A bioinspired robotic knee with controlled joint surfaces and adjustable ligaments

Area of Science:

• Biomechanics
• Robotics
• Biomimetic Engineering

Background:

• The human knee's complex interplay of meniscus and ligaments is crucial for locomotion but underrepresented in current robotic designs.
• Understanding this relationship is key to improving robotic and prosthetic leg functionality.

Purpose of the Study:

• To explore the role of the meniscus and ligaments in joint stability and mobility.
• To create a bioinspired robotic knee that replicates anatomical function.
• To investigate biomimetic design principles for enhanced robotic leg performance.

Main Methods:

• A kinematic model of the human knee was created using MRI data, including contact profiles and ligament fibers.
• A bioinspired robotic knee was designed based on this model, integrating ligaments and specific contact profiles for stability.
• A monopod robot equipped with the bioinspired knee underwent dynamic testing.

Main Results:

• The bioinspired knee demonstrated a smooth rolling-sliding motion with the inclusion of menisci and compatible ligaments.
• Joint stiffness was successfully modulated by adjusting spring parameters and ligament fiber activation lengths.

Conclusions:

• The bioinspired robotic knee design successfully replicates key aspects of human knee function.
• This research provides valuable biomimetic insights for developing advanced robotic and prosthetic legs.