Robotics: control, sensing, vision, and intelligence
Robotics: control, sensing, vision, and intelligence
Slipping and Tripping Reflexes for Bipedal Robots
Autonomous Robots
Intelligent locomotion control on sloping surfaces
Information Sciences—Informatics and Computer Science: An International Journal
Walking Control Algorithm of Biped Humanoid Robot on Uneven and Inclined Floor
Journal of Intelligent and Robotic Systems
The motion control of a statically stable biped robot on an unevenfloor
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
International Journal of Advanced Intelligence Paradigms
Near-optimal gait generations of a two-legged robot on rough terrains using soft computing
Robotics and Computer-Integrated Manufacturing
A review of gait optimization based on evolutionary computation
Applied Computational Intelligence and Soft Computing - Special issue on theory and applications of evolutionary computation
Dynamic Biped Locomotion in Structured Environment
Proceedings of Conference on Advances In Robotics
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Dynamically balanced gait generation problems of a biped robot moving up and down the sloping surface have been solved utilizing soft computing-based approaches. The gait generation problem of a biped robot is difficult to model due to its inherent complexity, imprecision in the collected data of the environment, which are the characteristics that can be the best modeled using soft computing. Two different approaches, namely genetic-neural (GA-NN) and genetic-fuzzy (GA-FLC) systems have been developed to solve the ascending and descending gait generation problems of a two-legged robot negotiating the sloping surface. Two modules of neural network (NN)/fuzzy logic controller (FLC) have been used to model the gait generation problem of a biped robot using the GA-NN/GA-FLC system. The weights of the NNs in the GA-NN and knowledge bases of the FLCs in the GA-FLC systems are optimized offline, utilizing a genetic algorithm (GA). Once the GA-NN/GA-FLC system is optimized, it will be able to generate the dynamically balanced gaits of the two-legged robot in the optimal sense.