改进机器人车辆远程控制的保护自主

B. Steer
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引用次数: 0

摘要

智能机器人将拥有数据处理活动,这将使它们能够以相对于预设目标而言似乎是最佳的行为来响应信息。该信息将包括状态和流程。机器人的智能将是其信息输入的数量、种类和复杂性、存储容量、目标的数量和复杂性、实现这些目标的最优程度、响应所涉及的输出指令的数量和复杂性以及所涉及的活动在战略/战术规模上的位置的函数。上述意义上的智能机器人还不存在,当它们存在时,它们将需要具备许多自主技能。为了应对这一挑战,一项将使机器人车辆受益的自主技能是赋予系统生存能力的技能。这种技能被概括为“保护自主”。这项工作计划的长期目标是为机器人车辆提供算法,这些算法支持在传感器视界之外的空间目标返回的战略行为,并同时利用从传感器视界内进行的战术观察来确保输出指令的执行导致在传感器视界内的安全运动和实现战略目标的寻求
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protective Autonomy For Improved Remote Control Of Robot-vehicles
Intelligent robots will possess data processing activities which will enable them to respond to information with behaviour which appears to be optimal with respect to preset goals. The information will include both state and process. The robot’s intelligence will be a function of the amount, variety, and complexity of its informational input, its storage capacity, the number and complexity of its goals, the degree of optimality achieved in attaining these goals, the amount and complexity of the output instructions involved in the response, and the position on a scale strategic/tactical of the activity involved. Intelligent robots in the sense outlined above do not yet exist, and when they do they will need to possess many autonomous skills. To meet this challenge an autonomous skill which will benefit robot-vehicles is one which gives the system the ability to survive. This skill is summarised by the term Protective Autonomy. The long term goal of this programme of work is to provide a robot-vehicle with algorithms which support the strategic behaviour of homing to a spatial goal that is beyond the sensor horizon, and which concurrently utilise tactical observations made from within the sensor horizon to ensure that the execution of the output instructions result in both the safe movement within the sensor horizon and the achievement of the strategic goal seeking
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