Juan Camilo Vasquez Tieck

Orcid: 0000-0003-3449-1373

According to our database1, Juan Camilo Vasquez Tieck authored at least 24 papers between 2016 and 2021.

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Bibliography

2021
Motion representation with spiking neural networks for grasping and manipulation
PhD thesis, 2021

Soft-Grasping With an Anthropomorphic Robotic Hand Using Spiking Neurons.
IEEE Robotics Autom. Lett., 2021

2020
A spiking network classifies human sEMG signals and triggers finger reflexes on a robotic hand.
Robotics Auton. Syst., 2020


Networks of Place Cells for Representing 3D Environments and Path Planning.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

Embodied Neuromorphic Vision with Continuous Random Backpropagation.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2019
Combining Motor Primitives for Perception Driven Target Reaching With Spiking Neurons.
Int. J. Cogn. Informatics Nat. Intell., 2019

Generating Pointing Motions for a Humanoid Robot by Combining Motor Primitives.
Frontiers Neurorobotics, 2019

Embodied Synaptic Plasticity With Online Reinforcement Learning.
Frontiers Neurorobotics, 2019

Embodied Event-Driven Random Backpropagation.
CoRR, 2019

Combining spiking motor primitives with a behaviour-based architecture to model locomotion for six-legged robots.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

The Neurorobotics Platform for Teaching - Embodiment Experiments with Spiking Neural Networks and Virtual Robots.
Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

Learning target reaching motions with a robotic arm using brain-inspired dopamine modulated STDP.
Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

2018
Microsaccades for asynchronous feature extraction with spiking networks.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Microsaccades for Neuromorphic Stereo Vision.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Triggering Robot Hand Reflexes with Human EMG Data Using Spiking Neurons.
Proceedings of the Intelligent Autonomous Systems 15, 2018

Multi-Modal Motion Activation for Robot Control Using Spiking Neurons.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

Learning to Reproduce Visually Similar Movements by Minimizing Event-Based Prediction Error.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

Controlling a Robot Arm for Target Reaching without Planning Using Spiking Neurons.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

2017
Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform.
Frontiers Neurorobotics, 2017

Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Spiking Convolutional Deep Belief Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks.
Proceedings of the 2016 IEEE International Conference on Simulation, 2016


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