公开(公告)号：US20230271330A1

公开(公告)日：2023-08-31

申请号：US18055569

申请日：2022-11-15

Applicant: Nvidia Corporation

Inventor： Balakumar Sundaralingam ,  Pratyusha Sharma ,  Christopher Jason Paxton ,  Valts Blukis ,  Tucker Hermans ,  Dieter Fox

IPC: B25J13/00 ,  B25J9/16 ,  B25J19/02

CPC classification number: B25J13/003 ,  B25J9/1664 ,  B25J9/163 ,  B25J9/161 ,  B25J19/023

Abstract: Approaches presented herein provide for a framework to integrate human provided feedback in natural language to update a robot planning cost or value. The natural language feedback may be modeled as a cost or value associated with completing a task assigned to the robot. This cost or value may then be added to an initial task cost or value to update one or more actions to be performed by the robot. The framework can be applied to both real work and simulated environments where the robot may receive instructions, in natural language, that either provide a goal, modify an existing goal, or provide constraints to actions to achieve an existing goal.

公开(公告)号：US20210125052A1

公开(公告)日：2021-04-29

申请号：US16663222

申请日：2019-10-24

Applicant: NVIDIA Corporation

Inventor： Jonathan Tremblay ,  Visak Chadalavada Vijay Kumar ,  Tucker Hermans

IPC: G06N3/08 ,  B25J9/16 ,  B25J18/00 ,  G06K9/62 ,  G06T7/62

Abstract: Apparatuses, systems, and techniques to perform a grasp of on object using an articulated robotic hand equipped with one or more tactile sensors. In at least one embodiment, a machine-learned model trained in simulation to grasp a cuboid using signals received from tactile sensors is applied to grasping objects of various shapes in a real-world environment.