a Bioinspired Advanced Neural Control for Autonomous Walking Robots

a Bioinspired Advanced Neural Control for Autonomous Walking Robots

Researchers from BRAIN-lab at VISTEC in Thailand developed a bioinspired advanced neural control with proactive behavior learning and short-term memory for autonomous walking robots that enables them to traverse complex terrain. Image credit: BRAIN-lab at VISTEC The proposed control consists of three main modular neural mechanisms to create insect-like gaits, adapt robot joint movement individually with respect to the terrain during the stance phase using only the torque feedback, and generate a short-term memory for proactive obstacle avoidance during the swing phase. Their proposed control: does not require robot and environmental models, exteroceptive feedback, or multiple learning trialsdepends only on…
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an Efficient Leg Design for Energy-efficient Locomotion for Hexapods

an Efficient Leg Design for Energy-efficient Locomotion for Hexapods

Manoonpong and colleagues at SDU Biorobotics have proposed an efficient leg design for energy-efficient locomotion for hexapods. The foot design uses the Fin Ray structure using the effect of different crossbeam angles inside its frame. Image credit: SDU Biorobotics Key features: the locomotion is way better than the #hexapods with hemispherical rubber feetthe robot walks with a wave gaitthe robot can successfully walk on different challenging terrains3D printing with soft material, finite element modeling, and neural control are used to produce an integrative solution This research has potential applications in Biorobotics to study and develop bio-inspired robots resembling the locomotion…
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