Robotic Swarm Construction
2. The number of robots is unknown and changes during a project. Moreover, the order and timing of their actions are not predictable. So, the algorithms should be programmed to handle the variability.
3. Individual robots of a swarm lack the abilities available to more sophisticated robots.
4. The most significant challenge is connecting the low-level behaviour of the individual robots with the high-level behaviour of the swarm. The trademark of complex systems of respective agents is the collective behaviour that emerges from their joint actions. However, there is no way to predict what the collective behaviour will be like beforehand.
Advantages & Disadvantages
1. Increased performance: If tasks can be decomposed by parallelism, groups can make tasks to be done more effectively.
2. Enabling tasks: Groups of robots can perform specific functions that are impossible for a single robot.
3. Dispersed action: A group of robots will operate at the same time in various locations.
4. Fault tolerance: The malfunction of a single robot within a community does not mean that the mission cannot be completed due to the redundancy of the device.
1. Interference: Robots in a group can interfere with each other due to collisions, occlusions, and so on.
2. Confusion concerning other robots' intentions: Cooperation includes the knowledge of what other robots are doing. If this is not obvious, robots will compete instead of cooperating.
The Real World Application :Presently, there is no commercial application of the robotic swarm construction; the reasons being as follows:
1. No proper algorithm.
2. Lack of infrastructure and research facilities.
3. Analysis and modelling: Swarm-robotic processes are typically stochastic, non-linear, making statistical simulations difficult for validation and optimisation.
Swarm robots can perform tasks in which the primary purpose is to cover a large area. Robots will scatter and execute surveillance activities. It may be instrumental in tracking dangerous incidents, such as contamination of toxic material.
The number of possible applications is auspicious, but the technology must still be developed in the algorithmic, modelling, and miniaturisation.