A low-cost MEMS accelerometer with $20k IMU performance – Introducing MEI Micro, Inc. This is a gamechanger… At Sensors Converge 2024, ipXchange chatted with Louis R. about MEI Micro’s award-winning navigation-grade 3-axis MEMS accelerometer. This is a world first, and it puts the performance of ultra-expensive IMU technology (usually reserved for aerospace-level applications) in the hands of startups and commercial design engineers. With MEI Micro’s team estimating that they have only identified 30% of the possible applications that this technology opens up, they want to hear from you, so head to the ipXchange website for the full report and to get connected. Keep designing! #sensor #IMU #accelerometer #MEMS #MEMSsensor #MEMSaccelerometer #electronics #navigationgradeIMU #electronicsengineering #disruptivetechnology #consumerelectronics #aerospace #robotics #robot #drone #autonomousvehicles #autonomousdriving #satellite
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EIC Engineering | Advanced Automation | Information Systems & Analytics | Ports & Terminals | Transportation | Infrastructure | Mining
Roboticists at the Italian Institute of Technology (IIT) have provided a sneak peek into the experimental area and preliminary validations of the world’s first jet-powered humanoid robot. Named iRonCub, the humanoid is equipped with four compact jet engines, which gives it the ability to fly and carry out advanced missions. The researchers think that the ability to fly may benefit these robots in specific applications, including disaster relief, as it is currently an unknown area of research for humanoids. The iCub has 53 degrees of freedom, nine in each hand and most in the upper torso. It is equipped with a full-body skin, force/torque sensors, cameras, microphones, gyros, accelerometers, and encoders in each joint. Moving to iRonCub, both versions feature four jet engines—two mounted on the arms and two on a jetpack attached to the robot’s back. Current experiments are focused on the iRonCub version 3. Significant modifications were made to the iCub’s hardware design to accommodate the external engines, including the creation of a new titanium spine and the addition of heat-resistant covers for protection. iRonCub3, equipped with jet engines, weighs approximately 154 pounds (70 kilograms). The turbines generate a maximum thrust of over 1000N, and the exhaust temperature can exceed 600 degrees Celsius. #humanoid #robotics #jetpropulsion #thermodynamics #disasterresponse https://lnkd.in/gxBPknzh
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Is NVIDIA changing the world? NVIDIA is at the forefront of AI robotics, transforming industries with advanced technologies: Jetson Platform: AI computing modules, including Jetson Nano, TX2, and Xavier, deliver high-performance processing for autonomous robots, drones, and edge devices, enabling real-time AI capabilities in compact, energy-efficient packages. Isaac Platform: Isaac SDK: For developing and deploying AI-powered robots with tools for simulation, navigation, and manipulation. Isaac Sim: A virtual environment for realistic training and testing of robots. Isaac ROS: Enhancing software development with integration into the Robot Operating System. Notable Implementations: Toyota’s Delivery Robots: Utilize Jetson for navigating and delivering packages autonomously. Kawasaki’s Industrial Robots: Leverage NVIDIA GPUs for real-time processing in smart factories. Healthcare Innovations: Collaborations on robots for patient monitoring and automated diagnostics. #NVIDIA #AI #Robotics #Jetson #Isaac #Automation #Innovation #FutureTech
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Fresh Graduate from Universitas Padjadjaran | Operation Planning & Activity Assurance at Medco E&P | Ex-Automation MHE at PT. Lastana Express Indoneisa | Ex-Automation Electrical Engineer at PT. South Pacific Viscose
I'm excited to share that my journal on the autonomous robot navigation project has been published and is accessible through the following link https://lnkd.in/gMXUV2jr . This research, titled "An Exploration of Autonomous Medical Robot Navigation Accuracy and Trajectory Precision with ROS Integrated Sensors", was presented at the 2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS). The study investigates the accuracy and precision of autonomous robot navigation by integrating sensors within the Robot Operating System (ROS). Using experimental methods, the study combines 2D-LiDAR, IMU, and Odometer sensors in ROS to enable the robot to autonomously scan, comprehend, and respond to its environment, with the goal of enhancing navigation accuracy and trajectory precision. Initial findings showcase an impressive accuracy level, with only slight errors in the initial scan of an empty room at 98.15%. However, in the second scan involving obstacles and a larger sample size, a decrease in scanning accuracy to 84.86% was observed. This research aims to provide valuable insights for the advancement of autonomous robot navigation, with the potential to enhance navigation accuracy robots.
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🚀 Excited to share the current phase of my project on autonomous navigation, as part of my final project at Ben Gurion University under the guidance of Elbit Systems! 🚀 I've developed a simple and effective algorithm for trajectory estimation using computer vision techniques, particularly optical flow, and IMU sensor data. The project is implemented in the ROS2 environment, ensuring robust and scalable integration with other autonomous systems. 🔍 Key features of the algorithm: - Assumes a camera directed towards the ground at a constant height for consistent and precise feature detection and tracking. - Utilizes a fisheye camera for wide-angle vision, which demands an accurate calibration process to correct distortion and calculate the camera's intrinsic parameters. - Integrates IMU data by transforming quaternion data into angle rotation. - Implements a Kalman Filter to accurately estimate the true state of the body. This project highlights the potential for integrating advanced computer vision techniques and sensor fusion in the development of robust autonomous systems using ROS2. Looking forward to further refining and expanding this work! Check out this video demonstrating the algorithm's performance in a square route trajectory. #AutonomousNavigation #ComputerVision #IMU #OpticalFlow #KalmanFilter #Localization #Robotics #ROS2 #BenGurionUniversity #ElbitSystems
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A team of Chinese researchers has pioneered a light-driven hydrogel launcher for tiny robots, a development with potential implications for the ballistics and aerospace industries. Inspired by the squirting cucumber plant, this launcher uses a photothermal response to rapidly vaporize embedded graphene, resulting in the release of elastic energy within 0.3 milliseconds. The disk-shaped robot, measuring just 7mm in diameter, can propel itself 1.93 meters vertically and travel distances 643 times its own body height. This power-amplification strategy could advance the capabilities of miniaturized soft robotic systems, with possible applications in smart agriculture, deep tissue medical robotics, and even ballistic weaponry. The system's adaptability to various surfaces, including leaves, bark, and viscous liquids, further highlights its versatility. This innovation may revolutionize how energy is stored and released in robotic systems, offering new avenues for propulsion and controlled motion. #RoboticsInnovation #ChinaTech #Ballistics #SoftRobotics #AerospaceTech #HydrogelLaunchers #RoboticsResearch #FutureTech
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The collaborative spirit of Sim4CAMSens is manifested in its assembly of an expert, world-class consortium of partners dedicated to fostering an emerging perception sensors and systems industry. The project is led by Claytex and includes rFpro, Oxford RF Solutions Ltd, Syselek, National Physical Laboratory (NPL), WMG, University of Warwick, Compound Semiconductor Applications (CSA) Catapult and AESIN. It is supported by funding from the UK’s Centre for Connected and Autonomous Vehicles as part of their Commercialising CAM programme. The three key goals for the project are: 1️⃣ Quantify and simulate the perception sensors under all conditions to enable sensor suppliers to demonstrate the capabilities of their devices and to enable ADS developers to establish a robust process to compare competing devices. The sensor evaluation framework will also support the development and validation of sensor models. 2️⃣ Enhance synthetic training data by improving perception sensor models. Given the challenges associated with collecting enough real-world training data the project will develop high-fidelity sensor models that include the same noise factors as the real devices. 3️⃣ Propose a framework for simulation credibility and AV safety to the regulators. This is crucial to unlock the path to type approval and enable AV’s to be deployed safely on the public roads. AVSandbox - Simulating Autonomy, Testing Reality #simulation #autonomousvehicle #safety #Sim4CAMSens #modelling #sensors
New Blog💡 The Sim4CAMSens project is a collaborative effort of innovation aimed at nurturing the simulation, modelling, and physical testing ecosystem for Connected and Automated Mobility (CAM) perception sensor and systems developers. The project endeavours to construct a robust supply chain to elevate the quality of modelling, simulation, test, and characterisation capability. This initiative is envisioned to accelerate and de-risk the design, development, validation, and utilisation of perception sensors and the algorithms crucial for automated driving functions. Find out more in our blog - #TheSandbox ↯ https://hubs.la/Q02kJVkl0 AVSandbox - Simulating Autonomy, Testing Reality #simulation #autonomousvehicle #safety #Sim4CAMSens #modelling #sensors
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#Autonomous #Simulation System for #Hypersonic Vehicle Design Making using #CFD codes less of a grind, Guru is an #artificialintelligence powered system that simplifies the process of setting up and running #computationalfluiddynamics (#CFD) simulations for hypersonic vehicle design. With Guru, users can interactively set up simulations, batch-run multiple scenarios, and automate post-processing and data extraction. The system interprets user requests, builds computational meshes, sets boundary conditions, and selects solver settings, freeing up users to focus on design and analysis goals. Guru's advanced features include solution-adaptive mesh refinement, ensuring simulations capture relevant physics. By automating manual tasks, Guru dramatically reduces setup time, making it an innovative game-changer for high-performance computing and design analysis.
MSBAI Delivers Transformative AI-Driven Hypersonic Aerothermodynamics Capabilities to USAF
spenderaedsystems.blogspot.com
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🗞 Electronic News! 🗞 Vayu Robotics, a rising star in the robotics industry, has unveiled a groundbreaking delivery robot that is set to challenge the dominance of European supplier Starship Technologies. The Vayu One delivery robot boasts a unique combination of transformer-based mobility foundation model and a cutting-edge light field camera sensor, eliminating the need for lidar technology. This innovative approach allows the robot to operate autonomously without the requirement of pre-mapping roads, making it versatile enough to navigate various terrains and environments. According to Vayu, the Vayu One model represents a significant leap forward in the delivery robot sector, offering a cost-effective, safe, and reliable solution for transporting goods. The use of light field camera technology, which captures data from the entire optical field, coupled with the transformer framework, enables the robot to carry payloads of up to 40kg at speeds of under 20mph. This impressive feat was showcased at Nvidia's GTC conference, where Vayu highlighted the use of Jetson AI card to power the transformer framework. #electricalengineering #electronics #embedded #embeddedsystems #electrical #computerchips Follow us on LinkedIn to get daily news: HardwareBee - Electronic News and Vendor Directory
Revolutionizing Delivery: AI-Embedded Transformer for Light Field Robots
https://hardwarebee.com
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Project Intern at Forbes Marshall | PCB Design Engineer | Embedded Systems | Power Electronics | E&TC @VIT Pune
I am pleased to share that our paper, titled "A Novel Approach to Metal Detection: Robotic Vehicle with Live Video Feed and Location Tracking," was presented at the 5th International Conference on Communication and Intelligent Systems (ICCIS 2023). Published in the SCRS book “Advancements in Communication and Systems,” our research introduces an innovative semi-autonomous robot capable of detecting metals in its path. This project showcases a fully functional robot with dynamic mobility, utilizing the ESP32 Wi-Fi module for efficient wireless operation. It operates in both manual and autonomous modes, featuring real-time GPS location tracking and a live video stream accessible via a web page. You can read our full paper here: https://lnkd.in/gEpUNMb8 Grateful for the collaboration with my fellow group members Bhushan Chavan, Nivedita Dannalli, and Vaishnavi Davari, and special thanks to our guide Prof. Siddharth Bhorge for his guidance and support. #research #innovation #metaldetection #robotics #ICCIS2023
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New Blog💡 The Sim4CAMSens project is a collaborative effort of innovation aimed at nurturing the simulation, modelling, and physical testing ecosystem for Connected and Automated Mobility (CAM) perception sensor and systems developers. The project endeavours to construct a robust supply chain to elevate the quality of modelling, simulation, test, and characterisation capability. This initiative is envisioned to accelerate and de-risk the design, development, validation, and utilisation of perception sensors and the algorithms crucial for automated driving functions. Find out more in our blog - #TheSandbox ↯ https://hubs.la/Q02kJVkl0 AVSandbox - Simulating Autonomy, Testing Reality #simulation #autonomousvehicle #safety #Sim4CAMSens #modelling #sensors
Introducing the Sim4CAMSens project | AVSandbox
https://www.avsandbox.com
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Student at University of Ilorin
1moNice