Optimal mechanical design of the UV-radiation tower for Phoenix robot at the AIS – An extendable UV-radiation module for disinfecting plants

One of the practical methods for treating powdery mildew is to use a UV lighting system carried by an autonomous robot. The height of the plants can be different from one greenhouse to another or even within the same greenhouse. Hence, having a varying-height UV lighting system would be essential. . To enhance the robot's efficiency in treating plants in narrow regions found in greenhouses, we propose to design a motorized and extendable UV lighting module. A control system would adjust the height of the UV lighting module to expose the upper parts of plants accordingly.

MBSE for Modeling, Evaluation, and Optimization of Modular Robotic Systems: Case Study on AIS

Since 1960, System engineering has been used as an approach for multidisciplinary and concurrent design of complex systems. It relies on a system-centered thinking to solve problems and different design process models have been used for system engineering such as V-model. Model-based System engineering (MBSE) was developed to replace documents with models.AIS is developing mobile robots for different markets. Mobile robots are very complex systems in nature with a large number of interacting components.

Design and Optimization of the product platform for AIS mobile robots

AIS Inc. is at the forefront of developing practical mobile robots for various markets. Mobile robots are considered as very complex systems comprising of hundreds of interacting components in complex system architectures. Developing such complex robotic systems, particularly in large scale, requires a coherent collaboration and engagement on various specialized areas. All of the complex products which are under development in AIS, have many Common Elements (CE) both in their system anatomy (e.g.

Smart disinfection in a nosocomial setting: Requirements capture and operation design.

In hospitals, surface disinfection is critical in reducing the spread of disease and the risk of nosocomial infection. In research institutions, where disinfection practices are less rigorous, fomite control is critical in keeping students, faculty and staff safe. Ultraviolet germicidal irradiation (UVC) is an effective disinfection technology that is widely used in hospitals but relies on manual operators.

Investigation on a scalable platform for modular robotic systems development: Case study on AISCartPuller robot

AIS Inc. is at the forefront of developing practical mobile robots for various markets. Mobile robots are considered as very complex systems comprising of hundreds of interacting components in complex system architectures. Developing such complex robotic systems, particularly in large scale, requires a coherent collaboration and engagement on various specialized areas such as scientific research, robot production, hardware and software module production, service providing, sales and marketing, and regulation and compliance.

Path planning, Navigation, and Control of the tractor-trailer type Autonomous Vehicles at the Advanced Intelligent Systems (AIS)

The project's overall objective is to design, develop, and implement path planning and object avoidance algorithms for an autonomous Cart Puller (Tractor-Trailer) vehicle, developed by Advanced Intelligent Systems (AIS) Inc. Cart puller is an autonomous tractor-trailer type vehicle designed to operate in out-door and in-door nursery farms and greenhouses efficiently. They are used for moving planted pots fully autonomously. The Robotic Operating System (ROS) and STM32 microcontroller will be used to develop the high-level and machine-level control strategies, respectively.

Design and development of a SLAM algorithm for the tractor-trailer type vehicle at the AIS

The objective is to develop a Simultaneous Localization and Mapping (SLAM) algorithm to be implemented on the tractor-trailer type vehicle used in the AIS called a Cart Puller. This vehicle is to work fully autonomously in a nursery farm, while carrying planted pots (loaded onto the plant carts) toward their loading stations. By using SLAM, the robot will be able to detect static and dynamic obstacles in the nursery, localize itself within a digital representation of the environment, i.e., a map, and simultaneously update this map using the sensors on board the cart puller.

Sensor-based Collision-Free Motion Planning and Control for Autonomous Cart Pullers at Advanced Intelligent Systems (AIS)

The objective is to develop and implement safe navigation algorithms and frameworks for autonomous cart pullers that are supposed to move planted pots on carts within an unknown and dynamically-changing environment in plant nurseries. The cart puller operation needs to be done safely in an environment that is shared by other vehicles, nursery utilities such as planted pots, and human operators.

Perception, Mapping and Planning for Autonomous Indoor Cart Pullers in Plant Nurseries and Greenhouses

The project revolves around automation in nursery farms and greenhouses. The goal is to deliver planted pots using autonomous unmanned systems. Planted pots will be loaded/unloaded to/from plant carts using a small robot called BigTop, designed and developed at the supporting organization, AIS. Motion planning, control, and navigation algorithms will be developed through this project for a mother vehicle, equipped with a myriad of on board sensors, to move plant carts to their goal position in the nursery farms/greenhouse without any human intervention.

Study and Development of Energy-efficient Collaborative AI Technologies in Greenhouse Nursery Robotic Systems

The proposed project aims to address several challenges that the nursery robots made by AIS Inc. is grappling with. The project tasks are divided into two subprojects: 1) optimizing the electrical and control systems for the AIS robots, and 2) designing a multi-agent system to allow collaboration among the robots. The first subproject consists of estimating the state of charge of the robot's battery, and designing and building appropriate self-tuning PID controller for the motor drives installed in robots.