Competitive Advantages
- Improved grasp and grasp planning
- Improved motion recognition
- Objection relationship and interaction recognition
Summary
Our inventors have developed an approach where-by robots can learn human-like motion and task-specific grasping strategies from human demonstration and analysis of a grasp quality metric based on distribution of task disturbance, and apply the learning results into planning, with respect to grasp qualities. Furthermore, they have developed a methodology to congregate object recognition and manipulation motion in an intelligent robot that connects interactive objects with their functional motions. These methods can be generalized to different robotic hand models.
![](https://usf.technologypublisher.com/files/sites/13a097.png)
Corresponding small wrap and lateral pinch of robotic hand to hu-man hand. They look similar to a human grasp but are different for a robotic grasp. Left: Small wrap grasps for a human hand (top) and a robotic hand (bottom). Right: Lateral pinch grasps for a human hand (top) and a robotic hand (bottom).
Desired Partnerships
- License
- Sponsored Research
- Co-Development