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Silvia Tolu

4 accepted papers

2022

Closed-Loop Dynamic Control of a Soft Manipulator Using Deep Reinforcement Learning

RA-L 2022

The focus of the research community in the soft robotic field has been on developing innovative materials, but the design of control strategies applicable to these robotic platforms is still an open challenge. This is due to their highly nonlinear dynamics which is difficult to model and the degree

Cited by 72SourceScholar
2021

A Fully Spiking Neural Control System Based on Cerebellar Predictive Learning for Sensor-Guided Robots

ICRA 2021poster

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 functions, both action and perception are severally impacted. Hence, it is assumed that the cerebellum uses an internal fo…

Cited by 6SourceScholar
2021

Online Learning of the Dynamical Internal Model of Transfemoral Prosthesis for Enhancing Compliance

RA-L 2021

Powered prostheses hold promises to restore adaptive and robust locomotion to lower-limb amputees. However, their daily use is still challenged by several shortcomings, on top of which those related to their control methods. This letter reports the development of an adaptive controller for a transfe

Cited by 4SourceScholar
2020

A Cerebellar Internal Models Control Architecture for Online Sensorimotor Adaptation of a Humanoid Robot Acting in a Dynamic Environment

RA-L 2020

Humanoid robots are often supposed to operate in non-deterministic human environments, and as a consequence, the robust and gentle rejection of the external perturbations is extremely crucial. In this scenario, stable and accurate behavior is mostly solved through adaptive control mechanisms that le

Cited by 23SourceScholar