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Journal articles on the topic 'BNO055'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

Febriawan, Anggit, and Wahyu Sapto Aji. "Rotating Control on Robots Indonesian Abu Robot Contest with PID and IMUBNO055 Controls." Buletin Ilmiah Sarjana Teknik Elektro 2, no. 1 (2020): 14. http://dx.doi.org/10.12928/biste.v1i3.987.

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One of the problems solved in robot control is that the required robot movement system can be moved efficiently. Controls used to increase the efficiency of robot motion are the PID (Proportional-Integral-Derivative) Control and the IMU BNO055 sensor. The concept used by the robot to be able to rotate to a certain angle entered the desired angle, then read the sensor angle BNO055 then the results of the sensor readings are sent to Arduino to then provide a signal to drive the motor. The results of research that has been done, the robot can display an angle of 0o and 180o in accordance with the

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2

Kurnia, Mirza Sjahrul, Agus Pracoyo, and Leonardo Kamajaya. "Kontrol PID untuk Navigasi Robot Berkaki Berbasis Sensor TOF dan BNO055." Jurnal Elektronika dan Otomasi Industri 10, no. 3 (2023): 462–70. http://dx.doi.org/10.33795/elkolind.v10i3.1952.

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Perkembangan dalam bidang teknologi semakin cepat khususnya dibidang robotika. Dalam klasifikasinya, robot terbagi berdasarkan actuator penggeraknya yaitu robot beroda dan juga robot berkaki (legged). Pada robot berkaki, terdapat sebuah tantangan dimana robot harus dapat berjalan lurus di lintasan dimana tidak terdapat dinding penuntun. Penelitian ini bertujuan untuk mengembangkan robot hexapoda yang dapat berjalan lurus menggunakan metode kontrol PID. Pengujian dilakukan dengan mengukur jarak tempuh robot dalam lintasan lurus sejauh 5 meter. Robot dikendalikan oleh mikrokontroler dengan algor

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3

Muñoz-Poblete, Carlos, Cristian González-Aguirre, Robert H. Bishop, and David Cancino-Baier. "IMU Auto-Calibration Based on Quaternion Kalman Filter to Identify Movements of Dairy Cows." Sensors 24, no. 6 (2024): 1849. http://dx.doi.org/10.3390/s24061849.

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This work is focused on developing a self-calibration algorithm for an orientation estimation of cattle movements based on a quaternion Kalman filter. The accelerometer signals in the earth’s frame provide more information to confirm that the cow is performing a jump to mount another cow. To obtain the measurements in the earth’s frame, we propose a self-calibration method based on a strapdown inertial navigation system (SINS), which does not require intervention by the user once deployed in the field. The self-calibration algorithm uses a quaternion-based Kalman filter to predict the angular

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Thavitchasri, Phummarin, Dechrit Maneetham, and Padma Nyoman Crisnapati. "Intelligent Surface Recognition for Autonomous Tractors Using Ensemble Learning with BNO055 IMU Sensor Data." Agriculture 14, no. 9 (2024): 1557. http://dx.doi.org/10.3390/agriculture14091557.

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This study aims to enhance the navigation capabilities of autonomous tractors by predicting the surface type they are traversing using data collected from BNO055 Inertial Measurement Units (IMU sensors). IMU sensor data were collected from a small mobile robot driven over seven different floor surfaces within a university environment, including tile, carpet, grass, gravel, asphalt, concrete, and sand. Several machine learning models, including Logistic Regression, K-Neighbors, SVC, Decision Tree, Random Forest, Gradient Boosting, AdaBoost, and XGBoost, were trained and evaluated to predict the

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Friti Maydevanti, Yesa, and Nuryono Satya Widodo. "IMU sensor based home search method using backtracking algorithm on hexapod robot in Indonesia fire extinguisher robot contest." Signal and Image Processing Letters 3, no. 1 (2023): 36–46. https://doi.org/10.31763/simple.v3i1.42.

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Abstract-This paper describes the IMU sensor-based home search using a backtracking algorithm on a hexapod robot in the Indonesian fire fighting robot contest. The search for the homepage in this Indonesian legged robot contest is part of the robot's mission to achieve maximum points in the race. The algorithm discussed in this paper is a backtracking algorithm. Where the robot will return to the initial position by tracing solutions that meet the requirements. By using the IMU BNO055 sensor the robot will follow the direction that will depart then will guide the robot back to its home positio

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6

Fu, Yu Kit, Xi Li, and Rami Ghannam. "Enhancing Tennis Practice: Sensor Fusion and Pose Estimation with a Smart Tennis Ball." Sensors 24, no. 16 (2024): 5306. http://dx.doi.org/10.3390/s24165306.

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This article demonstrates the integration of sensor fusion for pose estimation and data collection in tennis balls, aiming to create a smaller, less intrusive form factor for use in progressive learning during tennis practice. The study outlines the design and implementation of the Bosch BNO055 smart sensor, which features built-in managed sensor fusion capabilities. The article also discusses deriving additional data using various mathematical and simulation methods to present relevant orientation information from the sensor in Unity. Embedded within a Vermont practice foam tennis ball, the f

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Tran, Hoang T., Dong L. T. Tran, Vinh Q. Nguyen, Hai T. Do, and Minh T. Nguyen. "A Novel Framework of Modelling, Control, and Simulation for Autonomous Quadrotor UAVs Utilizing Arduino Mega." Wireless Communications and Mobile Computing 2022 (August 19, 2022): 1–17. http://dx.doi.org/10.1155/2022/3044520.

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In recent decades, there has been a constant increase in the use of unmanned aerial vehicles (UAVs). There has also been a huge growth in the number of control algorithms to support the many applications embodied by the vehicles, including challenges and open issues to develop. This paper focuses on three major classes of control methods applied to quadrotors in order to create an open-source model based on the Arduino Mega that allows for the derivation and design of quadrotor control strategies. We consider the perspective classes, including linear, nonlinear, and intelligent methods represe

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8

Bayu, Ikrof, and M. Syarieffuddien Zuhrie. "Body Balancing Control System for Quadruped Robot While Walking on Uphill and Downhill Road Using Fuzzy." INAJEEE Indonesian Journal of Electrical and Eletronics Engineering 8, no. 1 (2024): 9–16. https://doi.org/10.26740/inajeee.v8n1.p9-16.

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The development of robotics in Indonesia is growing rapidly, especially in the field of robotic legs. In the Indonesian SAR robot competition there is an obstacle that is a sloping road that consists of a uphill road and downhill road. The problem with quardruped robots is the use of walking gaits that can only be used on flat fields, so they can not be used directly on sloping roads. The researchers designed a quardruped robot body balance control system using the fuzzy logic method, STM32F4 Discovery and Arduino nano as its controllers, the BNO055 IMU module as its sensor and the Dynamixel M

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9

Pardawantara, Meiko, Fery Antony, and Rachmansyah. "PERANCANGAN SISTEM SOLAR TRACKING DUAL AXIS UNTUK OPTIMASI PANEL SURYA MENGGUNAKAN SENSOR LDR DAN GYROSCOPE BERBASIS INTERNET OF THINGS (IOT)." Journal of Intelligent Networks and IoT Global 1, no. 2 (2023): 98–106. http://dx.doi.org/10.36982/jinig.v1i2.3645.

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Sistem instalasi solar tracking dual axis merupakan sebuah sistem yang mampu untuk menggerakkan panel surya untuk selalu mengikuti pergerakan dari sumber cahaya secara otomatis. Pergerakan dari sistem solar trackingdual axis memiliki dua arah pergerakan yaitu secara horizontal dan vertical. Tujuan dari penelitian ini adalah menghasilkan sistem instalasi solar tracking dual axis yang mampu menggerakkan panel surya secara otomatis agar selalu dapat mengikuti gerak dari sumber cahaya. Sistem ini dilengkapi dengan sensor light dependent resistor yang mampu mendeteksi sumber cahaya, sensor BNO055 (

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10

Salsabila, Zahra, and Nuryono Satya Widodo. "Implementation of Behavior Based Robotics on Hexapod Legged Robot Based on Room Mapping." Control Systems and Optimization Letters 1, no. 3 (2023): 144–50. http://dx.doi.org/10.59247/csol.v1i3.55.

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The Indonesian Fire Fighting Robot Contest (KRPAI) has a mission to extinguish fires quickly, with various kinds of points and bonuses to be taken. The robot used in this research is a 6-legged robot (Hexapod). The problem faced today is the robot's ability to navigate the room, the robot still has to enter the same room, especially in room 1 (a room with 2 doors) so that the Arbitrary Start bonus or Variable Door location which prohibits the robot from entering the same room cannot be obtained. There is also a Room Factor bonus obtained using the JTS (Segment Distance) method which is an addi

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11

Dellai, Jason, Martine A. Gilles, Olivier Remy, Laurent Claudon, and Gilles Dietrich. "Development and Evaluation of a Hybrid Measurement System to Determine the Kinematics of the Wrist." Sensors 24, no. 8 (2024): 2543. http://dx.doi.org/10.3390/s24082543.

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Optical Motion Capture Systems (OMCSs) are considered the gold standard for kinematic measurement of human movements. However, in situations such as measuring wrist kinematics during a hairdressing activity, markers can be obscured, resulting in a loss of data. Other measurement methods based on non-optical data can be considered, such as magneto-inertial measurement units (MIMUs). Their accuracy is generally lower than that of an OMCS. In this context, it may be worth considering a hybrid system [MIMU + OMCS] to take advantage of OMCS accuracy while limiting occultation problems. The aim of t

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12

Thavitchasri, Phummarin, Dechrit Maneetham, and Padma Nyoman Crisnapati. "Optimizing machine learning models for tractor surface recognition: Performance and model size reduction for embedded systems." International Journal of Innovative Research and Scientific Studies 8, no. 3 (2025): 1205–21. https://doi.org/10.53894/ijirss.v8i3.6770.

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This research applied surface recognition in autonomous tractors is essential for efficient navigation across diverse terrains of asphalt, gravel, and soil by using machine learning models and processing data acquisition from the BNO055 IMU sensor. In addition, this aims to evaluate and optimize various machine learning models, including Logistic Regression, K-Nearest Neighbors (KNN), SVC, Decision Tree, Random Forest, Gradient Boosting, AdaBoost, and XGBoost, for surface classification, with a focus on reducing model size without sacrificing classification accuracy. The research applies model

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13

Omidalizarandi, M., I. Neumann, E. Kemkes, et al. "MEMS BASED BRIDGE MONITORING SUPPORTED BY IMAGE-ASSISTED TOTAL STATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 833–42. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-833-2019.

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Abstract. In this study, the feasibility of Micro-Electro-Mechanical System (MEMS) accelerometers and an image-assisted total station (IATS) for short- and long-term deformation monitoring of bridge structures is investigated. The MEMS sensors of type BNO055 from Bosch as part of a geo-sensor network are mounted at different positions of the bridge structure. In order to degrade the impact of systematic errors on the acceleration measurements, the deterministic calibration parameters are determined for fixed positions using a KUKA youBot in a climate chamber over certain temperature ranges. Th

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14

Liu, Chengkun, Tchamie Kadja, and Vamsy P. Chodavarapu. "Experimental Evaluation of Sensor Fusion of Low-Cost UWB and IMU for Localization under Indoor Dynamic Testing Conditions." Sensors 22, no. 21 (2022): 8156. http://dx.doi.org/10.3390/s22218156.

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Autonomous systems usually require accurate localization methods for them to navigate safely in indoor environments. Most localization methods are expensive and difficult to set up. In this work, we built a low-cost and portable indoor location tracking system by using Raspberry Pi 4 computer, ultra-wideband (UWB) sensors, and inertial measurement unit(s) (IMU). We also developed the data logging software and the Kalman filter (KF) sensor fusion algorithm to process the data from a low-power UWB transceiver (Decawave, model DWM1001) module and IMU device (Bosch, model BNO055). Autonomous syste

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15

Chaudhari, Rajesh, Om Pardeshi, Disha Chandak, Tanaya Barawkar, Harshvardhan Ovhal, and Gopal Dhanpalwar. "Hardness and Microstructure Analysis of Rotary Friction Welded Dissimilar Joint of Cu and Ti-6Al-4V." Key Engineering Materials 961 (October 11, 2023): 23–34. http://dx.doi.org/10.4028/p-bnon5c.

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In this paper, the effect of rotary friction welding on hardness and microstructures of weld zones and base metal zones of Ti-6Al-4V and Cu have been investigated. A rotary friction welding technique was used to perform dissimilar joining of Cu and Ti-6Al-4V bars. Friction welding process parameters were optimized process parameters of a 5-ton rotary friction welding machine. The upset pressures were applied from 30 kg/mm2, 40 kg/mm2 and 50 kg/mm2. The dissimilar joint was successfully formed at upset pressure of 50 kg/mm2. The friction welded joints were failed in drop test after welding at t

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16

Stanzani, Ronny, Paolo Dondero, Alfonso Mantero, and Marco Testa. "Measurement Accuracy of an Upper Limb Tracking System Based on Two Hillcrest Labs BNO080 IMU Sensors: An Environmental Assessment." IEEE Sensors Journal 20, no. 17 (2020): 10267–74. http://dx.doi.org/10.1109/jsen.2020.2992733.

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17

Hostanska, Katarina, Guido Jürgenliemk, Gudrun Abel, Adolf Nahrstedt, and Reinhard Saller. "Willow bark extract (BNO1455) and its fractions suppress growth and induce apoptosis in human colon and lung cancer cells." Cancer Detection and Prevention 31, no. 2 (2007): 129–39. http://dx.doi.org/10.1016/j.cdp.2007.03.001.

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18

Khan, Hassan, Ahmad Safuan A. Rashid, and Nazri Nasir. "Evaluation and Calibration of MEMS-IMU Sensors for Real-Time Landslide Detection and Monitoring System." Engineering Research Express, April 17, 2025. https://doi.org/10.1088/2631-8695/adce56.

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Abstract Landslide detection and monitoring are crucial for the development of effective early warning systems and risk mitigation strategies. Recent advancements in Micro-Electro-Mechanical Systems (MEMS)-based Inertial Measurement Units (IMUs) technology have emerged as a powerful tool for landslide detection and early warning. This study compares and calibrates MEMS-based IMU sensors for real-time landslide detection and monitoring systems. Three IMU devices—Pixhawk, MPU6050, and BNO055—were evaluated through a series of controlled laboratory experiments designed to assess their performance

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19

Cahyo, Anton Cahyo Saputro, Amang sudarsono Sudarsono, and Mike Yuliana Yuliana. "Multi-Layer Perceptron Neural Network Implementation as Train Type Classification." Indonesian Journal of Computer Science 12, no. 3 (2023). http://dx.doi.org/10.33022/ijcs.v12i3.3204.

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The purpose of train detection systems is to check that related track section is clear of vehicles before a train may be authorized to pass through a railroad. The detection of the train is important task for ensuring the safety of train traffic. Multi-layer Perceptron classifier, which consists of feedforward neural networks constructed of multiple layers of interconnected artificial neurons, proved to be effective for trainset class classification in this study. Using Raspberry Pi and IMU sensor BNO055, dynamic response of any train type interaction can be handled by windowing and Real Fast

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20

Zainal Abidin, Muhammad Irfan, Kamarulafizam Ismail, Fazila Mohd Zawawi, Omar Ehab Saad Ali Elabd, Abdalla Abdelmetaal, and Dr Nur Safwati Mohd Nor. "Evaluation of Autonomous Navigation and Path Accuracy for Unmanned Surface Vehicles Using IMU Sensor and GPS Data." Journal of Transport System Engineering, October 2, 2024. http://dx.doi.org/10.11113/jtse.v11.236.

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The development of autonomous systems for environmental monitoring is becoming increasingly important. This project focuses on creating a robotic marine vessel, Aqua Sense, for efficient water quality monitoring. Existing methods are often labour-intensive, time-consuming, and lack real-time data capability. The objective is to develop a robotic vessel with autonomous navigation for water quality applications. A comprehensive design approach, including a literature review and careful component selection, was employed. Key components include the Arduino Mega, Blue Robotics T200 thruster, Global

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