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Supervisory Control of a Humanoid Robot in Microgravity for Manipulation Tasks

机译:微重力下的仿人机器人操纵任务的监督控制

摘要

Teleoperation is the dominant form of dexterous robotic tasks in the field. However, there are many use cases in which direct teleoperation is not feasible such as disaster areas with poor communication as posed in the DARPA Robotics Challenge, or robot operations on spacecraft a large distance from Earth with long communication delays. Presented is a solution that combines the Affordance Template Framework for object interaction with TaskForce for supervisory control in order to accomplish high level task objectives with basic autonomous behavior from the robot. TaskForce, is a new commanding infrastructure that allows for optimal development of task execution, clear feedback to the user to aid in off-nominal situations, and the capability to add autonomous verification and corrective actions. This framework has allowed the robot to take corrective actions before requesting assistance from the user. This framework is demonstrated with Robonaut 2 removing a Cargo Transfer Bag from a simulated logistics resupply vehicle for spaceflight using a single operator command. This was executed with 80% success with no human involvement, and 95% success with limited human interaction. This technology sets the stage to do any number of high level tasks using a similar framework, allowing the robot to accomplish tasks with minimal to no human interaction.
机译:远程操作是该领域中灵巧机器人任务的主要形式。但是,在许多用例中,直接远程操作是不可行的,例如DARPA机器人挑战赛中通信不畅的灾区,或距地球很远的航天器上的机器人操作,通信延迟长。提出的解决方案将用于对象交互的Affordance模板框架与用于监督控制的TaskForce相结合,以实现具有机器人基本自主行为的高级任务目标。 TaskForce是一种新的命令基础结构,它可以优化任务执行的开发,向用户提供清晰的反馈以帮助非正常情况,并具有添加自主验证和纠正措施的功能。该框架允许机器人在请求用户帮助之前采取纠正措施。 Robonaut 2使用一个操作员命令从模拟的物流补给车上卸下载货袋进行太空飞行,就证明了这一框架。在没有人工干预的情况下,执行此操作的成功率为80%,在人类互动受限的情况下执行为95%。这项技术为使用类似框架执行任何数量的高级任务奠定了基础,从而使机器人能够以最少的人工交互来完成任务。

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