Biologically inspired approaches to robotics: what can we learn from insects?
Communications of the ACM
Walknet—a biologically inspired network to control six-legged walking
Neural Networks - Special issue on neural control and robotics: biology and technology
A Robot That Walks; Emergent Behaviors from a Carefully Evolved Network
A Robot That Walks; Emergent Behaviors from a Carefully Evolved Network
Concept evaluation of a new biologically inspired robot "Littleape"
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
The First Takeoff of a Biologically Inspired At-Scale Robotic Insect
IEEE Transactions on Robotics
Fault-tolerant locomotion of the hexapod robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper describes the implementation of an adaptive gait in a six-legged walking robot that is capable of generating reactive stepping actions with the same underlying controlmethodology as an insect for stable walking over uneven terrains. The proposed method of gait generation uses feedback data from onboard sensors to generate an adaptive gait in order to surmount obstacles, gaps and perform stable walking. The paper addresses its implementation through simulations in a visual dynamic simulation environment. Finally the paper draws conclusions about the significance and performance of the proposed gait in terms of tracking errors while navigating in difficult terrains.