Emerging Frontiers in Robotic Upper-Limb Prostheses: Mechanisms, Materials, Tactile Sensors and Machine...

Area of Science:

• Biomedical Engineering
• Robotics
• Neuroscience

Background:

• Upper limb amputation significantly impacts daily independence.
• Robotic prostheses offer a solution, driving demand for advanced designs.
• Developing effective robotic hands involves complex modeling, material science, and control systems.

Purpose of the Study:

• To review recent advancements in robotic upper-limb prosthesis development.
• To highlight emerging trends and future directions in the field.
• To focus on control systems, materials, and mechanical designs.

Main Methods:

• Review of current literature on robotic hand prostheses.
• Analysis of electromyography (EMG) based control systems.
• Exploration of machine learning applications in EMG signal decoding.
• Investigation of novel materials and tactile sensor integration.

Main Results:

• Electromyography (EMG) combined with machine learning offers adaptable and intuitive prosthesis control.
• Advancements in materials enhance biocompatibility and durability.
• Tactile sensors are being explored for improved sensory feedback.
• Mechanical designs are evolving to better mimic biological limbs.

Conclusions:

• Robotic prostheses are rapidly improving functional restoration after amputation.
• Integrated approaches combining advanced control, materials, and design are key.
• Future research will likely focus on enhancing user experience and replicating natural limb function.