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guro_robot [24.07.2019 22:04] – angelegt Guoping Zhaoguro_robot [24.07.2019 22:14] Guoping Zhao
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 +Human legs are capable of achieving different locomotion tasks (e.g. hopping, walking, running, etc.) with different ground conditions (e.g. flat ground, uneven terrains, soft ground, etc.). Understanding human leg functions are one of the keys to improve the performance of exoskeletons, prosthesis and bipedal robots. It has been shown that compliant leg behavior can explain basic dynamics of hopping, walking and running gaits. 
 +There are several robots have been developed with serial elastic actuators (SEAs) based on the compliant leg concept. MIT cheetah robot demonstrated that the compliant behavior can be emulated with direct-drive (low gear ratio reduction) electric motors. 
 +Human compliant leg behavior can be generated by neuromuscular properties and neural control circuitries. 
 +Simulation studies from have shown that diverse behaviors of human (e.g. dynamic walking and running gait) can be achieved by a neural circuitry that emphasizes spinal feedback. Schumacher and Seyfarth showed that different reflex feedback pathways lead to different behaviors during hopping with a point mass simulation model. 
 +However, it remains unclear if this knowledge is applicable to a real robotic system.  
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 +Here, we built a hopping robot with a two-segmented leg and implemented the neuromuscular reflex based control for hopping. 
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 +The robot consists of two quasi-direct-drive brushless DC (BLDC) motors which control the hip and knee joint separately in the sagittal plane. To minimize the leg moment of inertia, both hip and knee motors are fixed at the top of the thigh. Knee joint is coupled with the knee motor shaft by a rope-pulley mechanism (gear-ratio 4:1). In order to avoid high mechanical stiffness and friction in the transmission chain, no gearbox is used for the motors. The direct drive actuation ensures the transparency between the motor and the external environment. This makes it possible to achieve relative good torque control performance by motor current sensing (without any force/torque sensors). 
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 +{{:guro_robot_structure.png?600|}}
guro_robot.txt · Zuletzt geändert: 27.11.2022 22:58 von 127.0.0.1


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