Evolving Hebbian learning rules in voxel-based soft robots
According to Hebbian theory, synaptic plasticity is the ability of neurons to strengthen or
weaken the synapses among them in response to stimuli. It plays a fundamental role in the …
weaken the synapses among them in response to stimuli. It plays a fundamental role in the …
[HTML][HTML] Reward-modulated Hebbian plasticity as leverage for partially embodied control in compliant robotics
J Burms, K Caluwaerts, J Dambre - Frontiers in neurorobotics, 2015 - frontiersin.org
In embodied computation (or morphological computation), part of the complexity of motor
control is offloaded to the body dynamics. We demonstrate that a simple Hebbian-like …
control is offloaded to the body dynamics. We demonstrate that a simple Hebbian-like …
On the impact of body material properties on neuroevolution for embodied agents: the case of voxel-based soft robots
Artificial agents required to perform non-trivial tasks are commonly controlled with Artificial
Neural Networks (ANNs), which need to be carefully fine-tuned. This is where ANN …
Neural Networks (ANNs), which need to be carefully fine-tuned. This is where ANN …
Evolution of distributed neural controllers for voxel-based soft robots
Voxel-based soft robots (VSRs) are aggregations of elastic, cubic blocks that have sparkled
the interest of Robotics and Artificial Life researchers. VSRs can move by varying the volume …
the interest of Robotics and Artificial Life researchers. VSRs can move by varying the volume …
On the effects of pruning on evolved neural controllers for soft robots
Artificial neural networks (ANNs) are commonly used for controlling robotic agents. For
robots with many sensors and actuators, ANNs can be very complex, with many neurons …
robots with many sensors and actuators, ANNs can be very complex, with many neurons …
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Artificial neural networks (ANNs) can be employed as controllers for robotic agents. Their
structure is often complex, with many neurons and connections, especially when the robots …
structure is often complex, with many neurons and connections, especially when the robots …
Evolving modularity in soft robots through an embodied and self-organizing neural controller
Modularity is a desirable property for embodied agents, as it could foster their suitability to
different domains by disassembling them into transferable modules that can be reassembled …
different domains by disassembling them into transferable modules that can be reassembled …
Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots
Evolving virtual creatures is a field with a rich history and recently it has been getting more
attention, especially in the soft robotics domain. The compliance of soft materials endows …
attention, especially in the soft robotics domain. The compliance of soft materials endows …
Flexible and multistable pattern generation by evolving constrained plastic neurocontrollers
In evolutionary robotics, plastic neural network models proved to be promising for evolving
adaptive behaviors. In particular, neurocontrollers incorporating hebbian synapses have …
adaptive behaviors. In particular, neurocontrollers incorporating hebbian synapses have …
[HTML][HTML] An experimental comparison of evolved neural network models for controlling simulated modular soft robots
Voxel-based soft robots (VSRs) are a type of modular robots composed by interconnected
soft and deformable blocks, ie, voxels. Thanks to the softness of their bodies, VSRs may …
soft and deformable blocks, ie, voxels. Thanks to the softness of their bodies, VSRs may …