This week, I worked on integrating the Dobot Magician Lite with the AI Camera Vision System. I learned how to set up and calibrate the camera, detect and identify objects, and program the robot to react based on what the camera sees. This lab gave me hands-on experience with vision-based automation and taught me how sensors and AI can improve accuracy and flexibility in robotics.#Robotics #Engineering #Automation #ASU #FutureEngineer

Small prototypes often carry the essence of big ideas. Exploring how machines perceive their surroundings is at the heart of robotics. This simple distance calculation setup using an ultrasonic sensor and Arduino demonstrates the fundamentals of spatial awareness and sensor integration — concepts that power autonomous systems and intelligent devices. Such experiments might look basic, but they form the foundation for advanced robotics, AI-driven automation, and smart sensing technologies. Here’s a short demonstration of that concept in action. #Robotics #EmbeddedSystems #Arduino #Sensors #AI #MachineLearning #Innovation #Engineering #STEM

🌧️ What if a robot didn’t care about weather at all? Rain, dust, scorching sun, freezing cold — none of it slows it down… Introducing the DR02 by DEEP Robotics — the world’s first waterproof humanoid robot built to handle extreme conditions: 🔹 IP66 waterproof rating — works in rain, dust, and all environments 🔹 Operates from -20°C to 55°C 🔹 Walks steadily on slopes and uneven terrain 🔹 Carries up to 20kg of gear 🔹 275 TOPS of computing power with multi-sensor fusion for safe navigation 🔹 Modular design for quick part swaps and minimal downtime This isn’t just a machine — it’s a glimpse of the future of industrial robotics, where humans and robots collaborate in any environment. 👉 Would you trust a humanoid like this to work alongside humans in harsh conditions? 💬 Share your thoughts & follow 👉 1stepGrow Academy for more deep dives into robotics, AI, and the tech shaping tomorrow’s industries. #HumanoidRobotics #AIInnovation #IndustrialAutomation #FutureOfWork #DeepRobotics #TechRevolution #1stepGrow #RoboticsEngineering #AllWeatherRobots #FutureTech

Released CFP for a Special Issue titled "AI-Powered Brain–Computer Interfaces: Methods and Applications", a special topic of the International Journal of Intelligence & Robotics (IJIR). Here is the link to CFP: https://lnkd.in/guvW-zKc IJIR Editorial Board: https://lnkd.in/g5YWMnDU

The Most Underrated Skill in Robotics: Observation Before a robot moves, it must see. We often focus on motors, code and sensors. But the real magic starts with observation. How does a robot know what’s important in a scene? How does it filter noise from signal? As engineers, we should ask the same: Are we observing the world deeply enough before we automate it? Sometimes, the best engineering starts with silence and attention. #RoboticsStudent #AutomationPhilosophy #EngineeringMindset #ObservationMatters #thoughtlikeautorobo

Call for papers on Foundation Models for Robotics! T-RO is accepting submissions through November 30. The scope of this collection includes but is not limited to the following topics: - Reliable evaluation and comparison of capabilities - Reliance on limited robot training data - Retraining or post-training for improving performance on out-of-distribution tasks - Generalization across diverse robot embodiments beyond the most common morphologies - Spatial awareness and reasoning, geometric understanding, spatial precision - Multimodality including tactile sensing and force feedback - Low-latency onboard resource-constrained execution - Safety, explainability, and trustworthiness A special thank you to the handling editorial team Jeannette Bohg, Nicola Bezzo, Shoaib Ehsan, Dinesh Jayaraman, Jaichen Li, Zhijun Li, Harold Soh, Chaoyang Song, and Rudolf Lioutikov Read more: https://lnkd.in/gHnvrnxc #FoundationModelsforRobotics #TactileSensing #RobotEmbodiments

Engineering Inspired by the Human Body: Anatomy-Based Robots 🤖 These robots, modeled on muscles, tendons, and joints, replicate human movement with remarkable precision. The boundaries between biology and robotics are becoming increasingly blurred. —————————————— ♻️ Repost to spread knowledge ➕ Follow Robiotics for more updates at the intersection of robotics and biology! #HumanInspiredRobots #AnatomyTech #BioRobotics #RoboticsInnovation #FutureOfRobotics #TechMeetsBiology #HumanoidEngineering

This was one of my earliest experiments where I simulated a robot arm in Isaac Sim and replicated the actions on a real robotic arm. The video was recorded a while ago — but I wanted to share it now as one of my first steps into robotics simulation and real-world integration. During this project, I explored how Action Graphs and ROS communication work together to control movements between simulation and hardware. It was done when I had no prior experience with Isaac Sim, and I started it just to understand how the whole process works. It’s amazing to see how virtual simulations can mirror real robot actions. This marks the start of my journey into using digital twins and Isaac Sim for faster and more efficient robotics development . #IsaacSim #NVIDIA #Robotics #Simulation #DigitalTwin #ROS #RobotArm #Automation #iHubRobotics

What if robots could truly feel, not just touch, but sense vibration, slip, and texture like we do? We’re happy to share another highlight from our ARISE Project partners! 🚀 Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation Evetac introduces a high-speed, event-based tactile sensor that processes touch information at 1,000 Hz, giving robots near-human tactile awareness. This innovation brings us closer to dexterous, adaptive manipulation,  a cornerstone of ARISE’s mission toward safe and intelligent human-robot collaboration. #ARISEProject #TechHiveLabs #HorizonEurope #Robotics #TactileIntelligence #HumanRobotInteraction  https://lnkd.in/dV5XgG-x

🚀We’re continuing our series highlighting key research from our consortium! Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation  by Niklas Wilhelm Funk, Erik Helmut, Georgia Chalvatzaki (Technische Universität Darmstadt, ARISE partner), Roberto Calandra, and Jan Peters. 🔍Evetac introduces a fast and efficient event-based tactile sensor that can process touch information at 1,000 Hz, enabling robots to sense vibration, slip, and shear forces almost like humans. This breakthrough in event-based perception and tactile intelligence lays the foundation for robots capable of dexterous, adaptive manipulation, crucial for ARISE’s mission to advance safe and intelligent robotic collaboration. #ARISEProject #HorizonEurope #Robotics #Automation #ResearchInnovation Full research: https://lnkd.in/dvDf2u5x