International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
SWARM INTELLIGENCE FOR LOGISTICS CONTROLLING Sanket Nirmal1, Amit Pathare2 1 2
Assistant Professor, Department of Electronics & telecommunication, PRMITR, Badnera, Maharashtra, India Assistant Professor, Department of Electronics & telecommunication, PRMITR, Badnera , Maharashtra, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Swarm robotics technology is inspired by
robustness is promoted by redundancy and the absence of a leader. Scalability is the ability to perform well with different group sizes.
behaviour of insects how they work collaboratively to accomplish a task. Same concept we are using here to make the logistic management in warehouse efficient. Methodology involved is communication between the subordinates, Communication between the swarm bots and the master station having a central control over each bot, task allocation to each individual and to find best possible way to complete the task. They organize themselves according to priority of task and each individual of swarm can take its own decision with respect to the current status of other members to complete the given task. This system consists of swarm of 'n' robots that works in a centralized way to perform an allotted task to the swarm. Hence each robot in our system will have a trolley based lift and place mechanism. The robot will lift item and take it to the required destination and also can arrange it in required manner keeping the space constrains into consideration. As there is no human intervention in our system eventually the labour effort gets minimized. The whole system leads to the minimization of error and hence increases the reliability.
The introduction or removal of individuals does not result in a drastic change of the performance of a swarm. In social animals, scalability is promoted by local sensing and communication. Flexibility is the ability to cope with a broad spectrum of different environments and tasks. In social animals, flexibility is promoted by redundancy, simplicity of the behaviours and mechanisms such as task allocation. To explain how we can benefit from the properties of swarm robotics systems that make them appealing in several potential application domains. Swarm robotics have been involved in many tasks such as the ones demanding miniaturization, like distributed sensing tasks in micromachinery or the human body; those demanding cheap designs, such as mining task or agricultural foraging task; those requiring large space and time cost, and are dangerous to the human being or the robots themselves, such as postdisaster relief, target searching, military applications, etc. Hence the Swarm Intelligence technology can be the eminent change in the conventional methods of the executing tasks.
Key Words: Swarm Robots, Swarm intelligence,
2. PROBLEM STATEMENT
Cooperative control, Task allocation, Arduino
Logistics & warehouse management is one of the important process of the industrial flow control. Up till now the goods transport was done manually. The whole process faces problems of: 1. The accuracy of whole process is not, as required that is the goods item may get misplaced. 2. The major issue is of time & efficiency required in the process 3. Cost and the manpower behind process is comparatively high. 4. Possibility of damage is greater due to human error. 5. Technical failure in process may cause setbacks. 6. The logistical concept for future operations, domestic or international, needs to be able to Support the modular based force concept “from factory to foxhole”.
1. INTRODUCTION Swarm robotics is currently one of the most important application areas for swarm intelligence. Swarms provide the possibility of enhanced task performance, high reliability (fault tolerance), low unit complexity and decreased cost over traditional robotic systems. They can accomplish some tasks that would be impossible for a single robot to achieve. Swarm robots can be applied to many fields, such as flexible manufacturing systems, space crafts, inspection/maintenance, construction, agriculture and medicine work. Swarm robotics is the study of how large number of relatively simple physically embodied agents can be designed such that a desired collective behaviour emerges from the local interactions among agents and between the agents and the environment. It is a novel approach to the coordination of large numbers of robots. It is inspired from the observation of social insects’ ants, termites, wasps and bees which stand as fascinating examples of how a large number of simple individuals can interact to create collectively intelligent systems. Robustness is the ability to cope with the loss of individuals. In social animals,
© 2017, IRJET
|
Impact Factor value: 5.181
3. LITERATURE REVIEW Researches in this area of swarm robotics have drafted three types object manipulation method which are namely grasping, pushing and caging. In grasping, all robots are arranged so that the total robots system is grasping the
|
ISO 9001:2008 Certified Journal
| Page 2361