activity
20192021
most citedDifferential Mapping Spiking Neural Network for Sensor-Based Robot Control

20 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2021★ 1 cited

Learning Cloth Folding Tasks with Refined Flow Based Spatio-Temporal Graphs

Peng Zhou, Omar Zahra, Anqing Duan +3

Cloth folding is a widespread domestic task that is seemingly performed by humans but which is highly challenging for autonomous robots to execute due to the highly deformable natu…

cs.RO2021

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…

cs.RO2020★ 1 cited

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…

cs.RO2020★ 20 cited

Differential Mapping Spiking Neural Network for Sensor-Based Robot Control

Omar Zahra, Silvia Tolu, David Navarro-Alarcon

In this work, a spiking neural network (SNN) is proposed for approximating differential sensorimotor maps of robotic systems. The computed model is used as a local Jacobian-like pr…

cs.RO2019

A Self-Organizing Network with Varying Density Structure for Characterizing Sensorimotor Transformations in Robotic Systems

Omar Zahra, David Navarro-Alarcon

In this work, we present the development of a neuro-inspired approach for characterizing sensorimotor relations in robotic systems. The proposed method has self-organizing and asso…