Abstract

One of the challenging aspects of robotics research is to successfully establish a human-like behavioural control strategy for human–robot handover, since a robotic controller is further complicated by the dynamic nature of the human response. This paper consequently highlights the development of an appropriate set of behaviour-based control for robot-to-human object handover by first understanding an equivalent human–human handover. The optimized hybrid position and impedance control was implemented to ensure good stability, adaptability and comfort of the robot in the object handover tasks. Moreover, a questionnaire technique was employed to gather information from the participants concerning their evaluations of the developed control system. The results demonstrate that the quantitative measurement of performance of the human-inspired control strategy can be considered acceptable for seamless human–robot handovers. This also provided significant satisfaction with the overall control performance in the robotic control system, in which the robot can dexterously pass the object to the receiver in a timely and natural manner without the risk of harm or injury by the robot. Furthermore, the survey responses were in agreement with the parallel test outcomes, demonstrating significant satisfaction with the overall performance of the robot–human interaction, as measured by an average rating of 4.20 on a five-point scale.

Highlights

  • Robots have been widely developed over the last decades to meet the requirements of improving human–robot interaction (HRI)

  • This paper contributes to the implementation of a human-like behavioural control strategy for seamless human–robot handovers (HRH)

  • The robotic conceptual framework was established by understanding the principle of human haptic interaction when two humans work together in a joint effort to complete an object handover task

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Summary

A Human-Inspired Control Strategy for Improving Seamless

Citation: Neranon, P.; Sutiphotinun, Abstract: One of the challenging aspects of robotics research is to successfully establish a humanlike behavioural control strategy for human–robot handover, since a robotic controller is further complicated by the dynamic nature of the human response. This paper consequently highlights the development of an appropriate set of behaviour-based control for robot-to-human object handover by first understanding an equivalent human–human handover. The optimized hybrid position and impedance control was implemented to ensure good stability, adaptability and comfort of the robot in the object handover tasks. Moreover, a questionnaire technique was employed to gather information from the participants concerning their evaluations of the developed control system. The results demonstrate that the quantitative measurement of performance of the human-inspired control strategy can be considered acceptable for seamless human–robot handovers. This also provided significant satisfaction with the overall control performance in the robotic control system, in which the robot can dexterously pass the object to the receiver in a timely and natural manner without the risk of harm or injury by the robot. Furthermore, the survey responses were in agreement with the parallel test outcomes, demonstrating significant satisfaction with the overall performance of the robot–human interaction, as measured by an average rating of 4.20 on a five-point scale. Robot-To-Human Handovers. Appl. Keywords: object handover; robot-to-human object handover; human–robot interaction; human– human interaction; hybrid position/force control; impedance control; human-like behavioural control Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Licensee MDPI, Basel, Switzerland. 4.0/).

Introduction
Background of Human-Human Handover Strategy
Toyota HSR Platform
Kinematic Model of the HSR
Coordinate
Reference
Robotic
Dynamic Mechanical Model of the Physical Human-Robot Handover d
H R x 3 h b k m
Safety in HHH
Results and Discussion
Optimization of the Robotic PID Position Control
Evaluation
Conclusions
Full Text
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