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Navlab is a series of autonomous and semi-autonomous vehicles developed by teams from The Robotics Institute at the School of Computer Science, Carnegie Mellon University. Later models were produced under a new department created specifically for the research called "The Carnegie Mellon University Navigation Laboratory". Navlab 5 notably steered itself almost all the way from Pittsburgh to San Diego. History Research on computer controlled vehicles began at Carnegie Mellon in 1984 as part of the DARPA Strategic Computing Initiative and production of the first vehicle, Navlab 1, began in 1986. Navlab 1 burned in 1989 when conditioning system leaked liquid onto the computers. Applications The vehicles in the Navlab series have been designed for varying purposes, "... off-road scouting; automated highways; run-off-road collision prevention; and driver assistance for maneuvering in crowded city environments. Our current work involves pedestrian detection, surround sensing, a ...
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Imitation Learning
Imitation learning is a paradigm in reinforcement learning, where an agent learns to perform a task by supervised learning from expert demonstrations. It is also called learning from demonstration and apprenticeship learning. It has been applied to underactuated robotics, self-driving cars, quadcopter navigation, helicopter aerobatics, and locomotion. Approaches Expert demonstrations are recordings of an expert performing the desired task, often collected as state-action pairs (o_t^*, a_t^*). Behavior Cloning Behavior Cloning (BC) is the most basic form of imitation learning. Essentially, it uses supervised learning to train a policy \pi_\theta such that, given an observation o_t, it would output an action distribution \pi_\theta(\cdot , o_t) that is approximately the same as the action distribution of the experts. BC is susceptible to distribution shift. Specifically, if the trained policy differs from the expert policy, it might find itself straying from expert trajector ...
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Autonomous
In developmental psychology and moral, political, and bioethical philosophy, autonomy is the capacity to make an informed, uncoerced decision. Autonomous organizations or institutions are independent or self-governing. Autonomy can also be defined from a human resources perspective, where it denotes a (relatively high) level of discretion granted to an employee in his or her work. In such cases, autonomy is known to generally increase job satisfaction. Self-actualized individuals are thought to operate autonomously of external expectations. In a medical context, respect for a patient's personal autonomy is considered one of many fundamental ethical principles in medicine. Sociology In the sociology of knowledge, a controversy over the boundaries of autonomy inhibited analysis of any concept beyond relative autonomy, until a typology of autonomy was created and developed within science and technology studies. According to it, the institution of science's existing autonomy is " ...
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Pontiac Bonneville
The Pontiac Bonneville is a model line of full-size or mid-size FR (until 1987) or FF cars manufactured and marketed by Pontiac from 1957 until 2005. The Bonneville (marketed as the Parisienne in Canada until 1981), and its platform partner, the Grand Ville, are some of the largest Pontiacs ever built; in station wagon body styles they reached just over long, and at and more were also some of the heaviest cars produced at the time. The Bonneville nameplate was introduced as a limited production performance convertible during the 1957 model year, its name taken from the Bonneville Salt Flats in Utah — an early site of US auto racing and numerous world's land speed record records, itself named after U.S. Army officer Benjamin Bonneville. Origin The Bonneville name first appeared in 1954 on a pair of bubble-topped GM Motorama concept cars called the Bonneville Special, sharing an appearance with the Chevrolet Corvette. It was also the beginning of a new tradi ...
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1986 Robots
The year 1986 was designated as the International Year of Peace by the United Nations. Events January * January 1 ** Aruba gains increased autonomy from the Netherlands by separating from the Netherlands Antilles. ** Spain and Portugal enter the European Community, which becomes the European Union in 1993. * January 11 – The Sir Leo Hielscher Bridges, Gateway Bridge in Brisbane, Australia, at this time the world's longest prestressed concrete free-cantilever bridge, is opened. * January 13–January 24, 24 – South Yemen Civil War. * January 20 – The United Kingdom and France announce plans to construct the Channel Tunnel. * January 24 – The Voyager 2 space probe makes its first encounter with Uranus. * January 25 – Yoweri Museveni's National Resistance Army Rebel group takes over Uganda after leading a Ugandan Bush War, five-year guerrilla war in which up to half a million people are believed to have been killed. They will later use January 26 as the official date ...
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Robots Of The United States
"\n\n\n\n\n\n\nrobots.txt is the filename used for implementing the Robots Exclusion Protocol, a standard used by websites to indicate to visiting web crawlers and other web robots which portions of the website they are allowed to visit.\n\nThe standard, developed in 1994, relies on voluntary compliance. Malicious bots can use the file as a directory of which pages to visit, though standards bodies discourage countering this with security through obscurity. Some archival sites ignore robots.txt. The standard was used in the 1990s to mitigate server overload. In the 2020s, websites began denying bots that collect information for generative artificial intelligence.\n\nThe \"robots.txt\" file can be used in conjunction with sitemaps, another robot inclusion standard for websites.\n History\nThe standard was proposed by Martijn Koster, when working for Nexor in February 1994 on the ''www-talk'' mailing list, the main communication channel for WWW-related activities at the time. Charles ...
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Carnegie Mellon Vehicles And Rovers
Carnegie may refer to: People *Carnegie (surname), including a list of people with the name **Andrew Carnegie, Scottish-American industrialist and philanthropist * Clan Carnegie, a lowland Scottish clan Institutions Named for Andrew Carnegie * Carnegie Building (Troy, New York), on the campus of Rensselaer Polytechnic Institute *Carnegie College, in Dunfermline, Scotland, a former further education college *Carnegie Community Centre, in downtown Vancouver, British Columbia *Carnegie Council for Ethics in International Affairs *Carnegie Endowment for International Peace, a global think tank with headquarters in Washington, DC, and four other centers, including: **Carnegie Middle East Center, in Beirut **Carnegie Europe, in Brussels **Carnegie Moscow Center *Carnegie Foundation (other), any of several foundations *Carnegie Hall, a concert hall in New York City * Carnegie Hall, Inc., a regional cultural center in Lewisburg, West Virginia *Carnegie Hero Fund *Carnegie Insti ...
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Experimental Self-driving Cars
An experiment is a procedure carried out to support or refute a hypothesis, or determine the efficacy or likelihood of something previously untried. Experiments provide insight into cause-and-effect by demonstrating what outcome occurs when a particular factor is manipulated. Experiments vary greatly in goal and scale but always rely on repeatable procedure and logical analysis of the results. There also exist natural experimental studies. A child may carry out basic experiments to understand how things fall to the ground, while teams of scientists may take years of systematic investigation to advance their understanding of a phenomenon. Experiments and other types of hands-on activities are very important to student learning in the science classroom. Experiments can raise test scores and help a student become more engaged and interested in the material they are learning, especially when used over time. Experiments can vary from personal and informal natural comparisons (e ...
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Driverless Car
A self-driving car, also known as an autonomous car (AC), driverless car, robotic car or robo-car, is a car that is capable of operating with reduced or no User input, human input. They are sometimes called robotaxi, robotaxis, though this term refers specifically to self-driving cars operated for a ridesharing company. Self-driving cars are responsible for all driving activities, such as perceiving the environment, monitoring important systems, and controlling the vehicle, which includes navigating from origin to destination. , no system has achieved full autonomy (SAE Level 5). In December 2020, Waymo was the first to offer rides in self-driving taxis to the public in limited geographic areas (SAE Level 4), and offers services in Arizona (Phoenix) and California (San Francisco and Los Angeles). In June 2024, after a Waymo self-driving taxi crashed into a utility pole in Phoenix, Arizona, all 672 of its Jaguar I-Pace vehicles were recalled after they were found to have susc ...
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Data Augmentation
Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data. Data augmentation has important applications in Bayesian analysis, and the technique is widely used in machine learning to reduce overfitting when training machine learning models, achieved by training models on several slightly-modified copies of existing data. Synthetic oversampling techniques for traditional machine learning Synthetic Minority Over-sampling Technique (SMOTE) is a method used to address imbalanced datasets in machine learning. In such datasets, the number of samples in different classes varies significantly, leading to biased model performance. For example, in a medical diagnosis dataset with 90 samples representing healthy individuals and only 10 samples representing individuals with a particular disease, traditional algorithms may struggle to accurately classify the minority class. SMOTE rebalances the dataset by generating synthetic samples for the ...
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Sun-4
Sun-4 is a series of Unix workstations and servers produced by Sun Microsystems, first appearing in July 1987, with the launch of the Sun 4/260. The original Sun-4 series were VMEbus-based systems similar to the earlier Sun-3 series, but employing microprocessors based on Sun's own SPARC V7 RISC architecture in place of the 68k family processors of previous Sun models. Sun 4/280 was a base system used for building an early RAID prototype. Models Models are listed in approximately chronological order. : In 1989, Sun dropped the "Sun-4" name for marketing purposes in favor of the SPARCstation and SPARCserver brands for new models, although early SPARCstation/server models were also assigned Sun-4-series model numbers. For example, the SPARCstation 1 was also known as the Sun 4/60. This practice was phased out with the introduction of the SPARCserver 600MP series in 1991. The term ''Sun-4'' continued to be used in an engineering context to identify the basic hardware archi ...
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Synthetic Data
Synthetic data are artificially generated rather than produced by real-world events. Typically created using algorithms, synthetic data can be deployed to validate mathematical models and to train machine learning models. Data generated by a computer simulation can be seen as synthetic data. This encompasses most applications of physical modeling, such as music synthesizers or flight simulators. The output of such systems approximates the real thing, but is fully algorithmically generated. Synthetic data is used in a variety of fields as a filter for information that would otherwise compromise the confidentiality of particular aspects of the data. In many sensitive applications, datasets theoretically exist but cannot be released to the general public; synthetic data sidesteps the privacy issues that arise from using real consumer information without permission or compensation. Usefulness Synthetic data is generated to meet specific needs or certain conditions that may not be ...
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Jordan Network
Recurrent neural networks (RNNs) are a class of artificial neural networks designed for processing sequential data, such as text, speech, and time series, where the order of elements is important. Unlike feedforward neural networks, which process inputs independently, RNNs utilize recurrent connections, where the output of a neuron at one time step is fed back as input to the network at the next time step. This enables RNNs to capture temporal dependencies and patterns within sequences. The fundamental building block of RNNs is the ''recurrent unit'', which maintains a ''hidden state''—a form of memory that is updated at each time step based on the current input and the previous hidden state. This feedback mechanism allows the network to learn from past inputs and incorporate that knowledge into its current processing. RNNs have been successfully applied to tasks such as unsegmented, connected handwriting recognition, speech recognition, natural language processing, and neural ...
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