Swarm robotic behaviors and current applications
In swarm robotics multiple robots collectively solve problems by forming advantageous
structures and behaviors similar to the ones observed in natural systems, such as swarms of …
structures and behaviors similar to the ones observed in natural systems, such as swarms of …
Formation Techniques Used in Shape-Forming Microrobotic Systems with Multiple Microrobots: A Review
Multiple robots are used in robotic applications to achieve tasks that are impossible to
perform as individual robotic modules. At the microscale/nanoscale, controlling multiple …
perform as individual robotic modules. At the microscale/nanoscale, controlling multiple …
[PDF][PDF] An Artificial Hormone-based Algorithm for Production Scheduling from the Bottom-up.
This paper presents a model for supporting a production scheduling system with an artificial
hormone algorithm. The system consists of lots that have to undergo a number of processing …
hormone algorithm. The system consists of lots that have to undergo a number of processing …
[PDF][PDF] Bottom-Up Bio-Inspired Algorithms for Optimizing Industrial Plants.
Scheduling in a production plant with a high product diversity is an NP-hard problem. In
large plants, traditional optimization methods reach their limits in terms of computational …
large plants, traditional optimization methods reach their limits in terms of computational …
SymSwarm: A Two-Staged Decentralized Symmetrical Pattern Formation Paradigm for a Swarm of Mobile Robots
For several decades, cooperative control of autonomous mobile robots has been an active
research area with potential applications in dynamic areas such as agriculture, industrial …
research area with potential applications in dynamic areas such as agriculture, industrial …
Bees, Bats and Glowworms: Swarm Algorithms for Optimizing Industrial Plants from the Bottom-Up
The scheduling problem in production plants with diverse product ranges is NP-hard, posing
challenges in finding optimal solutions. To overcome this, we propose a novel approach …
challenges in finding optimal solutions. To overcome this, we propose a novel approach …
Check for Bees, Bats and Glowworms: Swarm Algorithms for Optimizing Industrial Plants from the Bottom-Up M. Umlauft, M. Gojkovic, K. Harshina, K. Majbour, and M …
M Umlauft - Agents and Artificial Intelligence: 15th International …, 2024 - books.google.com
The scheduling problem in production plants with diverse product ranges is NP-hard, posing
challenges in finding optimal solutions. To overcome this, we propose a novel approach …
challenges in finding optimal solutions. To overcome this, we propose a novel approach …
[PDF][PDF] Implementation and Analysis of the Artificial Bee Colony Swarm Algorithm
M Gojkovic - 2023 - kaernten-digital.at
Industry 4.0 has introduced new systems that are composed of entities capable of solving
tasks, making decisions, interacting and communicating with one another, and adapting to …
tasks, making decisions, interacting and communicating with one another, and adapting to …
[PDF][PDF] Artificial Bee Colony Algorithm: Bottom-Up Variants for the Job-Shop Scheduling Problem
The optimization of a job-shop scheduling problem, eg, in the semiconductor industry, is an
NP-hard problem. Various research work have shown us that agent-based modeling of such …
NP-hard problem. Various research work have shown us that agent-based modeling of such …
[PDF][PDF] SWARM ROBOTICS: Collective Decisions of Interacting Robots
G De Masi, E Ferrante - 72.52.166.148
Swarm robotics is an emerging field of robotics inspired by collective behaviour of social
insects (swarms). While the usage of single robots is well established, the use of group of …
insects (swarms). While the usage of single robots is well established, the use of group of …