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20202026
most citedDifferential Mapping Spiking Neural Network for Sensor-Based Robot Control

20 citations · 27 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.RO2025

Learning-based Delay Compensation for Enhanced Control of Assistive Soft Robots

Adrià Mompó Alepuz, Dimitrios Papageorgiou, Silvia Tolu

Soft robots are increasingly used in healthcare, especially for assistive care, due to their inherent safety and adaptability. Controlling soft robots is challenging due to their n…

cs.RO2024

Assisted Physical Interaction: Autonomous Aerial Robots with Neural Network Detection, Navigation, and Safety Layers

Andrea Berra, Viswa Narayanan Sankaranarayanan, Achilleas Santi Seisa +10

The paper introduces a novel framework for safe and autonomous aerial physical interaction in industrial settings. It comprises two main components: a neural network-based target d…

cs.RO2021

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…

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…