Completed in June 2016, our initial prototype set consists of a picker, runner and dexterous hand. The prototypes were engineered for logistic environment and can adapt to other indoor settings as general purpose robots.

    Grasp Plan
    The perception sensors observe the object and our algorithms make decision on how to approach the grasping problem, including object recognition and pose estimation.

    AI and Learning
    We continuously train the robots to “observe, analyze and execute” with the goal that robots will operate at a full autonomous level.