IISc Guidance, Control And Decision Systems Laboratory
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IISc Guidance, Control And Decision Systems Laboratory
The Guidance, Control and Decision Systems Laboratory (GCDSL) is situated in the Department of Aerospace Engineering at the Indian Institute of Science in Bangalore, India. The Mobile Robotics Laboratory (MRL) is its experimental division. They are headed by Dr. Debasish Ghose, Full Professor. GCDSL was established in 1990 (the MRL in 2002) and is considered as one of the leading robotic research centers in India. GCDSL/MRL has close research collaborations with eminent academic groups in countries such as USA, UK, Israel, South Korea etc. It also has multiple Industry project grants. Research overview GCDSL was started with the primary aim of performing research in the fields of Swarm robotics, Multi-Robot Systems and Cooperative Robotics with applications to tasks such as cooperative transportation, robotic formations, cooperative search/rescue, and odor source localization. in MRL, several robotic platforms have been built in-house and used for real-world-experiments in ...
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Public University
A public university, state university, or public college is a university or college that is State ownership, owned by the state or receives significant funding from a government. Whether a national university is considered public varies from one country (or region) to another, largely depending on the specific education landscape. In contrast a private university is usually owned and operated by a private corporation (not-for-profit or for profit). Both types are often regulated, but to varying degrees, by the government. Africa Algeria In Algeria, public universities are a key part of the education system, and education is considered a right for all citizens. Access to these universities requires passing the Baccalaureate (Bac) exam, with each institution setting its own grade requirements (out of 20) for different majors and programs. Notable public universities include the Algiers 1 University, University of Algiers, Oran 1 University, University of Oran, and Constantin ...
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Bangalore, India
Bengaluru, also known as Bangalore (List of renamed places in India#Karnataka, its official name until 1 November 2014), is the Capital city, capital and largest city of the southern States and union territories of India, Indian state of Karnataka. As per the 2011 Census of India, 2011 census, the city had a population of 8.4 million, making it the List of cities in India by population, third most populous city in India and the most populous in South India. The Bengaluru metropolitan area had a population of around 8.5 million, making it the List of million-plus urban agglomerations in India, fifth most populous urban agglomeration in the country. It is located near the center of the Deccan Plateau, at a height of above sea level. The city is known as India's "Garden City", due to its parks and greenery. Archaeological artifacts indicate that the human settlement in the region happened as early as 4000 Common Era, BCE. The first mention of the name "Bengalooru" is from an ol ...
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Indian Institute Of Science
The Indian Institute of Science (IISc) is a Public university, public, Deemed university, deemed, research university for higher education and research in science, engineering, design, and management. It is located in Bengaluru, Karnataka. The institute was established in 1909 with active support from Jamsetji Tata and thus is also locally known as the Tata Institute. It was granted a deemed university status in 1958 and recognized as an Institute of Eminence in 2018. History Foundations and early history After an accidental meeting between Jamsetji Tata and Swami Vivekananda, on a ship in 1893 where they discussed Tata's plan of bringing the steel industry to India, Tata wrote to Vivekananda five years later: "I trust, you remember me as a fellow-traveller on your voyage from Japan to Chicago. I very much recall at this moment your views on the growth of the ascetic spirit in India... I recall these ideas in connection with my scheme of Research Institute of Science for ...
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Debasish Ghose
Debasish Ghose (born 16 May 1960) is a professor at Department of Aerospace Engineering, Indian Institute of Science. He is believed to have initiated work on cooperative control in India, having pioneered research on Intelligent control and multi-agents. He founded the first mobile robotics lab in India i.e. Mobile Robotics Laboratory at IISc in 2002. He is known for his early work in swarm intelligence, distributed computing and game theory. His primary research is in Guidance and control of autonomous vehicles, although, current interest is in Computational intelligence i.e. Machine Learning for Aerial Robotics. Formerly, he has served as chair of the Department of Aerospace, IISc (2012–15) and convener of the Space Technology Cell (STC), ISRO-IISc. He was a visiting professor at the University of California, Los Angeles for nearly 4 years. Education * 1990 Doctor of Philosophy (PhD in Electrical Engineering), Indian Institute of Science. His specialization is in app ...
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Swarm Robotics
Swarm robotics is the study of how to design independent systems of robots without centralized control. The emerging swarming behavior of robotic swarms is created through the interactions between individual robots and the environment.H. Pan; M. Zahmatkesh; F. Rekabi-Bana; F. Arvin; J. HuT-STAR: Time-Optimal Swarm Trajectory Planning for Quadrotor Unmanned Aerial Vehicles IEEE Transactions on Intelligent Transportation Systems, 2025. This idea emerged on the field of artificial swarm intelligence, as well as the studies of insects, ants and other fields in nature, where swarm behavior occurs. Relatively simple individual rules can produce a large set of complex swarm behaviors. A key component is the communication between the members of the group that build a system of constant feedback. The swarm behavior involves constant change of individuals in cooperation with others, as well as the behavior of the whole group. Key Attributes of Robotic Swarms The design of swarm rob ...
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Simultaneous Localization And Mapping
Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an Intelligent agent, agent's location within it. While this initially appears to be a chicken or the egg problem, there are several algorithms known to solve it in, at least approximately, tractable time for certain environments. Popular approximate solution methods include the particle filter, extended Kalman filter, covariance intersection, and GraphSLAM. SLAM algorithms are based on concepts in computational geometry and computer vision, and are used in robot navigation, robotic mapping and odometry for virtual reality or augmented reality. SLAM algorithms are tailored to the available resources and are not aimed at perfection but at operational compliance. Published approaches are employed in self-driving cars, unmanned aerial vehicles, autonomous underwater vehicles, Rover (space exploration), planetary r ...
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Machine Vision
Machine vision is the technology and methods used to provide image, imaging-based automation, automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance, usually in industry. Machine vision refers to many technologies, software and hardware products, integrated systems, actions, methods and expertise. Machine vision as a systems engineering discipline can be considered distinct from computer vision, a form of computer science. It attempts to integrate existing technologies in new ways and apply them to solve real world problems. The term is the prevalent one for these functions in industrial automation environments but is also used for these functions in other environment vehicle guidance. The overall machine vision process includes planning the details of the requirements and project, and then creating a solution. During run-time, the process starts with imaging, followed by automated image analysis, analysis of the image a ...
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Computer Vision
Computer vision tasks include methods for image sensor, acquiring, Image processing, processing, Image analysis, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. The scientific discipline of computer vision is concerned with the theory behind artificial systems that extract information from images. Image data can take many forms, such as video sequences, views from multiple cameras, multi-dimensional data from a 3D scanning, 3D scanner, 3D point clouds ...
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Machine Learning
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of Computational statistics, statistical algorithms that can learn from data and generalise to unseen data, and thus perform Task (computing), tasks without explicit Machine code, instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed Neural network (machine learning), neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance. ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics. Statistics and mathematical optimisation (mathematical programming) methods comprise the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysi ...
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Glowworm Swarm Optimization
This is a chronologically ordered list of metaphor-based metaheuristics and swarm intelligence algorithms, sorted by decade of proposal. Algorithms 1980s-1990s Simulated annealing (Kirkpatrick et al., 1983) Simulated annealing is a probabilistic algorithm inspired by annealing, a heat treatment method in metallurgy. It is often used when the search space is discrete (e.g., all tours that visit a given set of cities). For problems where finding the precise global optimum is less important than finding an acceptable local optimum in a fixed amount of time, simulated annealing may be preferable to alternatives such as gradient descent. The analogue of the slow cooling of annealing is a slow decrease in the probability of simulated annealing accepting worse solutions as it explores the solution space. Accepting worse solutions is a fundamental property of metaheuristics because it allows for a more extensive search for the optimal solution. Ant colony optimization (ACO) ...
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Luciferin
Luciferin () is a generic term for the light-emitting chemical compound, compound found in organisms that generate bioluminescence. Luciferins typically undergo an enzyme-catalyzed reaction with Oxygen, molecular oxygen. The resulting transformation, which usually involves breaking off a molecular fragment, produces an excited state intermediate that emits light upon decaying to its ground state. The term may refer to molecules that are substrates for both luciferases and photoproteins. Types Luciferins are a class of small-molecule substrate (biochemistry), substrates that react with oxygen in the presence of a luciferase (an enzyme) to release energy in the form of light. It is not known just how many types of luciferins there are, but some of the better-studied compounds are listed below. Because of the chemical diversity of luciferins, there is no clear unifying mechanism of action, except that all require molecular oxygen, The variety of luciferins and luciferases, their ...
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Quadcopter
A quadcopter, also called quadrocopter, or quadrotor is a type of helicopter or multicopter that has four rotors. Although quadrotor helicopters and convertiplanes have long been flown experimentally, the configuration remained a curiosity until the arrival of the modern unmanned aerial vehicle or drone. The small size and low inertia of drones allows use of a particularly simple flight control system, which has greatly increased the practicality of the small quadrotor in this application. Design principles Each rotor produces both lift and torque about its center of rotation, as well as drag opposite to the vehicle's direction of flight. Quadcopters generally have two rotors spinning clockwise (CW) and two counterclockwise (CCW). Flight control is provided by independent variation of the speed and hence lift and torque of each rotor. Pitch and roll are controlled by varying the net centre of thrust, with yaw controlled by varying the net torque. Unlike conventional hel ...
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