Swarm Robotics - Revision history

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 * [https://www.mdpi.com/2227-7390/10/3/372 Categories, Quantum Computing, and Swarm Robotics: A Case Study:] This paper presents a theoretical framework and a quantitative example of how to model and program swarm robotics using category theory and quantum computing. The authors use a matrix representation to relate local and global behaviors in a swarm, and simulate a toy model with a 4-qubit system. (2022-01-25)
 ** Motivation: The paper aims to build a general model for swarm robotics, inspired by the complex behaviors of natural swarms of animals. The authors want to explore the potentialities of quantum computing in this field, as it offers computational efficiency and parallelism.
-** Methodology: The paper uses category theory to sketch a diagrammatic classification of swarms, relating ideal swarms to existing implementations. The paper also uses a matrix representation to describe the local and global behaviors of a swarm, with diagonal sub-matrices for individual features and off-diagonal sub-matrices for pairwise interactions. The paper then shapes the structure of the interaction term using quantum computing, and simulates a toy model with a 4-qubit system.
+** Methodology: The paper uses category theory to sketch a diagrammatic classification of swarms, relating ideal swarms to existing implementations. The paper uses [[Matrix Calculation]] to describe the local and global behaviors of a swarm, with diagonal sub-matrices for individual features and off-diagonal sub-matrices for pairwise interactions. The paper then shapes the structure of the interaction term using quantum computing, and simulates a toy model with a 4-qubit system.
 ** Results: The paper shows that the matrix representation can capture the essential features of a swarm, such as self-organization, communication, and coordination. The paper also shows that the quantum computing simulation can reproduce the expected behaviors of the toy model, such as alignment, cohesion, and separation.
 ** Implications: The paper suggests that the proposed framework and example can shed light on the potentialities of quantum computing in the realm of swarm robotics, and open new avenues for further research and development. The paper also discusses some limitations and challenges, such as scalability, noise, and decoherence.

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 ===Other Material===
 * See wiki page on [[Self-organization]]
 [[Category: Artificial Intelligence]]
 [[Category: Model]]

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 * [https://www.mdpi.com/2076-3417/13/12/7031 Trajectory Planning in Robot Joint Space Based on Improved Quantum Particle Swarm Optimization Algorithm] Trajectory planning is a crucial step in controlling robot motion. The efficiency and accuracy of trajectory planning directly impact the real-time control and accuracy of robot motion. The robot’s trajectory is mapped to the joint space, and a mathematical model of trajectory planning is established to meet physical constraints during motion and avoid joint coupling problems. To enhance convergence speed and avoid local optima, an improved quantum particle swarm optimization algorithm is proposed and applied to solve the mathematical model of robot trajectory planning. The trajectory planning in robot joint space is then tested based on the improved quantum particle swarm optimization algorithm. The results demonstrate that this method can replace the traditional trajectory planning algorithms and offers higher accuracy and efficiency.
 * [https://www.sciencedirect.com/science/article/abs/pii/S2210650223000706 Modeling and designing a robotic swarm: A quantum computing approach] (2023-06) from query Use robot swarm to emulate quantum computer
 ==References==

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	[[Category: Artificial Intelligence]]		[[Category: Artificial Intelligence]]
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 Swarm robotics is a field of robotics that studies the behavior of large groups of relatively simple robots that work together to accomplish a task. Swarm robots can be used for computation in various ways. For example, they can be used to solve problems that are too complex for a single robot to handle, such as path planning, object recognition, and environmental monitoring. Swarm robots can also be used to perform distributed computing tasks, such as data processing, data storage, and data transmission. In addition, swarm robots can be used to simulate complex systems, such as biological systems, social systems, and ecological systems. Swarm robotics is an exciting and rapidly growing field that has the potential to revolutionize the way we think about computation and robotics.<ref>Cindy Calderón-Arce _2,''Swarm Robotics: Simulators, Platforms and Applications Review'' </ref>
-Swarm robotics can be used for computation in a variety of applications, such as agriculture, environmental monitoring, search and rescue, and military operations. For example, swarm robots can be used to monitor crop growth and detect pests and diseases in agricultural fields. They can also be used to monitor air and water quality in the environment, and to search for and rescue people in disaster zones. In military operations, swarm robots can be used for reconnaissance, surveillance, and target acquisition 12.
+Swarm robotics can be used for computation in a variety of applications, such as agriculture, environmental monitoring, search and rescue, and military operations. For example, swarm robots can be used to monitor crop growth and detect pests and diseases in agricultural fields. They can also be used to monitor air and water quality in the environment, and to search for and rescue people in disaster zones. In military operations, swarm robots can be used for reconnaissance, surveillance, and target acquisition. <ref>Mryan Yah Ben Zion +2, ''Morphological computation and decentralized learning in a swarm of sterically interacting robots'' https://www.mdpi.com/2079-3197/10/6/80</ref>
 ===Decision Making===

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−	Swarm robotics is a field of robotics that studies the behavior of large groups of relatively simple robots that work together to accomplish a task. Swarm robots can be used for computation in various ways. For example, they can be used to solve problems that are too complex for a single robot to handle, such as path planning, object recognition, and environmental monitoring. Swarm robots can also be used to perform distributed computing tasks, such as data processing, data storage, and data transmission. In addition, swarm robots can be used to simulate complex systems, such as biological systems, social systems, and ecological systems. Swarm robotics is an exciting and rapidly growing field that has the potential to revolutionize the way we think about computation and robotics.<ref></ref>	+	Swarm robotics is a field of robotics that studies the behavior of large groups of relatively simple robots that work together to accomplish a task. Swarm robots can be used for computation in various ways. For example, they can be used to solve problems that are too complex for a single robot to handle, such as path planning, object recognition, and environmental monitoring. Swarm robots can also be used to perform distributed computing tasks, such as data processing, data storage, and data transmission. In addition, swarm robots can be used to simulate complex systems, such as biological systems, social systems, and ecological systems. Swarm robotics is an exciting and rapidly growing field that has the potential to revolutionize the way we think about computation and robotics.<ref>Cindy Calderón-Arce _2,''Swarm Robotics: Simulators, Platforms and Applications Review'' </ref>

	Swarm robotics can be used for computation in a variety of applications, such as agriculture, environmental monitoring, search and rescue, and military operations. For example, swarm robots can be used to monitor crop growth and detect pests and diseases in agricultural fields. They can also be used to monitor air and water quality in the environment, and to search for and rescue people in disaster zones. In military operations, swarm robots can be used for reconnaissance, surveillance, and target acquisition 12.		Swarm robotics can be used for computation in a variety of applications, such as agriculture, environmental monitoring, search and rescue, and military operations. For example, swarm robots can be used to monitor crop growth and detect pests and diseases in agricultural fields. They can also be used to monitor air and water quality in the environment, and to search for and rescue people in disaster zones. In military operations, swarm robots can be used for reconnaissance, surveillance, and target acquisition 12.

← Older revision		Revision as of 05:24, 16 November 2023
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−	Swarm robotics is a field of robotics that studies the behavior of large groups of relatively simple robots that work together to accomplish a task. Swarm robots can be used for computation in various ways. For example, they can be used to solve problems that are too complex for a single robot to handle, such as path planning, object recognition, and environmental monitoring. Swarm robots can also be used to perform distributed computing tasks, such as data processing, data storage, and data transmission. In addition, swarm robots can be used to simulate complex systems, such as biological systems, social systems, and ecological systems. Swarm robotics is an exciting and rapidly growing field that has the potential to revolutionize the way we think about computation and robotics 12.	+	Swarm robotics is a field of robotics that studies the behavior of large groups of relatively simple robots that work together to accomplish a task. Swarm robots can be used for computation in various ways. For example, they can be used to solve problems that are too complex for a single robot to handle, such as path planning, object recognition, and environmental monitoring. Swarm robots can also be used to perform distributed computing tasks, such as data processing, data storage, and data transmission. In addition, swarm robots can be used to simulate complex systems, such as biological systems, social systems, and ecological systems. Swarm robotics is an exciting and rapidly growing field that has the potential to revolutionize the way we think about computation and robotics.<ref></ref>

	Swarm robotics can be used for computation in a variety of applications, such as agriculture, environmental monitoring, search and rescue, and military operations. For example, swarm robots can be used to monitor crop growth and detect pests and diseases in agricultural fields. They can also be used to monitor air and water quality in the environment, and to search for and rescue people in disaster zones. In military operations, swarm robots can be used for reconnaissance, surveillance, and target acquisition 12.		Swarm robotics can be used for computation in a variety of applications, such as agriculture, environmental monitoring, search and rescue, and military operations. For example, swarm robots can be used to monitor crop growth and detect pests and diseases in agricultural fields. They can also be used to monitor air and water quality in the environment, and to search for and rescue people in disaster zones. In military operations, swarm robots can be used for reconnaissance, surveillance, and target acquisition 12.

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 Swarm robotics can be used for computation in a variety of applications, such as agriculture, environmental monitoring, search and rescue, and military operations. For example, swarm robots can be used to monitor crop growth and detect pests and diseases in agricultural fields. They can also be used to monitor air and water quality in the environment, and to search for and rescue people in disaster zones. In military operations, swarm robots can be used for reconnaissance, surveillance, and target acquisition 12.
-Swarm robotics is a fascinating and rapidly evolving field that has the potential to transform the way we think about computation and robotics. If you’re interested in learning more about swarm robotics, I recommend checking out the resources available at 1 and 2.===Decision Making===
+Swarm robotics is a fascinating and rapidly evolving field that has the potential to transform the way we think about computation and robotics. If you’re interested in learning more about swarm robotics, I recommend checking out the resources available at 1 and 2.
 These behaviors allow the robots in a swarm to take a common choice on a given issue.
 * '''Consensus''' allows the individual robots in the swarm to agree on or converge toward a single common choice from several alternatives.