In this paper, a fuzzy logic controller was design and develop to control the temperature, relative humidity and Carbon Dioxide (CO₂) inside the prototype tomato growth chamber. The model was develop to automatically adjust the inside parameters to obtain the optimum tomato plant environment condition. The growth chamber fuzzy logic controller was modeled using the MATLAB fuzzy logic tool box. In this research we design a fuzzy logic controller (FLC) to control the environment parameters in the growth chamber. In order to provide the most suitable conditions for the growth of the tomato plant and might minimize energy consumption.

—Certain missions require multiple mobile robots working together to accomplish it There is a need, howev

Constant demand for sustainable mechanisms to perform heavy and risky tasks has driven more robotics innovations to arise. Modular reconfigurable robotics system is one of these promising technologies that are continuously explored. Homogeneous types, to be specific, can accomplish similar missions at the same time as individual and heavier missions as an integrated system. This paper presents an analysis of the carrying capacity of a six-wheeled modular multi-agent system using the symbiotic model. The objective is to determine the resulting symbiotic relationship of a given configuration and module state combinations. The results show that the dominant relationship among the trials for linear traversal mission is commensalism. That means, the system neither benefits nor gets harmed from the symbiosis formed. This is true both in simulated and actual test environments although the percentage difference is about 12%. MATLAB Simulink was used for simulation while Maqueen robot in a 3D-printed chassis was used for actual testing. With this study, future configurations for several other missions such as object tracking and ramp climbing can be assessed using the same approach so that possible fault occurrence during operations can be prevented since the developed analysis method is performed prior to the deployment of the system.

This paper presents the modelling and simulation of a six wheeled three body modular robot in MATLAB Simulink. The modules are modelled as an independent differential drive wheeled mobile robot. Velocity and distance were measured using three different configurations: two wheel, four wheel and six wheel configuration. The simulation result was able to predict the response of the modular body in different configurations in terms of velocity and distance with contact forces acting upon it.

This paper presentsthe application of a symbiotic approachin a modular mobile robot. This characteristic behavior might help addressthe challengesin modular reconfigurable robotoperation. The general model symbiosisalgorithm will help decide if the modular part is harmful or beneficial to the performance or task of the robotic systemthru the carrying capacity. The symbiotic behavior is presented and implemented in this paper viamodel-baseddesign with the aid of MATLABSimulink using a 6 wheeled mobile robot with 3 modular body to identify the carrying capacity of the system.Carrying capacity istranslated and used as thedistance and velocity capacity of the design model robotic system.Carrying capacity is greatly influence by the number species or in our case modules it is shown in this paper that carrying capacity are not fixed in quantities but should be consider as functions of the population sizesand function. The mathematical formulation of the idea is to investigate its consequence. Aside from the population size role or interaction.

Dispatching goods is becoming more difficult to manage in the field of logistics due to the high demand for order shipments. This is related to the increasing popularity of the use of e-commerce platforms by consumers, where products are required to be delivered rather than being bought in physical stores. Dispatch management is one of the critical components in a supply chain since it covers the coordination of tasks among stakeholders from the warehouse to the consumer’s doorstep. In this study, the authors propose a framework leveraging geographic information to sustain logistics operations, specifically in terms of managing last-mile delivery and return trip orders. This includes scheduling, communications, and the inventorying of the shipment status of goods. A mobile application built on this framework was integrated with a waypoint order optimization algorithm considering an entire route that traverses all the required pick-up and delivery points. It was pilot tested with an actual dispatch operation of a logistics company, yielding decreases of 92% and 43% in the average turnaround time and carbon footprint per completed service request, respectively, a decrease of 57% in operations cost, and an increase of 72% in profit. With the adoption of this framework, this study aims to contribute to the overall efficiency and sustainability of logistics operations in a wider geographic range.