Structural and Material Optimization for Automatic Synthesis of Spine-Segment Mechanisms for Humanoid Robots with...

Area of Science:

• Biomechanical Engineering
• Robotics
• Computational Design

Background:

• Humanoid robots require artificial joints that mimic human biomechanics for effective operation in human-centric environments.
• Current artificial joints are often inspired by human anatomy but lack accurate load response matching.
• Designing functional spinal orthotics necessitates precise replication of spinal joint mechanics.

Purpose of the Study:

• To develop a novel, automated method for designing artificial human intervertebral joint substitutes.
• To create joint substitutes with structural and material parameters optimized for specific angular stiffnesses.
• To validate the proposed design approach through numerical simulations.

Main Methods:

• A novel automated design method was proposed for artificial intervertebral joints.
• Joint substitutes were modeled as two platforms connected by flexible links.
• A structured Genetic Algorithm was employed for optimization based on reference angular stiffnesses.
• The method was tested using three numerical scenarios, including replication of the L4-L5 intervertebral joint and custom stiffness profiles.

Main Results:

• The proposed automated method successfully designed artificial intervertebral joint substitutes.
• Numerical simulations validated the effectiveness of the optimization approach.
• The designed joints demonstrated the ability to achieve reference angular stiffnesses.

Conclusions:

• The developed automated method is effective for designing artificial intervertebral joints.
• This approach can be applied to create artificial joints for humanoid robots and spinal orthotic devices.
• The general nature of the method allows for its extension to other human body joints.