Wearable Robotics
A series of experiments including torque output tests, transparency tests, cardiopulmonary exercise tests and surface electromyography tests with five healthy subjects (height, 1.76 ± 0.05 m; weight, 72.5 ± 7.26 kg; age, 27.2 ± 2.86 years; all male) to validate the effectiveness of the SPURS. All participants provided written informed consent to participate in the study.
- Categories:
52 Views
Visual systems can improve transitions between different locomotion mode controllers (e.g., level-ground walking to stair ascent) by sensing the walking environment prior to physical interactions. Here we developed StairNet to support the development of vision-based stair recognition systems for robotic leg control. The dataset builds on ExoNet – the largest open-source dataset of egocentric images of real-world walking environments.
- Categories:
2726 Views