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Unifying bilateral teleoperation and tele-impedance for enhanced user experience

TitleUnifying bilateral teleoperation and tele-impedance for enhanced user experience
Publication TypeJournal Article
Year of Publication2019
AuthorsLaghi, M, Ajoudani, A, Catalano, MG, Bicchi, A
JournalInternational Journal of Robotics Research
Date Published12/2019
Type of ArticleJournal
Keywordsbilateral, stability, Teleoperation, transparency, usability
Abstract

Usability is one of the most important aspects of teleoperation. Ideally, the operator’s experience should be one of complete command over the remote environment, but also be as close as possible to what s/he would have if physically present at the remote end - i.e. transparency in terms of both action and perception. These two aspects may coincide in favorable conditions, where classic approaches such as the four-channel architecture ensures transparency of the control framework. In presence of substantial delays between the user and the slave, however, the stability-performance trade-off inherent to bilateral teleoperation deteriorates not only transparency, but also command. An alternative, unilateral approach is given by tele-impedance, which controls the slave-environment interaction by measuring and remotely replicating the user’s limb endpoint position and impedance. Not including force feedback to the operator, tele-impedance is absolutely robust to delays, while it completely lacks transparency.

This paper introduces a novel control framework which integrates a new, fully transparent, two-channel bilateral architecture with the tele-impedance paradigm. The result is a unified solution that mitigates problems of classical approaches, and provides the user with additional tools to modulate the slave robot’s physical interaction behavior, resulting in a better operator experience in spite of time inconsistencies. The validity and effectiveness of the proposed solution is demonstrated in terms of performance in the interaction tasks, of user fatigue and overall experience.

URLhttps://journals.sagepub.com/doi/10.1177/0278364919891773
DOI10.1177/0278364919891773

An Objective Functional Evaluation of Myoelectrically-Controlled Hand Prostheses: A Pilot Study Using the Virtual Peg Insertion Test

TitleAn Objective Functional Evaluation of Myoelectrically-Controlled Hand Prostheses: A Pilot Study Using the Virtual Peg Insertion Test
Publication TypeConference Paper
Year of Publication2019
Conference NameIEEE International Conference on Rehabilitation Robotics (ICORR)
AuthorsKanzler, CM, Catalano, MG, Piazza, C, Bicchi, A, Gassert, R, Lambercy, O
DOI10.1109/ICORR.2019.8779550

Comparison of Three Hand Pose Reconstruction Algorithms Using Inertial and Magnetic Measurement Units

TitleComparison of Three Hand Pose Reconstruction Algorithms Using Inertial and Magnetic Measurement Units
Publication TypeConference Paper
Year of Publication2019
Conference Name18th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2018
AuthorsKieliba, PJ, Veltink, PH, T. Baldi, L, Pratichizzo, D, Santaera, G, Bicchi, A, Bianchi, M, Van Beijnum, BJF
URLhttps://ieeexplore.ieee.org/document/8624929
DOI10.1109/HUMANOIDS.2018.8624929

Deconfliction of Motion Paths With Traffic Inspired Rules

TitleDeconfliction of Motion Paths With Traffic Inspired Rules
Publication TypeJournal Article
Year of Publication2019
AuthorsCeli, F, Wang, L, Pallottino, L, Egerstedt, M
JournalIEEE Robotics and Automation Letters
Volume4
Pagination2227-2234
Date PublishedApril
ISSN2377-3766
KeywordsAutomobiles, Autonomous Vehicles, Collision Avoidance, multi-robot systems, Navigation, Physical Human-Robot Interaction, Roads, Robots, Safety
DOI10.1109/LRA.2019.2899932

Assessment of muscle fatigue during isometric contraction using autonomic nervous system correlates

TitleAssessment of muscle fatigue during isometric contraction using autonomic nervous system correlates
Publication TypeJournal Article
Year of Publication2019
AuthorsGreco, A, Valenza, G, Bicchi, A, Bianchi, M, Scilingo, EP
JournalBiomedical Signal Processing and Control
Volume51
Start Page42
Date Published05/2019
URLhttps://www.sciencedirect.com/science/article/pii/S1746809419300436
DOI10.1016/j.bspc.2019.02.007

Relaying the High-Frequency Contents of TactileFeedback to Robotic Prosthesis Users: Design,Filtering, Implementation, and Validation

TitleRelaying the High-Frequency Contents of TactileFeedback to Robotic Prosthesis Users: Design,Filtering, Implementation, and Validation
Publication TypeJournal Article
Year of Publication2019
AuthorsFani, S, Di Blasio, K, Bianchi, M, Catalano, MG, Grioli, G, Bicchi, A
JournalIEEE Robotics and Automation Letters
VolumeVolume: 4 , Issue: 2 , April 2019
Date Published01/2019

Learning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands

TitleLearning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands
Publication TypeJournal Article
Year of Publication2019
AuthorsSantina, CD, Arapi, V, Averta, G, Damiani, F, Fiore, G, Settimi, A, Catalano, MG, Bacciu, D, Bicchi, A, Bianchi, M
JournalIEEE Robotics and Automation Letters
Volume4
Pagination1533-1540
Date PublishedApril
ISSN2377-3766
KeywordsComputer architecture, Control, Deep Learning in Robotics and Automation, Grasping, Learning for Soft Robots, Modeling, Natural Machine Motion, Neural networks, Robot sensing systems, Uncertainty, Videos
DOI10.1109/LRA.2019.2896485