“You never change things by fighting the existing reality. To change something, build a new model that makes the existing model obsolete.” — R. Buckminster Fuller At Sensory Robotics, we’re not trying to replace traditional safety. We’re building the complementary model that factories need now: data-driven, 3D vision safety that protects people while keeping robots productive. Traditional safeguards still matter; our SR-1 layer adds near real-time awareness, adaptive zones, and actionable insight so you can modernize safely without tearing out what already works. #Robotics #Automation #SmartManufacturing #IndustrialSafety #HumanRobotCollaboration #FencelessSafety #3DVision #FunctionalSafety #ISO13849 #RiskAssessment #DataDrivenSafety #SRInsight #AutomotiveManufacturing #TaktTime #Throughput #RobotSafety #AdvancedManufacturing 

Robots can now feel pressure, texture, and touch — just like humans. Introducing our flexible electronic skin, seamlessly integrating high-resolution tactile sensing with adaptive flexibility. #ElectronicSkin #TactileSensor #FlexibleElectronics #Robotics #Innovation #SoftRobotics #BionicSkin #RobotTouch #FutureTech#Robot hands#Dexterous hands

Speed meets certainty when robots can see and feel. Event cameras catch the instant something changes; tactile skin knows if it slips, clicks, or seats. Together, visuo-tactile intelligence gives robots micro-second reflexes with human-level nuance—placing a connector without stripping it, catching a falling vial before it breaks, finding the “just-enough” force in crowded shelves. Recent research is fusing vision + touch + language so policies reason about contact (“too much force,” “rotate until click”) before acting, and industry systems are already picking delicately at scale. That’s not just smarter automation—it’s safer work and fewer errors. Speaker Dr. Qamar Ul Islam D.Engg. B.Tech. M.Tech. Ph.D. FHEA #VisuoTactile #PhysicalAI #Robotics #TactileSensing #ComputerVision #AIinIndustry #InfiniteMind

Meet STREAL for Robotics and Autonomous Mobile Robots STREAL is Macnica’s semiconductor grade strain sensing that helps robots and mobile platforms “feel” force and load in real time. The result is safer interaction, smoother motion, and higher uptime on the factory floor. Why it matters • Smarter pick and place with better grip awareness • Early warnings on overloads and loose fixtures for fewer stops • Compact modules that bond to links, joints, grippers, or frames without redesigns From Sensor to Solution Macnica guides you from idea to deployment. Discovery and feasibility, sensor placement, reference designs and firmware, dashboards and alerts, then pilot to production with North American support. Curious where embedded force intelligence fits in your robot or AMR, read more about Streal, here -> https://lnkd.in/db4nUMb4 Contact us today to scope a quick pilot with our engineering team. #MacnicaAmericas #STREAL #SensorToSolution #ForceSensing #StrainSensing #Robotics #AMR #Manufacturing #PredictiveMaintenance #Micromobility

#Robotics is undergoing a major transformation. From #AI-driven perception to functional safety and real-time control, today’s robots are no longer confined to cages—they’re becoming intelligent, adaptive machines that share our spaces. In this video, Winston Leung, Senior Manager for Robotics at QNX, and ABI Research's George Chowdhury explore: 1. The rise of AI-powered robots that use 3D depth cameras for real-time perception, navigation, and decision-making 2. Why safety is essential as #robots move from factories into homes, #hospitals, and public spaces 3. The importance of built-in functional safety versus retrofitted solutions 4. The new definition of safety in an era of machine learning and probabilistic decision-making 5. The future of standards and what’s missing to support next-gen intelligent robotics #manufacturing #industry40 #industrial

🔪 From Objects to Food: Robots Learning with Deformable Assets At Lightwheel, we believe domestic robotics won’t stop at rigid objects. To truly serve in kitchens and homes, robots must handle deformable assets like sausages, dough, or fabrics — and reason about their logical interactions. In this demo, a LeRobot arm slices a sausage: ✅ Physics-driven deformation of the sausage asset ✅ Knife-food contact with logical interaction ✅ Step toward more realistic, generalizable household robotics Why it matters: Robots that can manipulate not just rigid items but also deformable, everyday materials open the door to smarter kitchens, safer automation, and richer training data for embodied AI. 🎥 Watch how simulation brings food prep into the robotics frontier. #Lightwheel #Simulation #DeformableAssets #HouseholdRobotics #EmbodiedAI #Sim2Real #Robotics

Bridging the gap between simulation and reality — that’s what drives Lightwheel’s SimReady assets. Built with real-world physics in mind, each asset is crafted with precise geometry, accurate materials, and validated physical properties. From rigid to articulated and deformable objects, every detail is optimized for true-to-life behavior — making your simulations look, feel, and perform like the real world.

Sharing with you all a small yet exciting project from my RAS Robotics-1 course at Arizona State University, guided by Prof. Sangram Redkar. Our objective was to integrate computer vision with robotic manipulation to perform an autonomous palletizing task. Using a Dobot Magician Lite equipped with a suction-cup gripper and an external camera, we implemented a YOLOv5-based real-time object detection system that classifies objects ( food vs. vehicles) and sorts them onto the correct pallets. The workflow involved: 🤖 Detecting and classifying objects under the robot’s workspace 🎯 Picking and placing them using the suction end-effector 🔁 Returning to home position for continuous operation This project demonstrates the power of perception-driven robotic manipulation, combining AI-based vision with precise motion control. A core step toward intelligent automation systems. Huge thanks to the teaching assistants Rajesh Aouti and Sai Srinivas Tatwik Meesala for their guidance. #Robotics #ComputerVision #YOLOv5 #ASU #Automation #Dobot #AIinRobotics #PerceptionDrivenControl

As robotics technology advances, the choice between dexterous hands and grippers is becoming increasingly strategic. Grippers offer speed and reliability in repetitive tasks, while dexterous hands deliver superior precision and adaptability in complex environments. Selecting the optimal end-effector requires a clear understanding of your application’s demands - whether it’s task complexity, operating conditions, or performance benchmarks. Explore how motor selection, motion control, and system integration are shaping the future of robotic manipulation: https://lnkd.in/enjQjewT #RoboticsEngineering #MotionControl #Robotics

Reading Forces in 6 Axes ⚙️ Inside this compact body lies a precise structure that measures 3 forces and 3 torques simultaneously. A 6-axis force/torque sensor is more than a load detector— it serves as the sensory organ 🤖 that lets robots interact with their environment. With stable output under repeated loads, low crosstalk, and precise linearity, it always delivers reliable data. ✨ The moment you read invisible forces, new control begins. 🔗 https://lnkd.in/dmBVRMxM #6AxisSensor #ForceTorque #Robotics #Automation #IndustrialRobotics #RoboticsResearch #ALRobot #에이엘로봇 #6축힘토크센서