Lethal autonomous weapons (LAWs) are a type of autonomous military system that can independently search for and engage targets based on programmed constraints and descriptions. LAWs are also known as lethal autonomous weapon systems (LAWS), autonomous weapon systems (AWS), robotic weapons or killer robots. LAWs may operate in the air, on land, on water, underwater, or in space. The autonomy of current systems was restricted in the sense that a human gives the final command to attack—though there are exceptions with certain "defensive" systems.
Being "autonomous" has different meanings in different fields of study. In engineering it may refer to the machine's ability to operate without human involvement. In philosophy it may refer to an individual being morally independent. In political science it may refer to an area's capability of self-governance. In terms of military weapon development, the identification of a weapon as autonomous is not as clear as in other areas. The specific standard entailed in the concept of being autonomous can vary hugely between different scholars, nations and organizations.
Various people have many definitions of what constitutes a lethal autonomous weapon. The official United States Department of Defense Policy on Autonomy in Weapon Systems, defines an Autonomous Weapons Systems as, "A weapon system that, once activated, can select and engage targets without further intervention by a human operator." Heather Roff, a writer for Case Western Reserve University School of Law, describes autonomous weapon systems as "armed weapons systems, capable of learning and adapting their 'functioning in response to changing circumstances in the environment in which [they are] deployed,' as well as capable of making firing decisions on their own." This definition of autonomous weapon systems is a fairly high threshold compared to the definitions of scholars such as Peter Asaro and Mark Gubrud's definitions seen below.
Scholars such as Peter Asaro and Mark Gubrud are trying to set the threshold lower and judge more weapon systems as autonomous.
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An autonomous robot is a robot that acts without recourse to human control. The first autonomous robots environment were known as Elmer and Elsie, which were constructed in the late 1940s by W. Grey Walter. They were the first robots in history that were programmed to "think" the way biological brains do and meant to have free will. Elmer and Elsie were often labeled as tortoises because of how they were shaped and the manner in which they moved. They were capable of phototaxis which is the movement that occurs in response to light stimulus.
The Defense Advanced Research Projects Agency (DARPA) is a research and development agency of the United States Department of Defense responsible for the development of emerging technologies for use by the military. Originally known as the Advanced Research Projects Agency (ARPA), the agency was created on February 7, 1958, by President Dwight D. Eisenhower in response to the Soviet launching of Sputnik 1 in 1957.
Deep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobility. In this class, we will show how DL can be used to teach autonomous vehicles to detect objects,
Ce cours donne aux étudiant-e-s les connaissances de base nécessaires pour comprendre les dimensions juridiques de leur activité professionnelle concernant l'aménagement du territoire et la protection
Explores trajectory forecasting in autonomous vehicles, focusing on deep learning models for predicting human trajectories in socially-aware transportation scenarios.
Explores generative models for trajectory forecasting in autonomous vehicles, including discriminative vs generative models, VAES, GANS, and case studies.