Analog VLSI and neural systems
Analog VLSI and neural systems
The computational hoverfly; a study in computational neuroethology
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Evolving dynamical neural networks for adaptive behavior
Adaptive Behavior
Explorations in evolutionary robotics
Adaptive Behavior
Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
What matters in neuronal locking?
Neural Computation
Spikes: exploring the neural code
Spikes: exploring the neural code
Pulsed Neural Networks
Analog VLSI: Circuits and Principles
Analog VLSI: Circuits and Principles
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
ER '01 Proceedings of the International Symposium on Evolutionary Robotics From Intelligent Robotics to Artificial Life
Evolving Vision-Based Flying Robots
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Autonomous Vehicle Guidance Using Analog VLSI Neuromorphic Sensors
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Evolution of Adaptive Synapses: Robots with Fast Adaptive Behavior in New Environments
Evolutionary Computation
Learning Beyond Finite Memory in Recurrent Networks of Spiking Neurons
Neural Computation
A Simple Aplysia-Like Spiking Neural Network to Generate Adaptive Behavior in Autonomous Robots
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Using spiking neural networks for the generation of coordinated action sequences in robots
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Pattern recognition using spiking neurons and firing rates
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Learning beyond finite memory in recurrent networks of spiking neurons
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
A target-reaching controller for mobile robots using spiking neural networks
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
| Hi-index | 0.00 |
We give an overview of the EPFL indoor flying project, whose goal is to evolve neural controllers for autonomous, adaptive, indoor micro-flyers. Indoor flight is still a challenge because it requires miniaturization, energy efficiency, and control of nonlinear flight dynamics. This ongoing project consists of developing a flying, vision-based micro-robot, a bio-inspired controller composed of adaptive spiking neurons directly mapped into digital microcontrollers, and a method to evolve such a neural controller without human intervention. This article describes the motivation and methodology used to reach our goal as well as the results of a number of preliminary experiments on vision-based wheeled and flying robots.