Creating an accurate dynamic model of the human body is the foundation for designing wearable robots. Using tools like Bio-motion and RecurDyn, human body motion data is captured and converted into realistic models. These models are essential for ensuring compatibility and functionality when the wearable robot is attached.
Integrating the control model with the dynamic human-robot model enables comprehensive simulations. Using tools like RecurDyn and Simulink, engineers can validate actuator performance, refine control algorithms, and test the system’s behavior under real-world conditions.
Simulation-based design eliminates the need for excessive physical prototyping, reducing costs and minimizing risks associated with testing wearable robots on human subjects. It also accelerates the design iteration process, saving valuable time.
Wearable robots have a wide range of applications, from assisting in medical rehabilitation to enhancing mobility in military and industrial settings. Simulating these systems ensures that designs meet the unique demands of each use case, delivering reliable and efficient solutions.