Exoskeleton Design & Control for BMI Study
The integration of a brain-machine interface (BMI) and an exoskeleton has the potential to promote the understanding of fundamental principles in the neural control of movements, as well as to motivate a new generation of rehabilitation or power augmentation exoskeleton systems. This research focuses on the design and control of a multiple degrees of freedom (DOF) upper limb exoskeleton for BMI macaques to achieve: 1) data acquisition (by torque control) and 2) motion actuation (by impedance/position control), providing proprioceptive feedbacks to help establish a closed-loop BMI system. Collaborators are researchers from the labs of Professor Jose Carmena and Professor Claire Tomlin at UC Berkeley working on, respectively, neural decoder design and hybrid system scheme identication and control. Our effort by now has been devoted to design and control of the upper-limb exoskeleton including kinematic design and analysis, torque reflecting actuator design, as well as hardware fabrication.
|Junkai Lu||Graduate Student|
|Kevin Haninger||Graduate Student||Homepage|
|Joonbum Bae||UNIST, Korea||Homepage|
|Wenjie Chen||FANUC Corporation||Homepage|
National Science Foundation (NSF)