Assessing a new Frequency Modulation architecture for artificial large area skin-like sensory array deployment in robotic platforms

Autor: Assaf, Tareq

Publikováno v: In Array December 2022 16

Versatile vacuum-powered artificial muscles through replaceable external reinforcements.

Autor: Mendoza, Mijafl Jaen, Cancan, Sergio, Surichaqui, Steve, Centeno, Esteban, Vilchez, Ricardo, Bertoldi, Katia, Vela, Emir A., Zhang, Hongying, Assaf, Tareq, Paterno, Linda

Publikováno v: Frontiers in Robotics & AI; 2024, p1-13, 13p

A multizone cerebellar chip for bioinspired adaptive robot control and sensorimotor processing:A multizone cerebellar chip for bioinspired adaptive robot control and sensorimotor processing

Autor: Wilson, Emma D, Assaf, Tareq, Rossiter, Jonathan M, Dean, Paul, Porrill, John, Anderson, Sean R, Pearson, Martin J

Publikováno v: Wilson, E D, Assaf, T, Rossiter, J M, Dean, P, Porrill, J, Anderson, S R & Pearson, M J 2021, ' A multizone cerebellar chip for bioinspired adaptive robot control and sensorimotor processing : A multizone cerebellar chip for bioinspired adaptive robot control and sensorimotor processing ', Journal of the Royal Society, Interface, vol. 18, no. 174, 20200750, pp. 1-16 . https://doi.org/10.1098/rsif.2020.0750

The cerebellum is a neural structure essential for learning, which is connected via multiple zones to many different regions of the brain, and is thought to improve human performance in a large range of sensory, motor and even cognitive processing ta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1378::e835ce3e63b5651ff10adb9d179ed6a1
https://purehost.bath.ac.uk/ws/files/218971202/Cerebellar_Multizones_submission.pdf

Seeing by Touch: Evaluation of a Soft Biologically-Inspired Artificial Fingertip in Real-Time Active Touch.

Autor: Assaf, Tareq¹ tareq.assaf@brl.ac.uk, Roke, Calum¹ calum.roke@brl.ac.uk, Rossiter, Jonathan¹ Jonathan.Rossiter@bristol.ac.uk, Pipe, Tony¹ Tony.Pipe@brl.ac.uk, Melhuish, Chris¹ Chris.Melhuish@brl.ac.uk

Publikováno v: Sensors (14248220). Feb2014, Vol. 14 Issue 2, p2561-2577. 17p.

Cerebellar-inspired algorithm for adaptive control of nonlinear dielectric elastomer-based artificial muscle

Autor: Wilson, Emma D., Assaf, Tareq, Pearson, Martin J., Rossiter, Jonathan M., Anderson, Sean R., Porrill, John, Dean, Paul

Publikováno v: Journal of the Royal Society Interface

Electroactive polymer actuators are important for soft robotics, but can be difficult to control because of compliance, creep and nonlinearities. Because biological control mechanisms have evolved to deal with such problems, we investigated whether a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::ce7885fb4346a76bbbeb0ca742befc76
http://europepmc.org/articles/PMC5046955