User-Interactive Robot Skin With Large-Area Scalability for Safer and Natural Human-Robot Collaboration in Future TelehealthcareShow others and affiliations
2021 (English)In: IEEE journal of biomedical and health informatics, ISSN 2168-2194, E-ISSN 2168-2208, Vol. 25, no 12, p. 4276-4288Article in journal (Refereed) Published
Abstract [en]
With the fourth revolution of healthcare, i.e., Healthcare 4.0, collaborative robotics is spilling out from traditional manufacturing and will blend into human living or working environments to deliver care services, especially telehealthcare. Because of the frequent and seamless interaction between robots and care recipients, it poses several challenges that require careful consideration: 1) the ability of the human to collaborate with the robots in a natural manner; and 2) the safety of the human collaborating with the robot. In this regard, we have proposed a proximity sensing solution based on the self-capacitive technology to provide an extended sense of touch for collaborative robots, allowing approach and contact measurement to enhance safe and natural human-robot collaboration. The modular design of our solution enables it to scale up to form a large-area sensing system. The sensing solution is proposed to work in two operation modes: the interaction mode and the safety mode. In the interaction mode, utilizing the ability of the sensor to localize the point of action, gesture command is used for robot manipulation. In the safety mode, the sensor enables the robot to actively avoid obstacles.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. Vol. 25, no 12, p. 4276-4288
Keywords [en]
Robot sensing systems, Robots, Sensors, Safety, Skin, Collaboration, Electrodes, Collaborative robots, healthcare 4, 0, interactivity, robot skin, telehealthcare
National Category
Robotics and automation
Identifiers
URN: urn:nbn:se:kth:diva-306811DOI: 10.1109/JBHI.2021.3082563ISI: 000728140900009PubMedID: 34018941Scopus ID: 2-s2.0-85107190940OAI: oai:DiVA.org:kth-306811DiVA, id: diva2:1626183
Note
QC 20220110
2022-01-102022-01-102025-02-09Bibliographically approved