Invention Grant
- Patent Title: Machine learning control of object handovers
-
Application No.: US16941339Application Date: 2020-07-28
-
Publication No.: US11597078B2Publication Date: 2023-03-07
- Inventor: Wei Yang , Christopher Jason Paxton , Yu-Wei Chao , Dieter Fox
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Davis Wright Tremaine LLP
- Main IPC: G05B15/00
- IPC: G05B15/00 ; G05B19/00 ; B25J9/16 ; G06T7/50 ; G06V20/30 ; G06V20/64 ; G06V40/10

Abstract:
A robotic control system directs a robot to take an object from a human grasp by obtaining an image of a human hand holding an object, estimating the pose of the human hand and the object, and determining a grasp pose for the robot that will not interfere with the human hand. In at least one example, a depth camera is used to obtain a point cloud of the human hand holding the object. The point cloud is provided to a deep network that is trained to generate a grasp pose for a robotic gripper that can take the object from the human's hand without pinching or touching the human's fingers.
Public/Granted literature
- US20220032454A1 MACHINE LEARNING CONTROL OF OBJECT HANDOVERS Public/Granted day:2022-02-03
Information query