A Swarm Robotics Approach to Task Allocation under Soft Deadlines and Negligible Switching Costs

2014 ◽  
pp. 270-279 ◽  
Author(s):  
Yara Khaluf ◽  
Mauro Birattari ◽  
Heiko Hamann
Keyword(s):  
Task Allocation ◽  
Swarm Robotics ◽  
Switching Costs

scholarly journals A Study on Various Task-Work Allocation Algorithms in Swarm Robotics

2020 ◽  
Vol 2 (2) ◽  
pp. 123-134
Author(s):  
Annamalai .L ◽  
Mohammed Siddiq. M ◽  
Ravi Shankar. S ◽  
Vigneshwar .S
Keyword(s):  
Mobile Robots ◽  
Swarm Intelligence ◽  
Task Allocation ◽  
Swarm Robotics ◽  
Entire System ◽  
Complex Tasks ◽  
Work Allocation ◽  
Allocation Algorithms

This paper discusses the various task allocation algorithms that have been researched, analyzed, and used in swarm robotics. The main reason for switching over to swarm robotics from ordinary mobile robots is because of its ability to perform complex tasks co-operatively with other bots rather than individually. Furthermore, they can be scaled to perform any kind of tasks. To carry out tasks like foraging, surveying and other such tasks that require swarm intelligence, task allocation plays an important role. It is the crux of the entire system and plays a huge role in the success of the implementation of swarm robotics. Few algorithms that address this task allocation have been briefly discussed here.

Self-organized task allocation to sequentially interdependent tasks in swarm robotics

2012 ◽  
Vol 28 (1) ◽  
pp. 101-125 ◽  
Author(s):  
Arne Brutschy ◽  
Giovanni Pini ◽  
Carlo Pinciroli ◽  
Mauro Birattari ◽  
Marco Dorigo
Keyword(s):  
Task Allocation ◽  
Swarm Robotics ◽  
Self Organized

Evolutionary Acquisition of Autonomous Specialization in a Path-Formation Task of a Robotic Swarm

2018 ◽  
Vol 22 (5) ◽  
pp. 621-628 ◽  
Author(s):  
Motoaki Hiraga ◽  
Toshiyuki Yasuda ◽  
Kazuhiro Ohkura ◽  
◽  
Keyword(s):  
Collective Behavior ◽  
Task Allocation ◽  
Swarm Robotics ◽  
Local Environment ◽  
Coarse Grained ◽  
Neural Network Controller ◽  
Network Controller ◽  
Robotic Swarm ◽  
Limited Sensing

Task allocation is an important concept not only in biological systems but also in artificial systems. This paper reports a case study of autonomous task allocation behavior in an evolutionary robotic swarm. We address a path-formation task that is a fundamental task in the field of swarm robotics. This task aims to generate the collective path that connects two different locations by using many simple robots. Each robot has a limited sensing ability with distance sensors, a ground sensor, and a coarse-grained omnidirectional camera to perceive its local environment and the limited actuators composed of two colored LEDs and two-wheeled motors. Our objective is to develop a robotic swarm with autonomous specialization behavior from scratch, by exclusively implementing a homogeneous evolving artificial neural network controller for the robots to discuss the importance of embodiment that is the source of congestion. Computer simulations demonstrate the adaptive collective behavior that emerged in a robotic swarm with various swarm sizes and confirm the feasibility of autonomous task allocation for managing congestion in larger swarm sizes.

Communication optimization for efficient dynamic task allocation in swarm robotics

2021 ◽  
pp. 107297
Author(s):  
Nadia Nedjah ◽  
Luigi Maciel Ribeiro ◽  
Luiza de Macedo Mourelle
Keyword(s):  
Task Allocation ◽  
Swarm Robotics ◽  
Communication Optimization ◽  
Dynamic Task ◽  
Dynamic Task Allocation

Reduction in Switching Costs for Difficult Tasks With Task Priming

2004 ◽  
Author(s):  
Padmanabhan Sudevan ◽  
John Holmes ◽  
Amber Corry ◽  
Jeffrey Willems ◽  
Marisa Hoffman ◽  
...  
Keyword(s):  
Switching Costs
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