A distributed neural network architecture for hexapod robot locomotion

Biologically inspired approaches to robotics: what can we learn from insects?

Communications of the ACM

A biologically inspired robotic model for learning by imitation

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents

Walking Robots and the Central and Peripheral Control of Locomotion in Insects

Autonomous Robots

Control of Walking in the Stick Insect: From Behavior and Physiology to Modeling

Autonomous Robots

Book review: Connectionist Symbol Processing edited by Geoffrey Hinton (MIT/Elsevier Press) and High-Level Connectionist Model edited by John A. Barnden and Jordan B. Pollack (Advances in Connectionist and Neural Computation Theory Volume 1 John A. Barnden, series editor Ablex Publishing Corporation)

ACM SIGART Bulletin

Fast Biped Walking with a Sensor-driven Neuronal Controller and Real-time Online Learning

International Journal of Robotics Research

A Reflexive Neural Network for Dynamic Biped Walking Control

Neural Computation

2008 Special Issue: Central pattern generators for locomotion control in animals and robots: A review

Neural Networks

A dynamical systems perspective on agent-environment interaction

Artificial Intelligence

Experience-based learning mechanism for neural controller adaptation: application to walking biped robots

IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems

Neural control of a modular multi-legged walking machine: Simulation and hardware

Robotics and Autonomous Systems

Biomechatronics for embodied intelligence of an insectoid robot

ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II

Modeling and animating myriapoda: a real-time kinematic/dynamic approach

Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation