Abstract
Design and development of legged robots that can navigate effectively and autonomously in a wide range of environments is a challenging problem. At that point it should be noted that nature inspired optimization techniques have been widely studied for autonomous navigation of legged robots. In this study the framework constructed for six-legged walking behavior generation using genetic algorithms is presented and simulation results on Unity are discussed.
Keywords
Legged robot
Robot
Computer science
Genetic algorithm
Range (aeronautics)
Point (geometry)
Artificial intelligence
Simulation
Algorithm
Machine learning
Engineering
Mathematics
Aerospace engineering
Subject Areas
Robotic Locomotion and Control
·Biomedical Engineering ·Physical Sciences
Biomimetic flight and propulsion mechanisms
·Aerospace Engineering ·Physical Sciences
Soil Mechanics and Vehicle Dynamics
·Civil and Structural Engineering ·Physical Sciences
Citations by Year
2021: 1
2022: 2
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