A task-based design methodology for robotic exoskeletons

Area of Science:

• Robotics
• Biomechanics
• Human-Computer Interaction

Background:

• Current robotic exoskeleton design often mimics human anatomy, requiring precise joint alignment.
• This can be complex and limit the exoskeleton's adaptability to individual movements.

Purpose of the Study:

• To develop a novel task-based methodology for designing robotic exoskeletons.
• To create a systematic approach for exoskeletons that follow complex 3D human limb motions, independent of anatomical landmarks.

Main Methods:

• Collected desired limb trajectories using a motion capture system from a healthy subject.
• Employed approximate dimensional synthesis to determine mechanism size and placement.
• Validated the procedure from motion capture to kinematic synthesis and mechanism optimization.

Main Results:

• Developed a robotic exoskeleton capable of accurately following complex 3D human limb trajectories.
• The exoskeleton functions without the need for aligning its joints with corresponding human joints.

Conclusions:

• Presents a method for designing lower-mobility exoskeletons tailored to specific human motions.
• Results in exoskeletons with reduced actuation systems, leading to lighter designs and eliminating the need for robotic-human joint axis alignment.