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SAUSAGES: Between Planning and Action
[chapter]
<span title="">1997</span>
<i title="Springer US">
Intelligent Unmanned Ground Vehicles
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Another key feature of JayLisp is that it is trivial to write new C++ functions and to invoke them from Jay-Lisp. ...
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Distributed Programming and Coordination for Agent-Based Modular Automation
[chapter]
<span title="">2000</span>
<i title="Springer London">
Robotics Research
</i>
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A promising approach to enabling the rapid deployment and reconfiguration of automated assembly systems is to make use of cooperating, modular, robust robotic agents. Within such an environment, each robotic agent will execute its own program, while coordinating with peers to produce globaly cooperative precision behavior. To simplify the problem of agent programming, the structure of those programs is carefully designed to enable the automatic encapsulation of information necessary for
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... n during distribution. Similarly, the programming model incorporates structures for the compact specification and robust execution of potentially complex and fragile cooperative behaviors. These behaviors utilize a run-time environment that includes tools to automatically sequence the activities of an agent. Taken together, these abstractions enable a programmer to compactly describe the high-level behavior of the agent while relying on a set of formally correct control strategies to properly execute and sequence the necessary continuous behaviors.
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Perception for collision avoidance and autonomous driving
<span title="">2003</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/apysu2ucevgalcmj23w27yep7e" style="color: black;">Mechatronics (Oxford)</a>
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The Navlab group at Carnegie Mellon University has a long history of development of automated vehicles and intelligent systems for driver assistance. The earlier work of the group concentrated on road following, cross-country driving, and obstacle detection. The new focus is on short-range sensing, to look all around the vehicle for safe driving. The current system uses video sensing, laser rangefinders, a novel light-stripe rangefinder, software to process each sensor individually, a map-based
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... fusion system, and a probability based predictive model. The complete system has been demonstrated on the Navlab 11 vehicle for monitoring the environment of a vehicle driving through a cluttered urban environment, detecting and tracking fixed objects, moving objects, pedestrians, curbs, and roads. Robotics Technology and Intelligent Vehicles During the decade of the 1990's, researchers from automotive engineering, from robotics, and from allied fields came together to start building intelligent vehicles [1, 2, 3, 4] . These vehicles use sensors, actuators, processors, and communications systems to either drive automatically, or to monitor a human driver and assist in navigation or warn in case of a developing dangerous situation.
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Distributed Coordination in Modular Precision Assembly Systems
<span title="">2001</span>
<i title="SAGE Publications">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uhsvnr5ecvb4die3422lvgaz6q" style="color: black;">The international journal of robotics research</a>
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This tool provides a factory developer with a global view of the factory system under development (Gowdy and Butler 1999) . ...
These same tools can be synchronized with agents operating in our laboratory to serve as a "virtual window" on an operating factory system (Gowdy and Butler 1999) . ...
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Safe Robot Driving in Cluttered Environments
[chapter]
<span title="">2005</span>
<i title="Springer Berlin Heidelberg">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lirc5icuifhy7ln5rynpn4ak2e" style="color: black;">Springer Tracts in Advanced Robotics</a>
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The Navlab group at Carnegie Mellon University has a long history of development of automated vehicles and intelligent systems for driver assistance. The earlier work of the group concentrated on road following, cross-country driving, and obstacle detection. The new focus is on short-range sensing, to look all around the vehicle for safe driving. The current system uses video sensing, laser rangefinders, a novel light-stripe rangefinder, software to process each sensor individually, and a
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... sed fusion system. The complete system has been demonstrated on the Navlab 11 vehicle for monitoring the environment of a vehicle driving through a cluttered urban environment, detecting and tracking fixed objects, moving objects, pedestrians, curbs, and roads. *
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Combining artificial neural networks and symbolic processing for autonomous robot guidance
<span title="">1991</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/74vjt6olkvfqpdykhombmbjp74" style="color: black;">Engineering applications of artificial intelligence</a>
</i>
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~ Artificial neural networks are capable of performing the reactive aspects of autonomous driving, such as staying on the road and avoiding obstacles. This paper describes an efficient technique for training individual networks to perform these reactive driving tasks. But driving requires more than a collection of isolated capabilities. T o achieve true autonomy, a system must determine which capabilities should be employed in the current situation to achieve its objectives. Such goal-directed
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... ehavior is difficult to implement in an entirely connectionist system. This paper describes a rulebased technique for combining multiple artificial neural networks with map-based symbolic reasoning to achieve high-level behaviors. The resulting system is not only able to stay on the road, it is able to follow a route to a predetermined destination, turning appropriately at intersections and stopping when it has reached its goal. ~
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Moving object detection with laser scanners
<span title="2012-07-03">2012</span>
<i title="Wiley">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hozy4uxohvhslew6ka2x3ecogy" style="color: black;">Journal of Field Robotics</a>
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The detection and tracking of moving objects is an essential task in robotics. The CMU-RI Navlab group has developed such a system that uses a laser scanner as its primary sensor. We will describe our algorithm and its use in several applications. Our system worked successfully on indoor and outdoor platforms and with several different kinds and configurations of two-dimensional and three-dimensional laser scanners. The applications vary from collision warning systems, people classification,
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... erving human tracks, and input to a dynamic planner. Several of these systems were evaluated in live field tests and shown to be robust and reliable.
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Minifactory: a precision assembly system adaptable to the product life cycle
<span title="1997-12-09">1997</span>
<i title="SPIE">
Architectures, Networks, and Intelligent Systems for Manufacturing Integration
</i>
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Automated product assembly systems are traditionally designed with the intent that they will be operated with few significant changes for as long as the product is being manufactured. This approach to factory design and programming has many undesirable qualities which have motivated the development of more "flexible" systems. In an effort to improve agility, different types of flexibility have been integrated into factory designs. Specifically, automated assembly systems have been endowed with
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... he ability to assemble differing products by means of computer-controlled robots, and to accommodate variations in parts locations and dimensions by means of sensing. The product life cycle (PLC) is a standard four-stage model of the performance of a product from the time that it is first introduced in the marketplace until the time that it is discontinued. Manufacturers can improve their return on investment by adapting the production process to the PLC. We are developing two concepts to enable manufacturers to more readily achieve this goal: the Agile Assembly Architecture (AAA), an abstract framework for distributed modular automation; and minifactory, our physical instantiation of this architecture for the assembly of precision electro-mechanical devices. By examining the requirements which each PLC stage places upon the production system, we identify characteristics of factory design and programming which are appropriate for that stage. As the product transitions from one stage to the next, the factory design and programming should also transition from one embodiment to the next in order to achieve the best return on investment. Modularity of the factory components, highly flexible product transport mechanisms, and a high level of distributed intelligence are key characteristics of minifactory that enable this adaptation.
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Driving in traffic: short-range sensing for urban collision avoidance
<span title="2002-07-17">2002</span>
<i title="SPIE">
Unmanned Ground Vehicle Technology IV
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Intelligent vehicles are beginning to appear on the market, but so far their sensing and warning functions only work on the open road. Functions such as runoff-road warning or adaptive cruise control are designed for the uncluttered environments of open highways. We are working on the much more difficult problem of sensing and driver interfaces for driving in urban areas. We need to sense cars and pedestrians and curbs and fire plugs and bicycles and lamp posts; we need to predict the paths of
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... ur own vehicle and of other moving objects; and we need to decide when to issue alerts or warnings to both the driver of our own vehicle and (potentially) to nearby pedestrians. No single sensor is currently able to detect and track all relevant objects. We are working with radar, ladar, stereo vision, and a novel light-stripe range sensor. We have installed a subset of these sensors on a city bus, driving through the streets of Pittsburgh on its normal runs. We are using different kinds of data fusion for different subsets of sensors, plus a coordinating framework for mapping objects at an abstract level.
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Dependable Perception for Robots
<span title="2018-06-29">2018</span>
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The weakest link in many mobile robots is perception. In order to build robots that are reliable and dependable and safe, we need to build robots that can see. Perception is becoming a solved problem for certain constrained environments. But for robots working outdoors, and at high speeds, and in close proximity to people, perception is still incomplete. Our robots need to see objects; to detect motion; and to detect which of those objects are people. In the current state of the art, this
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... es multiple sensors and multiple means of interpretation. This paper illustrates those principles in the context of the CMU Navlab Group's work on vehicle safety for busses and passenger cars.
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Agile assembly architecture : an agent based approach to modular precision assembly systems
<span title="2018-06-15">2018</span>
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Abstract: "This paper serves to present our initial thoughts on the design of an architecture for highly flexible, modular, and distributed precision assembly systems. Through the use of a unified design, simulation, programming, and monitoring environment coupled with self- representing cooperative agents this architecture will significantly simplify the process of factory design and deployment. Our demonstration of this architecture takes the form of a 'table top' sized miniature assembly
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... em targeted at the partial assembly of high-density magnetic storage devices."
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Collision Warning and Sensor Data Processing in Urban Areas
<span title="2018-06-29">2018</span>
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Providing drivers with comprehensive assistance systems has long been a goal for the automotive industry. The challenge is on many fronts, from building sensors, analyzing sensor data, automated understanding of traffic situations and appropriate interaction with the driver. These issues are discussed with the example of a collision warning system for transit buses.
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Driving in Traffic: Short-Range Sensing for Urban Collision Avoidance
<span title="2018-06-29">2018</span>
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Intelligent vehicles are beginning to appear on the market, but so far their sensing and warning functions only work on the open road. Functions such as runoff-road warning or adaptive cruise control are designed for the uncluttered environments of open highways. We are working on the much more difficult problem of sensing and driver interfaces for driving in urban areas. We need to sense cars and pedestrians and curbs and fire plugs and bicycles and lamp posts; we need to predict the paths of
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... ur own vehicle and of other moving objects; and we need to decide when to issue alerts or warnings to both the driver of our own vehicle and (potentially) to nearby pedestrians. No single sensor is currently able to detect and track all relevant objects. We are working with radar, ladar, stereo vision, and a novel light-stripe range sensor. We have installed a subset of these sensors on a city bus, driving through the streets of Pittsburgh on its normal runs. We are using different kinds of data fusion for different subsets of sensors, plus a coordinating framework for mapping objects at an abstract level.
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Page 537 of Leslie's Weekly Vol. 127, Issue 3294
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<span title="1918-10-26">1918</span>
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During
ne battle none of the . vorkers slept for four Re ;
jays and four nights. ...
With Johnny Evers singing out how J it should be done, and Hank Gowdy ; at the plate, and Alexander in th: box, and two or three thousand doughboy fans adding modest com ments, no wonder that a French ...
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Page 120 of Kansas Bar Association. The Journal of the Kansas Bar Association Vol. 27, Issue 1
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<span title="">1958</span>
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<a target="_blank" rel="noopener" href="https://archive.org/details/pub_kansas-bar-association-the-journal" style="color: black;">Kansas Bar Association. The Journal of the Kansas Bar Association </a>
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Jay, Jee k Kansas City Hachey, "Joseph R., Kansas City ne Eugere, Olathe
Hagaman, Frank L., Kansas City, Missouri
Hageman, E. ...
., Dodge City Gowdy, Robert L.,
hamp, al, = Ervin, El Dorado Grant, James B., Valley Center Grant, Warren B., Independence Grauerholz, Alvin F., Coffeyville Graves, Roscoe W., Emporia Gray, Byron M., Topeka ...
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