1 citations · 1 across the 4 of their papers we have counts for
5 papers
Adaptive Variable Impedance Control for a Modular Soft Robot Manipulator in Configuration Space
Mahmood Mazare, Silvia Tolu, Mostafa Taghizadeh
Compliance is a strong requirement for human-robot interactions. Soft-robots provide an opportunity to cover the lack of compliance in conventional actuation mechanisms, however, t…
RetinaNet Object Detector based on Analog-to-Spiking Neural Network Conversion
Joaquin Royo-Miquel, Silvia Tolu, Frederik E. T. Schöller +1
The paper proposes a method to convert a deep learning object detector into an equivalent spiking neural network. The aim is to provide a conversion framework that is not constrain…
A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation Tasks
Omar Zahra, David Navarro-Alarcon, Silvia Tolu
While the original goal for developing robots is replacing humans in dangerous and tedious tasks, the final target shall be completely mimicking the human cognitive and motor behav…
Vision-Based Control for Robots by a Fully Spiking Neural System Relying on Cerebellar Predictive Learning
Omar Zahra, David Navarro-Alarcon, Silvia Tolu
The cerebellum plays a distinctive role within our motor control system to achieve fine and coordinated motions. While cerebellar lesions do not lead to a complete loss of motor fu…
Adaptive control for hindlimb locomotion in a simulated mouse through temporal cerebellar learning
T. P. Jensen, S. Tata, A. J. Ijspeert +1
Human beings and other vertebrates show remarkable performance and efficiency in locomotion, but the functioning of their biological control systems for locomotion is still only pa…