Dual-Branch Fusion Network: Precise Decoding of Lower Limb Multi-Joint Torque

Key Points

• The aim is to create an efficient solution for controlling torque in lower limb exoskeletons to improve user experience.
• Developing a dual-branch fusion network architecture for torque decoding.
• Evaluating performance in terms of speed and reliability of torque control.
• Testing in simulated environments to assess human-robot interaction dynamics.
• Improved response time for torque adjustments in assistive exoskeletons.
• Enhanced user comfort and natural movement when interacting with the exoskeleton.
• Demonstrated ability to adapt to varying user needs in real-time.