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公开(公告)号:US20210034078A1
公开(公告)日:2021-02-04
申请号:US16647328
申请日:2017-12-27
Applicant: INTEL CORPORATION
Inventor: David GOMEZ GUTIERREZ , Jose PARRA VILCHIS , Rafael DE LA GUARDIA GONZALEZ , Rodrigo ALDANA LOPEZ , Leobardo CAMPOS MACIAS
Abstract: A drone controller comprises processing circuitry to, at a first time when the drone is in flight, to determine a drone state comprising a position and a velocity of the drone and determine a relative obstacle state comprising a relative position and a relative velocity of the drone with respect to an obstacle. The processor then determines a reaction to avoid the obstacle based on the relative obstacle state and applies a signal related to the reaction to one or more actuator control inputs of the drone that modifies a drone path existing at the first time to avoid the obstacle.
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公开(公告)号:US20250110499A1
公开(公告)日:2025-04-03
申请号:US18476347
申请日:2023-09-28
Applicant: Intel Corporation
Inventor: Leobardo Emmanuel CAMPOS MACIAS , Rafael DE LA GUARDIA GONZALEZ , David GOMEZ GUTIERREZ , David GONZALEZ AGUIRRE , Julio ZAMORA ESQUIVEL
Abstract: Disclosed herein are devices, systems, and methods for representing a workspace of a robot. The system includes a sensor configured to capture an image of the workspace. The system also includes a processor in communication with the sensor. The processor is configured to convert the image into a point cloud representation of the workspace. The processor is also configured to determine, for at least one point in the point cloud representation, a hash code that relates a task state to a volumetric space associated with the at least one point. The processor is also configured to determine a motion plan for the robot within the workspace based on the hash code and to cause the robot to execute the motion plan.
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公开(公告)号:US20230048578A1
公开(公告)日:2023-02-16
申请号:US17953344
申请日:2022-09-27
Applicant: Intel Corporation
Inventor: Leobardo Emmanuel CAMPOS MACIAS , David GOMEZ GUTIERREZ , Javier FELIP LEON , Jose Ignacio PARRA VILCHIS
IPC: G05B19/4155 , B25J9/16
Abstract: Disclosed herein are systems, devices, and methods for real-time determinations of likelihoods for possible trajectories of a collaborator in a workspace with a robot. The system determines a current kinematic state of the collaborator and determines a goal of the collaborator based on occupancy information about objects in the workspace. The system also determines a possible trajectory for the collaborator based on the goal and the current kinematic state and determines a short-horizon trajectory for the collaborator based on previously observed kinematic states of the collaborator towards the goal. The system also determines a likelihood that the collaborator will follow the possible trajectory based on the short-horizon trajectory, the goal, and the current kinematic state. The system also generates a movement instruction to control movement of the robot based on the likelihood that the collaborator will follow the possible trajectory.
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