Human Acceptance As Part of the Soft Robot Design

Human Acceptance As Part of the Soft Robot Design

van Adrichem, R.C. (Student TU Delft)
Jovanova, J. (TU Delft Transport Engineering and Logistics)

2021

As machines and robots become a increasingly larger part of society, it is important that they are fully accepted. If the machines are not utilized as intended, it is not only a waste of time and energy, but also of valuable resources. This acceptance by humans of robots is based on how well the interaction with robots is trusted. Trust of robots can be based on three approaches: physical safety, operational understanding, and the social aspect of training. It is important to also consider these aspects when designing machines that will interact with humans, since acceptance by the people is key for the correct utilization of the machines. A possible approach to solve the issues around trust are soft robots. These machines are adaptable to a situation by either a physical flexibility or a digital anticipation due to sensing and control. This adaptiveness to humans in different ways makes Soft Robotics easier to accept then regular rigid machines. With their reduced or prevented effect if collided with humans they are safer. Because of the reduced operational complexity and digital simulations they are therefore easier to understand. Training becomes also easier as operator can experience the flexible nature of soft material themselves as well have augmented reality or virtual reality to assist them in training and operating. All these benefits of Soft Robotics will eventually lead to better acceptance of robots and should therefore be taken into account when designing robots to enable a flourishing automatized society.

Design
Robots
Machinery
Robotics
Augmented reality
Computer simulation
Safety
Virtual reality

http://resolver.tudelft.nl/uuid:9ff8716a-6a6e-4480-893c-a69ef1d9fb0e

https://doi.org/10.1115/SMASIS2021-68268

ASME

2022-04-20

978-0-7918-8549-9

Proceedings of ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2021

ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2021, 2021-09-14 → 2021-09-15, Virtual, Online

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2021 R.C. van Adrichem, J. Jovanova