Cerebellar dynamic state estimation for biomorphic robot arm
The cerebellum has been called the brain's 'engine of agility'. This paper presents a cerebellar-inspired neural network that performs dynamic state estimation and predictive control.
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The cerebellum has been called the brain's 'engine of agility'. This paper presents a cerebellar-inspired neural network that performs dynamic state estimation and predictive control.
McKibben artificial muscles, comprised of an ex-pandable bladder wrapped in a double-helix-braided sheath,have the ability to generate forces without restricting motion tooccur exclusively along the direction of actuation. This makesthem attractive for a variety of applications including soft,wearable, and biomimetic robots. Despite their advantages, thetheoretical maximum contraction ratio of McKibben muscles isonly 36.3%, which restricts the range of motion of the systemsthey actuate. This work introduces a novel ‘chain-link actuator’that exploits the bending stiffness of McKibben muscles toachieve contraction ratios of more than 50%. A static modelthat captures the relationship between pressure, displacement,and force is presented and validated on several real chain-linkactuator systems.
Planetary surface robotic exploration is typically done by wheeled robots, which are limited to traveling on relatively flat terrain. The goal of this project was to design a bio-inspired robot to mimic the movements and agility of animals to navigate in various types of natural terrain, such as found on Mars. My objective for the summer was to design and construct a quadruped robot with a locomotion gait similar to a small dog. The design includes four legs and an actuated flexible spine for added mobility and performance; each leg has three joints - hip, knee, and ankle. I created 3D CAD models and machined the pieces for the assemblies of each part. One of the key areas of concern is weight vs. power issues for the driving force of locomotion. To maximize the power-to-weight ratio, I used McKibben air muscles to drive the motion of the quadruped. The prototype went through several iterations to analyze performance, with adjustments made to each assembly. We expect the final working prototype will be capable of standing unassisted and pronking into the air without active control. It will serve as a research platform for future bio-inspired control algorithms.