Percorrer por autor "Nakano, Alberto Yoshiro"
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- 3D Simulator based on simTwo to evaluate algorithms in micromouse competitionPublication . Eckert, Lucas; Piardi, Luis; Lima, José; Costa, Paulo Gomes da; Valente, António; Nakano, Alberto YoshiroRobotics competitions are increasing in complexity and number challenging the researchers, roboticists and enthusiastic to address the robot applications. One of the well-known competition is the micromouse where the fastest mobile robot to solve a maze is the winner. There are several topics addressed in this competition such as robot prototyping, control, electronics, path planning, optimization, among others. A simulation can be used to speed-up the development and testing algorithms but faces the gap between the reality in the dynamics behaviour. In this paper, an open source realistic simulator tool is presented where the dynamics of the robot, the slippage of the wheels, the friction and the 3D visualization can be found. The complete simulator with the robot model and an example is available that allow the users to test, implement and change all the environment. The presented results validate the proposed simulator.
- 3D Simulator with hardware-in-the-loop capability for the micromouse competitionPublication . Piardi, Luis; Eckert, Lucas; Lima, José; Costa, Paulo Gomes da; Valente, António; Nakano, Alberto YoshiroRobotics competitions are a way to challenge researchers, roboticists and enthusiastic to address robot applications. One of the well-known international competition is the Micromouse where the fastest mobile robot to solve a maze is the winner. There are several topics addressed in this competition such as robot prototyping, control, electronics, path planning, optimization, among others while keeping the size of the robot as small as possible. A simulation can be used to speed-up the development and testing algorithms but faces the gap between a simulation and reality, specially in the dynamics behaviour. There are some simulation environments that allow to simulate the Micromouse competition, but in this paper, an Hardware-in-the-loop simulator tool is presented where the simulated robot is controlled by the same microcontroller used by the robot. By this way, the developed algorithms are tested and validated with the limitations and constraints presented in the real hardware, such as memory and processing capabilities. The robot dynamics, the slippage of the wheels, the friction and the 3D visualization are present in the simulator. The presented results show that the same code and hardware controlling the simulated and the real robot identically.
- A* search algorithm optimization path planning in mobile robots scenariosPublication . Lima, José; Costa, Pedro; Costa, Paulo Gomes da; Eckert, Lucas; Piardi, Luis; Moreira, António Paulo G. M.; Nakano, Alberto YoshiroPath planning for mobile robotics in unknown environments or with moving obstacles requires re-planning paths based on information gathered from the surroundings. Moving obstacles and real time constraints require fast computing to navigate and make decisions in a mobile robot. This paper addresses an optimization approach to compute, with real time constraints, the optimal path for a mobile robot based on a dynamically simplified A* search algorithm with a commitment on the available time.
- An AI-based object detection approach for robotic competitionsPublication . Pilarski, Leonardo; Luiz, Luiz Eduardo; Braun, João; Nakano, Alberto Yoshiro; Pinto, Vítor H.; Costa, Paulo Gomes da; Lima, JoséArtificial Intelligence has been introduced in many applications, namely in artificial vision-based systems with object detection tasks. This paper presents an object localization system with a motivation to use it in autonomous mobile robots at robotics competitions. The system aims to allow robots to accomplish their tasks more efficiently. Object detection is performed using a camera and artificial intelligence based on the YOLOv4 Tiny detection model. An algorithm was developed that uses the data from the system to estimate the parameters of location, distance, and orientation based on the pinhole camera model and trigonometric modelling. It can be used in smart identification procedures of objects. Practical tests and results are presented, constantly locating the objects and with errors between 0.16 and 3.8 cm, concluding that the object localization system is adequate for autonomous mobile robots.
- A comparison of A* and RRT* algorithms with dynamic and real time constraint scenarios for mobile robotsPublication . Braun, João; Brito, Thadeu; Lima, José; Costa, Paulo Gomes da; Costa, Pedro; Nakano, Alberto YoshiroThere is an increasing number of mobile robot applications. The demanding of the Industry 4.0 pushes the robotic areas in the direction of the decision. The autonomous robots should actually decide the path according to the dynamic environment. In some cases, time requirements must also be attended and require fast path planning methods. This paper addresses a comparison between well-known path planning methods using a realistic simulator that handles the dynamic properties of robot models including sensors. The methodology is implemented in SimTwo that allows to compare the A* and RRT* algorithms in different scenarios with dynamic and real time constraint scenarios.
- Indoor environment monitoring in search of gas leakage by mobile robotPublication . Braun, João; Piardi, Luis; Brito, Thadeu; Lima, José; Pereira, Ana I.; Costa, Paulo Gomes da; Nakano, Alberto YoshiroInspection based on mobile autonomous robots can assume an important role in many industries. Instead of having fixed sensors, the concept of assembling the sensors on a mobile robot that performs the scanning and inspection through a defined path is cheaper, configurable and adaptable. This paper describes a mobile robot, equipped with several gas sensors and a LIDAR device, that scans an established area by following a trajectory based on way-points searching for gas leakage and simultaneously avoid obstacles in the map. In other words, the robot follows the trajectory while the gas concentration is under a defined value and surrounding the obstacles. Otherwise, the autonomous robot starts the leakage search based on a search algorithm that allows to find the leakage position. The proposed methodology is verified in simulation based on a model of the real robot. The search test performed in a simulation environment allows to validate the proposed methodology.
- A neural network approach in WSN real-time monitoring system to measure indoor air qualityPublication . Brito, Thadeu; Lima, José; Biondo, Elias Junior; Nakano, Alberto Yoshiro; Pereira, Ana I.Indoor Air Quality (IAQ) pertains to the air quality within a specific space and is directly linked to the well-being and comfort of its occupants. In line with this objective, this research presents a real-time system dedicated to monitoring and predicting IAQ, encompassing both thermal comfort and gas concentration. The system initiates with a data acquisition, wherein a set of sensors captures environmental parameters and transmits this data for storage in a database. The measured parameters are analyzed by a neural network algorithm that predicts anomalies based on historical data. The neural network model generated predictions from 75.9% to 98.1% (depending on the parameter) of precision during regular situations. After that, a test with smoke in the same place was done to validate the model, and the results showed it could detect anomalies. Finally, prediction data are stored in a new database and displayed on a dashboard for monitoring in real-time measured and prediction data.
- Real-time monitoring and controlling of Internal parameters for smart buildingsPublication . Lima, José; Brito, Thadeu; Nakano, Alberto YoshiroHealth risks caused by air contamination have become increasingly worrying, especially when it comes to indoor air quality (IAQ), where there is a lot of concentration of gases such as carbon monoxide (CO), carbon dioxide (CO2) and volatile organic compounds (VOC), and it is where people spend the most part of the day. With that in mind, this article presents a research that is being done in the area of intelligent building automation, which aims to develop an IAQ monitoring and control system using internet of things (IoT) technology. For this, some sensor modules will be connected, such as the BME680 and the AMBIMATE MS4, to the ESP32 microcontroller that will send the collected information to the monitoring and data storage platforms using the Message Queuing Telemetry Transport (MQTT) data exchange protocol through of the Node-RED online tool. With this device, in addition to being able to monitor the internal parameters of the environment where it is installed, it will be possible to detect any adversity that may arise in the place and providing autonomously an output signal that can trigger an actuator capable of stabilizing the system, that is, without the need for any human action.
- Using a collaborative robot to the upper limb rehabilitationPublication . Fernandes, Lucas de Azevedo; Lima, José; Leitão, Paulo; Nakano, Alberto YoshiroRehabilitation is a relevant process for the recovery from dysfunctions and improves the realization of patient's Activities of Daily Living (ADLs). Robotic systems are considered an important field within the development of physical rehabilitation, thus allowing the collection of several data, besides performing exercises with intensity and repeatedly. This paper addresses the use of a collaborative robot applied in the rehabilitation field to help the physiotherapy of upper limb of patients, specifically shoulder. To perform the movements with any patient the system must learn to behave to each of them. In this sense, the Reinforcement Learning (RL) algorithm makes the system robust and independent of the path of motion. To test this approach, it is proposed a simulation with a UR3 robot implemented in V-REP platform. The main control variable is the resistance force that the robot is able to do against the movement performed by the human arm.
- A WSN real-time monitoring system approach for measuring indoor air quality using the internet of thingsPublication . Brito, Thadeu; Nakano, Alberto Yoshiro; Lima, JoséIndoor Air Quality (IAQ) describes the air quality of a room, and it refers to the health and comfort of the occupants. Typically, people spend around 90% of their time in indoor environments where the concentration of air pollutants and, occasionally, more than 100 times higher than outdoor levels. According to the World Health Organization (WHO), indoor air pollution is responsible for the death of 3.8 million people annually. It has been indicated that IAQ in residential areas or buildings is significantly affected by three primary factors, they are outdoor air quality, human activity in buildings, and building and construction materials. In this context, this work consists of a real-time IAQ system to monitor thermal comfort and gas concentration. The system has a data acquisition stage, captured by the WSN with a set of sensors that measures the data and send it to be stored on the InfluxDB database and displayed on Grafana. A Linear Regression (LR) algorithm was used to predict the behavior of the measured parameters, scoring up to 99.7% of precision. Thereafter, prediction data is stored on InfluxDB in a new database and displayed on Grafana. In this way, it is possible to monitor the actual measurement data and prediction data in real-time.