucial for effective collaboration.
  • Future robotic systems should leverage insights from human joint action for improved object manipulation.
  • Key mechanisms for enhanced robot-robot and human-robot collaboration in shared spaces need further development.