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Helping People Through Space and Time: Assistance as a Perspective on Human-Robot Interaction
Benjamin A Newman1, Reuben M Aronson1, Kris Kitani1
1Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, United States.
Frontiers in Robotics and AI
|February 14, 2022
Summary
This study introduces a unified definition and framework for assistive robotics to compare diverse research. It proposes three design axes to generalize assistance strategies across various domains for better cross-domain theorizing.
Area of Science:
- Robotics
- Human-Computer Interaction
- Artificial Intelligence
Background:
- Assistive robotics has expanded across numerous task domains.
- Comparing diverse assistive strategies is challenging due to domain fragmentation.
Purpose of the Study:
- To unify disparate assistive robotics domains into a general theory of assistance.
- To define assistance from a robot-centric perspective subordinate to user goals.
- To identify and examine key design axes for generalized assistance.
Main Methods:
- Defined a perspective for understanding assistive robots subordinate to user goals.
- Surveyed existing assistive robotics research.
- Identified three key design axes: interaction with others, action space variability, and action timing relative to users.
Main Results:
- Proposed a definition of assistance focusing on robot control and user goals.
- Identified comparable trade-offs across domains for the three design axes.
- Demonstrated how a broader perspective facilitates cross-domain theorizing in assistance.
Conclusions:
- The proposed framework and design axes offer tools for unifying assistive robotics research.
- Examining assistance holistically enables more generalized cross-domain theorizing.
- This approach aids in developing more effective and adaptable assistive robotic systems.
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