Learn robotics with Galaxium's hands-on module

🚀 Smarter, Safer Autonomous Robots — Powered by onsemi onsemi's advanced subsystems—featuring intelligent sensing, motor control, and communication—enable high-performance AMRs, AGVs, and cobots. Key components like the NCS32100 sensor, NCN26010 transceiver, and AR0234CS image sensor help accelerate design and deployment. Learn more: https://bit.ly/3VtlrvA #onsemi #EdgeAI #AMR #Robotics #SmartMobility #IndustrialAutomation #FutureElectronics

AI + Robotics: The frontier of intelligent automation Artificial Intelligence and Robotics are merging to create solutions beyond human capability — from autonomous drones to collaborative robots in manufacturing. Key trends Cobots → robots working safely alongside humans. AI-driven vision → improved recognition and decision-making. Autonomous mobility → logistics and delivery robots on the rise. Why it matters Higher productivity in industry. Safer, more efficient workplaces. New business models powered by automation. How soon do you think AI-powered robots will become part of daily life, not just factories? #AI #Robotics #Automation #Industry40 #Innovation #FutureOfWork

🤖 Excited to dive into ROS(Robot Operating System), the powerhouse that brings robots to life! For those who haven’t come across it yet, ROS is an open-source framework for building robot applications. It provides tools, libraries, and conventions that simplify the task of creating complex and robust robot behavior across a wide variety of platforms. It’s widely used in industries like autonomous vehicles, drones, industrial automation, and research robotics to control robots, simulate environments, and integrate sensors. Essentially, ROS acts as the backbone for a robot’s “brain” and “communication system.” I’m just getting started on this journey and exploring the official documentation here: https://docs.ros.org/   Looking forward to learning, experimenting, and sharing more about robotics development along the way. #ROS #Robotics #Automation #AI #LearningJourney

Robotics and AI often deal with uncertainty in sensor data. The Kalman Filter plays a crucial role here — it predicts the system’s next state, compares it with noisy measurements, and corrects the estimate to provide the most accurate position or state possible. From self-driving cars blending GPS with cameras, to industrial robots navigating complex environments, Kalman Filtering is the mathematical backbone that keeps systems stable and reliable. Follow for more content: https://lnkd.in/g6d5h5ih #KalmanFilter #Robotics #ArtificialIntelligence #AutonomousSystems #RoboticsEngineering #MachineLearning #SensorFusion #AIApplications #TamilNaduTech #InnovationInRobotics

Robots can now think and act like humans using VLA models. 💡 VLA models can revolutionize robotics in industries like logistics and autonomous vehicles, boosting capabilities and reducing operational costs. 🇸🇬 🇨🇳 Arxiv paper: 📄 https://lnkd.in/eSEvsG2x Author: Dapeng Zhang, Jin Sun, Chenghui Hu, Xiaoyan Wu, Zhenlong Yuan, Rui Zhou, Fei Shen, Qingguo Zhou Lanzhou University, National University of Singapore #ComputerScience #Robotics #arXiv

Field robotic machines: Precision unlocks their full potential. From logistics to agriculture to autonomous lawnmowers, robotics demands incredibly precise navigation. Autonomous robots need exact physical locations to execute tasks accurately, avoid collisions and optimize routes. Trimble high-precision GNSS provides the centimeter-level accuracy essential for reliable and efficient robotic operations. Learn more with Trimble this week (Oct 15-16) at RoboBusiness in Santa Clara. #Robotics #Automation #PrecisePositioning #Robobusiness #Robobusiness2025

In this T‑RO paper, the authors propose a task‑driven co‑design framework that optimizes sensors, planners & compute under safety, cost, energy & weight constraints—demonstrated on AVs to show how task complexity affects autonomy stack choices. https://lnkd.in/gEHEPKrU Paper title: CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles Paper authors: Dejan Milojevic, Gioele Zardini, Miriam Elser, Andrea Censi, and Emilio Frazzoli #RobotSensingSystems #AutonomousVehicles #LIDARSensor #MobileRobot

ROBOTICS: #Gartner Research maps the Agentic AI evolution from L1 to L5. mimik enables it at each stage of it’s development. The impact is highlighted in the business outcomes delivered. https://lnkd.in/euQ65c3J #Robots #ComputerVision #Robotics #EmbeddedAI #Autonomous #TrafficManagement #RoboTaxis #SwarmingRobots #DroneCounterMeasures #Humaniod #KUKA #EPSON #ABB #BostonDynamics #iRobot #Daifuku #ABBRobotics #Siemens #SchneiderElectric #FANUC #Honeywell #RockwellAutomation #YaskawaAmerica #DensoRobotics #DoosanRobotics #EpsonRobots #Bosch Danielle Casey Gartner Fay Arjomandi Michel Burger Siavash Alamouti Sam Armani

2. RIS (Regional Innovation System) Project Participant (08/2023 – 01/2024) Collected information on autonomous robots and object-detection camera development processes Conducted surveys, data collection, and analysis of different models