Jacques Kaiser

Orcid: 0000-0001-7487-6185

According to our database1, Jacques Kaiser authored at least 29 papers between 2016 and 2021.

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Bibliography

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

2020
Synaptic Learning for Neuromorphic Vision - Processing Address Events with Spiking Neural Networks.
PhD thesis, 2020

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

Neuromorphic Stereo Vision: A Survey of Bio-Inspired Sensors and Algorithms.
Frontiers Neurorobotics, 2019

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

Running Large-Scale Simulations on the Neurorobotics Platform to Understand Vision - The Case of Visual Crowding.
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

Advanced Usability Through Constrained Multi Modal Interactive Strategies: The CookieBot.
Proceedings of the 19th International Conference on Advanced Robotics, 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

Creating an Obstacle Memory Through Event-Based Stereo Vision and Robotic Proprioception.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 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
Synaptic Plasticity Dynamics for Deep Continuous Local Learning.
CoRR, 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

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
Simultaneous State Initialization and Gyroscope Bias Calibration in Visual Inertial Aided Navigation.
IEEE Robotics Autom. Lett., 2017

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

Semi-Supervised Spiking Neural Network for One-Shot Object Appearance Learning.
Proceedings of the 5th International Congress on Neurotechnology, 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

Retina Color-Opponency Based Pursuit Implemented Through Spiking Neural Networks in the Neurorobotics Platform.
Proceedings of the Biomimetic and Biohybrid Systems - 5th International Conference, 2016


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