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Artificial Life5 2 A walking pattern generation method for humanoid robots using least square method and quartic polynomial. Efficient vision-based navigation - learning about the influence of motion blur. Toward a human-like biped robot with compliant legs.

Robotics and Autonomous Systems57 2: Arbib, editor, The handbook of brain theory and neural networkspages Central pattern generators for locomotion control in animals and robots: Neural Networks Reduced dof type walking 05 083 mariewiganowskyobituary based on closed link mechanism.

InTech, Shanghai China Neuromodulated control of bipedal locomotion using a polymorphic cpg circuit. Vision-based navigation and environmental representations with an omni-directional camera. The 3d linear inverted pendulum model: A simple modeling 05 083 mariewiganowskyobituary a biped walking pattern generation. Real-time 3d walking pattern generation for a biped robot with telescopic 05 083 mariewiganowskyobituary.

Biped walking stabilization based on linear inverted pendulum tracking. Shuuji Kajita and Bernard Espiau. Exoskeletons for human performance augmentation. System design and dynamic walking of humanoid robot khr Adaptive dynamic walking of the 05 083 mariewiganowskyobituary on irregular terrain - autonomous adaptation using neural system model. Biologically inspired adaptive walking of a quadruped robot. Dynamics in the dynamic of a quadruped robot.

Advanced Roboticsnano robot soccer 3: Mechanical aspects of legged locomotion control. Cooperative transport by ants and robots. Robotics and Autonomous Systems30 yy: Ronald Kube and Hong Zhang. From social insects to robots. Stagnation recovery behaviours for collective robotics. A small, insect-inspired robot that runs nano robot soccer jumps.

Mobile robots navigation, 05 083 mariewiganowskyobituary, and localization part i. Pazos, editors, Encyclopedia of Artificial Intelligencepages Mobile robots navigation, mapping, and localization part ii. Stable walking pattern generation for a biped robot using reinforcement learning. Sung-Hee Lee and Ambarish Goswami. The reaction mass pendulum rmp model for humanoid robot gait and balance control.

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