Assist-as-needed path control for the PASCAL rehabilitation robot.

Area of Science:

• Robotics
• Rehabilitation Engineering
• Neuroscience

Background:

• Neurological disorders impair arm motor function, necessitating rehabilitation.
• Robotic therapy offers a complementary approach to conventional methods.
• Effective robotic systems require adjustable assistance to ensure patient engagement.

Purpose of the Study:

• To present an assist-as-needed path controller for robotic arm therapy.
• To enhance patient participation in rehabilitation through adaptive robotic assistance.
• To improve arm motor function in adults and children with neurological conditions.

Main Methods:

• Implementation of an assist-as-needed path controller in the PASCAL robot.
• Integration of speed restrictions (support/resistance) and target position gain scheduling.
• Inclusion of an adaptable direction-dependent supportive flux along the path.

Main Results:

• Preliminary testing with a healthy volunteer demonstrated controller functionality.
• The controller effectively manages assistance levels from full support to no assistance.
• The system supports arm movements while allowing patient freedom.

Conclusions:

• The developed path controller offers a versatile approach to robotic rehabilitation.
• Future applications include assisting reaching movements in children and adults.
• The controller aims to increase rehabilitation intensity and patient activity.