TY - JOUR
T1 - A human-robot interaction perspective on assistive and rehabilitation robotics
AU - Beckerle, Philipp
AU - Salvietti, Gionata
AU - Unal, Ramazan
AU - Prattichizzo, Domenico
AU - Rossi, Simone
AU - Castellini, Claudio
AU - Hirche, Sandra
AU - Endo, Satoshi
AU - Ben Amor, Hani
AU - Ciocarlie, Matei
AU - Mastrogiovanni, Fulvio
AU - Argall, Brenna D.
AU - Bianchi, Matteo
N1 - Funding Information:
The HUMORARR 2016 workshop did not receive direct support. This work was partially supported by the EU H2020 funded project SoftPro (no. 688857), the ERC advanced grant SoftHands (no. 291166), and the DFG projects Users' Body Experience and Human-Machine Interfaces in (Assistive) Robotics (no. BE5729/3) and "TACT-HAND: improving control of prosthetic hands using tactile sensors and realistic machine learning" (no. CA 1389/1). The support by the German Research Foundation and the Open Access Publishing Fund of Technische Universitt Darmstadt, Germany, is acknowledged.
PY - 2017/5/23
Y1 - 2017/5/23
N2 - Assistive and rehabilitation devices are a promising and challenging field of recent robotics research. Motivated by societal needs such as aging populations, such devices can support motor functionality and subject training. The design, control, sensing, and assessment of the devices become more sophisticated due to a human in the loop. This paper gives a human-robot interaction perspective on current issues and opportunities in the field. On the topic of control and machine learning, approaches that support but do not distract subjects are reviewed. Options to provide sensory user feedback that are currently missing from robotic devices are outlined. Parallels between device acceptance and affective computing are made. Furthermore, requirements for functional assessment protocols that relate to real-world tasks are discussed. In all topic areas, the design of human-oriented frameworks and methods is dominated by challenges related to the close interaction between the human and robotic device. This paper discusses the aforementioned aspects in order to open up new perspectives for future robotic solutions.
AB - Assistive and rehabilitation devices are a promising and challenging field of recent robotics research. Motivated by societal needs such as aging populations, such devices can support motor functionality and subject training. The design, control, sensing, and assessment of the devices become more sophisticated due to a human in the loop. This paper gives a human-robot interaction perspective on current issues and opportunities in the field. On the topic of control and machine learning, approaches that support but do not distract subjects are reviewed. Options to provide sensory user feedback that are currently missing from robotic devices are outlined. Parallels between device acceptance and affective computing are made. Furthermore, requirements for functional assessment protocols that relate to real-world tasks are discussed. In all topic areas, the design of human-oriented frameworks and methods is dominated by challenges related to the close interaction between the human and robotic device. This paper discusses the aforementioned aspects in order to open up new perspectives for future robotic solutions.
KW - Affective computing
KW - Assistive and rehabilitation robotics
KW - Functional assessment
KW - Human-oriented design
KW - Human-robot interaction
KW - Learning and control
KW - Sensory feedback
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U2 - 10.3389/fnbot.2017.00024
DO - 10.3389/fnbot.2017.00024
M3 - Review article
AN - SCOPUS:85020066580
SN - 1662-5218
VL - 11
JO - Frontiers in Neurorobotics
JF - Frontiers in Neurorobotics
IS - MAY
M1 - 24
ER -