Robotic Touch Parameter Co-Design for Physical Human-Robot Interaction
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Solution Overview
Problem
Existing human-robot interaction (HRI) research primarily relies on interview-based methods, lacking comprehensive integration of physical hardware and embodied interaction experiences, and participants are limited to the evaluation phase, failing to actively contribute to robotic touch behavior design and improvement.
Innovation Solution
A participatory co-design approach involving participants in both the design and evaluation phases through bodystorming, robotic parameter specification, iteration, and post-design touch execution, using a robotic arm with a hand to explore parameters like speed, force, and material for tasks such as wiping the arm and grooming the hair.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If interview-based methods are used for HRI research, then data collection is simple, but physical hardware integration and embodied interaction experiences are lacking
Solution Approach 1:
The patent combines interview-based data collection with physical hardware interaction and embodied experiences. Participants engage in both verbal interviews and physical interactions with robotic systems, merging qualitative and quantitative research methods to achieve comprehensive understanding of robotic touch parameters.
Solution Approach 2:
The patent introduces physical hardware and embodied interaction experiences as intermediaries between the researcher and the research subject. These intermediaries enable participants to experience and evaluate robotic touch parameters through direct physical interaction, bridging the gap between theoretical understanding and practical perception.
2Device complexity
If participants are limited to evaluation phase only, then research design is simple, but active contribution to robotic touch behavior design is lost
Solution Approach 1:
The patent transforms the static role of participants from passive evaluators to active co-designers. The research design dynamically adapts to allow participants to contribute throughout the design process, not just in the evaluation phase, enabling them to actively shape robotic touch behaviors based on their experiences and feedback.
Solution Approach 2:
The patent implements continuous feedback loops where participants provide input during design iterations. Their feedback from physical interactions and evaluations is systematically incorporated into subsequent design cycles, enabling active contribution to robotic touch behavior development and improvement.
3Measurement precision
If comprehensive physical interaction experiments are conducted, then understanding of robotic touch parameters is enhanced, but experimental complexity increases
Solution Approach 1:
The patent segments the comprehensive experimental process into distinct phases and components. Physical interaction experiments are divided into controlled tasks evaluating specific touch parameters, allowing systematic investigation of individual factors while maintaining overall experimental rigor and manageability.
Solution Approach 2:
The patent systematically varies robotic touch parameters (force, speed, duration, location) in controlled experiments. By changing individual parameters while holding others constant, the research achieves precise measurement of each parameter's effect on human perception without requiring overly complex experimental setups.
Data Source
AI summary
A method for determining robotic touch parameters through participatory experiments of physical human-robot interactions is provided. The method may select different robotic parameters for performing different robotic touch tasks by a participant. The method may experience each robotic touch task with the different robotic parameters selected by the participant for a first time. The method may evaluate each robotic touch task with the different robotic parameters selected by the participant. The method may update the different robotic parameters for performing the different robotic touch tasks by the participant.