Neural Control and Adaptive Neural Forward Models for Insect-like, Energy-Efficient, and Adaptable Locomotion of Walking Machines
Living creatures, like walking animals, have found fascinating solutions for the problem of locomotion control. Their movements show the impression of elegance including versatile, energy-efficient, and adaptable locomotion. During the last few decades, roboticists have tried to imitate such natural...
Main Authors: | Poramate eManoonpong, Ulrich eParlitz, Florentin eWörgötter |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2013-02-01
|
Series: | Frontiers in Neural Circuits |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncir.2013.00012/full |
Similar Items
-
Distributed Recurrent Neural Forward Models with Synaptic Adaptation and CPG-based control for Complex Behaviors of Walking Robots
by: Sakyasingha eDasgupta, et al.
Published: (2015-09-01) -
General Distributed Neural Control and Sensory Adaptation for Self-Organized Locomotion and Fast Adaptation to Damage of Walking Robots
by: Aitor Miguel-Blanco, et al.
Published: (2020-08-01) -
Synaptic plasticity in a recurrent neural network for versatile and adaptive behaviors of a walking robot
by: Eduard eGrinke, et al.
Published: (2015-10-01) -
Neuromodulatory Adaptive Combination of Correlation-based Learning in Cerebellum and Reward-based Learning in Basal Ganglia for Goal-directed Behavior Control
by: Sakyasingha eDasgupta, et al.
Published: (2014-10-01) -
Biologically-Inspired Adaptive Obstacle Negotiation Behavior of Hexapod Robots
by: Dennis eGoldschmidt, et al.
Published: (2014-01-01)