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Sense Plan Act
Sense-Plan-Act was the predominant robot control methodology through 1985. # Sense - gather information using the sensors # Plan - create a world model using all the information, and plan the next move # Act SPA is used in iterations: After the acting phase, the sensing phase, and the entire cycle, is repeated. See also * OODA loop * PDCA * Continual improvement process A continual improvement process, also often called a continuous improvement process (abbreviated as CIP or CI), is an ongoing effort to improve products, services, or processes. These efforts can seek "incrementalism, incremental" improvement ove ... References {{Robo-stub Robot architectures ...
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Robot
A robot is a machine—especially one Computer program, programmable by a computer—capable of carrying out a complex series of actions Automation, automatically. A robot can be guided by an external control device, or the robot control, control may be embedded within. Robots may be constructed to evoke Humanoid robot, human form, but most robots are task-performing machines, designed with an emphasis on stark functionality, rather than expressive aesthetics. Robots can be autonomous robot, autonomous or semi-autonomous and range from humanoids such as Honda's ''Advanced Step in Innovative Mobility'' (ASIMO) and TOSY's ''TOSY Ping Pong Playing Robot'' (TOPIO) to industrial robots, robot-assisted surgery, medical operating robots, patient assist robots, dog therapy robots, collectively programmed Swarm robotics, ''swarm'' robots, UAV drones such as General Atomics MQ-1 Predator, and even microscopic Nanorobotics, nanorobots. By mimicking a lifelike appearance or automating mo ...
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Robotic Sensing
Robotic sensing is a subarea of robotics science intended to provide sensing capabilities to robots. Robotic sensing provides robots with the ability to sense their environments and is typically used as feedback to enable robots to adjust their behavior based on sensed input. Robot sensing includes the ability to see,Roh SG, Choi HR (Jan 2009).3-D Tag-Based RFID System for Recognition of Object" IEEE Transactions on Automation Science and Engineering 6 (1): 55–65.Arivazhagan S, Ganesan L, Kumar TGS (Jun 2009).A modified statistical approach for image fusion using wavelet transform" Signal Image and Video Processing 3 (2): 137-144.Jafar FA, et al (Mar 2011).An Environmental Visual Features Based Navigation Method for Autonomous Mobile Robots" International Journal of Innovative Computing, Information and Control 7 (3): 1341-1355. touch,Anderson S, et al (Dec 2010).Adaptive Cancelation of Self-Generated Sensory Signals in a Whisking Robot" IEEE Transactions on Robotics 26 (6): 106 ...
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Sensor
A sensor is often defined as a device that receives and responds to a signal or stimulus. The stimulus is the quantity, property, or condition that is sensed and converted into electrical signal. In the broadest definition, a sensor is a device, module, machine, or subsystem that detects events or changes in its environment and sends the information to other electronics, frequently a computer processor. Sensors are used in everyday objects such as touch-sensitive elevator buttons ( tactile sensor) and lamps which dim or brighten by touching the base, and in innumerable applications of which most people are never aware. With advances in micromachinery and easy-to-use microcontroller platforms, the uses of sensors have expanded beyond the traditional fields of temperature, pressure and flow measurement, for example into MARG sensors. Analog sensors such as potentiometers and force-sensing resistors are still widely used. Their applications include manufacturing and machinery ...
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Motion Planning
Motion planning, also path planning (also known as the navigation problem or the piano mover's problem) is a computational problem to find a sequence of valid configurations that moves the object from the source to destination. The term is used in computational geometry, computer animation, robotics and computer games. For example, consider navigating a mobile robot inside a building to a distant waypoint. It should execute this task while avoiding walls and not falling down stairs. A motion planning algorithm would take a description of these tasks as input, and produce the speed and turning commands sent to the robot's wheels. Motion planning algorithms might address robots with a larger number of joints (e.g., industrial manipulators), more complex tasks (e.g. manipulation of objects), different constraints (e.g., a car that can only drive forward), and uncertainty (e.g. imperfect models of the environment or robot). Motion planning has several robotics applications, such ...
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Robot Control
Robotic control is the system that contributes to the movement of robots. This involves the mechanical aspects and programmable systems that makes it possible to control robots. Robotics can be controlled by various means including manual, wireless, semi-autonomous (a mix of fully automatic and wireless control), and fully autonomous (using artificial intelligence). Modern robots (2000-present) Medical and surgical In the medical field, robots are used to make precise movements that are difficult for humans. Robotic surgery involves the use of less-invasive surgical methods, which are “procedures performed through tiny incisions”. Robots use the Da Vinci Surgical System, da Vinci surgical method, which involves the robotic arm (which holds onto surgical instruments) and a camera. The surgeon sits on a console where he controls the robot wirelessly. The feed from the camera is projected on a monitor, allowing the surgeon to see the incisions. The system is built to mimic t ...
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Iteration
Iteration is the repetition of a process in order to generate a (possibly unbounded) sequence of outcomes. Each repetition of the process is a single iteration, and the outcome of each iteration is then the starting point of the next iteration. In mathematics and computer science, iteration (along with the related technique of recursion) is a standard element of algorithms. Mathematics In mathematics, iteration may refer to the process of iterated function, iterating a function, i.e. applying a function repeatedly, using the output from one iteration as the input to the next. Iteration of apparently simple functions can produce complex behaviors and difficult problems – for examples, see the Collatz conjecture and juggler sequences. Another use of iteration in mathematics is in iterative methods which are used to produce approximate numerical solutions to certain mathematical problems. Newton's method is an example of an iterative method. Manual calculation of a number's sq ...
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OODA Loop
The OODA loop (observe, orient, decide, act) is a decision-making model developed by United States Air Force Colonel John Boyd. He applied the concept to the combat operations process, often at the operational level during military campaigns. It is often applied to understand commercial operations and learning processes. The approach explains how agility can overcome raw power in dealing with human opponents. The OODA loop As can be seen from the diagram, the OODA loop includes continuous collection of feedback and observations. This enables late commitment, which is an important element of agility. This is in contrast to the PDCA (plan–do–check–act) cycle which requires early commitment. Use in law and business The OODA loop has become an important concept in litigation, business, law enforcement, management education, military strategy and cyber security, and cyberwarfare. According to Boyd, decision-making occurs in an iterative cycle of "observe, orient, decide, ...
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PDCA
PDCA or plan–do–check–act (sometimes called plan–do–check–adjust) is an iterative design and management method used in business for the control and continual improvement of processes and products. It is also known as the Shewhart cycle, or the control circle/cycle. Another version of this PDCA cycle is OPDCA. The added stands for ''observation'' or as some versions say: "Observe the current condition." This emphasis on observation and current condition has currency with the literature on lean manufacturing and the Toyota Production System. The PDCA cycle, with Ishikawa's changes, can be traced back to S. Mizuno of the Tokyo Institute of Technology in 1959. The PDCA cycle is also known as PDSA cycle (where S stands for ''study''). It was an early means of representing the task areas of traditional quality management. The cycle is sometimes referred to as the Shewhart / Deming cycle since it originated with physicist Walter Shewhart at the Bell Telephone Laborator ...
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Continual Improvement Process
A continual improvement process, also often called a continuous improvement process (abbreviated as CIP or CI), is an ongoing effort to improve products, services, or processes. These efforts can seek "incrementalism, incremental" improvement over time or "breakthrough" improvement all at once. Delivery (customer valued) processes are constantly evaluated and improved in the light of their efficiency, effectiveness and flexibility. Some see continual improvement processes as a meta-process for most management systems (such as business process management, quality management, project management, and program management). W. Edwards Deming, a pioneer of the field, saw it as part of the 'system' whereby feedback from the process and customer were evaluated against organisational goals. The fact that it can be called a management process does not mean that it needs to be executed by 'management'; but rather merely that it makes decisions about the implementation of the delivery process ...
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