Publication
Investigating neural resource allocation in the sensorimotor control of extra limbs
Related publications (45)
Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform
Daniel Peppicelli, Marc-Oliver Gewaltig, Luc Guyot, Egidio Falotico, Lorenzo Vannucci, Axel von Arnim, Paul Levi, Georg Hinkel, Stefan Ulbrich, Eduardo Ros, Alessandro Ambrosano, Nino Cauli, Patrick Van Der Smagt, Oliver Denninger, Ugo Albanese, Murat Kirtay, Stefan Deser, Sandro Weber, Patrick Maier, Igor Peric
Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensor ...
2017EMG-based decoding of grasp gestures in reaching-to-grasping motions
Aude Billard, Silvestro Micera, Elvira Pirondini, Sahar El Khoury, Martina Coscia, Iason Batzianoulis
Predicting the grasping function during reach-to-grasp motions is essential for controlling a prosthetic hand or a robotic assistive device. An early accurate prediction increases the usability and the comfort of a prosthetic device. This work proposes an ...
Elsevier2017Apparatus and method for restoring voluntary control of locomotion in neuromotor impairments
Silvestro Micera, Grégoire Courtine, Joachim von Zitzewitz
It is disclosed an apparatus for restoring voluntary control of locomotion in a subject suffering from a neuromotor impairment comprising a multidirectional trunk support system and a device for epidural electrical stimulation. The robotic interface is cap ...
2016A lower limb exoskeleton research platform to investigate human-robot interaction
Designing the underlying mechanical structure of lower limb exoskeletons for assistance and rehabilitation is a demanding task that requires a good understanding of the interaction that takes place between the exoskeleton and the human user wearing it. Oft ...
IEEE2015Human-Robot Interaction: Tackling the AI Challenges
Human-Robot interaction is an area full of challenges for artificial intelligence: dynamic, partially unknown environments that are not originally designed for autonomous machines; a large variety of situations and objects to deal with, with possibly compl ...
2014Learning Compliant Manipulation through Kinesthetic and Tactile Human-Robot Interaction
Aude Billard, Klas Jonas Alfred Kronander
Robot Learning from Demonstration (RLfD) has been identified as a key element for making robots useful in daily lives. A wide range of techniques has been proposed for deriving a task model from a set of demonstrations of the task. Most previous works use ...
Ieee Computer Soc2014Data fusion for a hand prosthesis tactile feedback system
Christian Enz, Huaiqi Huang, Tao Li, Jörn Justiz, Ozan Unsal
Current myoelectrically controlled hand prostheses normally lack tactile feedback, thus limiting their functionalities and user acceptance. We propose a non-invasive tactile sensory feedback system, consisting miniaturized sensors, wireless communication m ...
IEEE2014Shared control of a robot using EEG-based feedback signals
In the last years there has been an increasing interest on using human feedback during robot operation to incorporate non-expert human expertise while learning complex tasks. Most work has considered reinforcement learning frameworks were human feedback, p ...
2013A Hybrid BCI for Enhanced Control of a Telepresence Robot
José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Luca Tonin, Tom Edward Carlson
Motor-disabled end users have successfully driven a telepresence robot in a complex environment using a Brain-Computer Interface (BCI). However, to facilitate the interaction aspect that underpins the notion of telepresence, users must be able to voluntari ...
2013Twitching in Sensorimotor Development from Sleeping Rats to Robots
It is still not known how the ‘rudimentary’ movements of fetuses and infants are transformed into the coordinated, flexible and adaptive movements of adults. In addressing this important issue, we consider a behavior that has been perennially viewed as a f ...
Elsevier2013