Our system solutions enable rapid development of intelligent distributed control systems for
applications including:
applications including:
 | Digital Signal Processing Modules | |
| Unmanned ground vehicles | |
| Industrial control systems | |
| Automotive | |
| Education and research in the exciting field of robotics | |
| Including swarm intelligence, emergent computation and control, neural networks, | |
| genetic programming, other fascinating biologically inspired technologies. |
| Lumenosys Technologies Are Rooted In Futuristic Engineering The development of real-time embedded systems, such as those of industrial, space-based, and military robotics continue to face increasing system complexity and requirements for higher levels of autonomy, performance, and dependability. For commercial, industrial or military applications, our solutions enable rapid development of resilient distributed control systems, drastically reducing time to market while improving quality and reducing the need for low-level validation and testing. Our products allow you to focus more on developing your robotics application and less on fragile implementation details. For education and research our system solutions provide a complete environment to explore new ideas in robotics and control and quickly put them into action. Using familiar graphical engineering tools and our system solution, students can put their knowledge into motion with real hardware, but without the integration headaches to distract from the learning process. Researchers can utilize our distributed platform to investigate new ways of building systems which leverage inspiration from biological systems, such as swarm intelligence and evolutionary algorithms -- enabling performance and resilience never before demonstrated by man-made machines. More and more robotics systems are finding their way into safety critical domains such as unmanned aircraft (UAVs), automotive, and industrial controls, where reliability and safety demands thorough system validation and test coverage, including meeting demanding certification requirements such as DO178B and IEC61508. Utilizing industry proven model-driven engineering tools, our system development solution will enable you to quickly get started and focus on your robotics application significantly reducing the learning curve, yet enabling you to develop highly complex and fault-tolerant systems with improved tractability and testability with reduced risk. Unlike some software or hardware-only vendors, we provide complete integrated systems including ruggedized embedded processors, intelligent sensor and actuator interface modules, software framework and support libraries, and integrated model-driven tools for design, integration, and hardware in the loop test. OUR PRODUCTS ARE THE RESULT OF YEARS OF RESEARCH AND DEVELOPMENT IN ROBOTICS, ROBOTICS CONTROL SYSTEMS, AND OPTICAL COMMUNICATION Robots in the Sky: Unmanned Aerial Vehicles and Control Systems Advances in robotics led to the development of Unmanned aerial robots and their important roles in Military and civilian operations have accelerated their development in the last decade. Miniature UAVs (unmanned aerial vehicles such as small helicopters) have become increasingly sought after for military tactical operations and for commercial civilian applications. UAVs are being used for surveillance by law enforcement and border patrol agencies and the National Oceanic and Atmospheric Administration (NOAA) is using UAVs to gather hurricane data to predict and warn of potential damage to communities. New Directions in UAV Development Bird-sized UAVs and in the future, insect-sized UAVs have been made possible through the reduction in size of on-board communication, avionics and sensor hardware. (UAVs) can be divided into 1) Fixed-wing UAVs (unmanned aerial vehicles) which need specific velocity to stay aloft and a runway for take-off and landing, and 2) Rotocraft UAVs (unmanned aerial vehicles) such as helicopters. Helicopter rotocraft UAVs (unmanned aerial vehicles) have distinct advantages over fixed-wing, because they do not need a relative velocity to produce aerodynamic lift forces and they can take off and land vertically. Small scale helicopters (<5kg) have all of the physical principles and flight capabilities of full sized UAV helicopters, but they are more agile than the large unmanned aerial vehicles. This latter fact and the efficient autonomous flight platforms they have, as well as their lower developmental costs, have brought them to the attention of the UAV (unmanned aerial vehicle) research and development community. Designing the small autonomous flight platform for the UAV helicopter requires knowledge and experience in diverse fields of engineering. One of the biggest challenges is the development of sensor integration and sensor fusion to obtain flight controller design, communications and path planning, and more precise measurements. We've utilized the latest in advanced sensor and energy efficient computing technologies to develop rugged small form-factor components for building advanced fault tolerant control systems for robotics and UAVs. For more information and the latest scientific research articles on UAVs and unmanned aircraft control systems Robotics, UAVs and Control Systems Please contact us today for more information and find out how we can help you put your dreams into motion. technologies@lumenosys.com More On Emergent Computation and Concepts in Algorithms Innovations in optical communication and security technology can be developed using a new concept called emergent computation. Emergent computation or algorithms is a paradigm inspired by biological systems in which complex global behavior arises from the local interactions of large numbers of simple components. Exploiting this paradigm for engineering complex systems offers significant advantages over conventional centralized software and hardware systems since the algorithmic complexity is achieved through simple components, each implementing simple rules, with well-defined interfaces and easily testable functionality. The problems solved by such systems are solved in a massively parallel fashion and offering the possibility to exploit redundancy and fault tolerance. In a complex computing or communications system based on emergent computation, the output of a system results from an autonomous decision made by each part, based on its own interpretation of the data or information. For instance, like a bee communicating to others an intelligent decision is made by the swarm, based on information from its parts, while no central information processor is present or needed. Theorists in many fields are excited by this new concept. In computer engineering, it suggests that the computer not only can play the role of an autonomous agent in decision-making situations categorized as routine but even in some novel situations. Of course, what are these situations? Speculatively, we could note the use of these learning models in space exploration and social spaces characterized by abundant data. Although the former is understandable, given the autonomous nature of probes traveling to the far reaches of the solar system, the latter is somewhat more challenging to envision. One possibility is in the realm of highly complex systems that not only demonstrate emergent properties such as adaptation but also are characterized by our inability to effectively reduce their form, processes, and outcomes to analytically ordered models. Emergent computation is potentially relevant to several areas, including adaptive systems (complex social regimes under policy interventions), parallel processing, and cognitive and biological modeling, and other communication and software systems. Scientists are beginning to see that the concept of emergent computation occurs in nature and this can be used to study natural patterns in phenomena and develop solutions to specific problems in fields of research. We used this concept in developing our optical communication and security innovations. Many biological systems appear to carry out this type of distributed computation-- for instance, ant colonies, nervous systems, and immune systems. One favorite example among biologists is slime molds, which exist for most of their lives as single-celled, amoeba-like creatures. When their food supply runs dry, they somehow figure out, through local signals between cells, how to swarm together into a slug-like, multi-cellular organism that produces the spores that give rise to the next generation. Unlike traditional computation, in which a central processing unit carries out programs, distributed emergent computation lacks a central controller. Instead, large numbers of simple units interact with each other to achieve complex, large-scale computations. Plants may perform what scientists call distributed emergent computation. Although the plants don't add, subtract, multiply, or divide, they do seem to compute solutions to problems of how to coordinate the actions of their cells effectively. Researchers believe plants may use computation to figure out how wide to open pores in their leaves. The leaf pores, also called stomata, open to allow in carbon dioxide, which plants need for photosynthesis. However, open pores also let out water and so may dehydrate the plant. To balance these competing factors as environmental factors change, plants constantly adjust how many and how widely their pores are open. The way that plants achieve this balance has been a mystery. There's no brain to coordinate the tens of thousands of pores, and individual pores seem to have no way of knowing what distant pores are doing. At first, biologists thought that each pore simply decided independently what action to take. About 10 years ago, however, researchers noticed that large patches of pores frequently open and close in concert. More recently, Keith Mott, a biologist at Utah State University in Logan, discovered that over minutes, these patches of synchronization move about the leaf; often displaying complex dynamics. He described these observations to physicist David Peak, a colleague at Utah State. They reminded Peak of patterns that turn up in cellular automata, a kind of distributed emergent computer. "It occurred to us that the patterns could be symptomatic of a distributed emergent Computation," Mott says. Mott and Peak next investigated whether there was more to the seeming similarity between the behavior of leaf pores and of cellular automata. A cellular automaton consists of a collection of units called cells, each of which can be in one of several states. Over time, the cells change their states according to rules that depend on their current states and those of their neighbors. The best-known cellular automaton is the Game of Life, invented in 1970 by British mathematician John Conway, now at Princeton University. The game consists of a grid of cells, each of which is considered to be either dead or alive. At each time step, some cells switch state according to simple rules. An example of this is when a live cell with at least four living neighbors dies of overpopulation. Even though each cell is influenced only--by nearby cells, complicated global patterns can emerge. Cellular automata may underlie nearly all phenomena, from the physics of elementary particles to life and intelligence. Although, most scientists don't subscribe to such a sweeping concept, they are using principles of emergent computation to process images, model earthquakes, traffic patterns, ecological patterns and migration of animals, and neural circuits and tumor growth. For additional information and scientific research articles on emergent computation and algorithm development Emergent Computation If you like this site, you will also enjoy our great Sister sites: Mini Horse Barn Aquarium Fish Mini Horse Advanced Robotics Control and Communication Systems Apache Jewelry Native American Jewelry Unmanned Robotics and Control Systems Native American Sand Painting Miniature Horse Care Cherokee Jewelry Optical Communication Digital and Optical Communication Articles Native American Art Native American Pottery Native American Flute Sacagawea Seahorse Aquarium Coral Clownfish and Anemones Sacagawea's Life, Death and Birth Tribe |
Open Robotics Community and Forum
We provide an interactive forum, and information on robotics topics.
We offer complete hardware and software solutions for systems integrators in industry,
education, and research in the field of robotics and control systems.
We offer complete hardware and software solutions for systems integrators in industry,
education, and research in the field of robotics and control systems.
