Buro Matei’s Post

#ComputerVision (CV) models provide a wide range of measurements and insights that are crucial for industrial #automation and #robotics. Here are the specific types of information and data that can be obtained from #CV systems: 1️⃣ Pose Estimation: CV models can estimate the position and orientation of objects or robotic parts in 3D space. This is essential for tasks like robotic arm manipulation, where precise positioning is required to grasp, assemble, or interact with objects. Pose estimation allows robots to understand spatial relationships and align movements accurately. 2️⃣ Object Recognition and Classification: CV systems identify and classify objects within a workspace, enabling robots to distinguish between different parts, tools, or products. This capability is vital for sorting, quality control, and assembly tasks, allowing for automated decision-making based on object type, size, and condition. 3️⃣ Space Usage and Optimization: By analyzing visual data, CV models can measure how space is utilized within a manufacturing environment. This includes tracking human and robot movement, identifying high-traffic areas, and optimizing layouts to improve workflow efficiency. This information helps in enhancing productivity and safety by reducing unnecessary movements and collisions. 4️⃣ Defect Detection and Surface Analysis: CV systems can detect surface defects, inconsistencies, and other anomalies on manufactured products. By analyzing visual patterns and comparing them against standard models, CV helps in ensuring quality control by identifying defects early in the production process. 5️⃣ Dimensional Measurement and Verification: CV models can measure the dimensions of objects to ensure they meet specified tolerances. This is particularly useful in precision manufacturing, where parts must adhere to strict size and shape specifications. Automated measurement reduces the need for manual checks and increases throughput. 6️⃣ Environmental and Scene Analysis: CV can provide a comprehensive analysis of the operating environment, including obstacle detection, free space mapping, and environmental monitoring. This is crucial for autonomous navigation, allowing robots to adjust their paths in real-time to avoid obstacles and optimize routes. 7️⃣ Human Activity Recognition: CV systems can track and recognize human actions, which is useful for monitoring worker safety and interaction with machines. This includes recognizing gestures, tracking movements, and ensuring compliance with safety protocols, such as wearing personal protective equipment (PPE). 8️⃣ Material and Surface Quality Assessment: CV can analyze material properties, such as texture, color consistency, and surface finish. This capability is vital in industries where the appearance of a product is critical, such as automotive and consumer electronics, ensuring that each item meets aesthetic and functional standards. 💡 How are you exploring CV use cases?

𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝘃𝗲 𝗥𝗼𝗯𝗼𝘁 𝗠𝗮𝗿𝗸𝗲𝘁 𝗦𝗶𝘇𝗲, 𝗦𝗵𝗮𝗿𝗲, 𝗧𝗿𝗲𝗻𝗱𝘀 & 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗚𝗿𝗼𝘄𝘁𝗵 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗥𝗲𝗽𝗼𝗿𝘁 𝗳𝗿𝗼𝗺 𝟮𝟬𝟮𝟰 𝘁𝗼 𝟮𝟬𝟯𝟬 Download PDF Brochure @ https://lnkd.in/dzj8vNxq The #CollaborativeRobot industry size is projected to grow from USD 1.9 billion in 2024 and is estimated to reach USD 11.8 billion by 2030; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 35.2% from 2024 to 2030. The growth of the Collaborative Robot industry is driven by higher return on investment than traditional industrial robotic systems; increased demand in e-commerce and logistics sectors; significant benefits in businesses of all sizes; easy programming of cobots. By payload, more than 25 kg payload are projected to grow at a high CAGR of Collaborative Robot industry during the forecast period. Collaborative robots with payload capacities of more than 25 kg have been developed to help address ergonomic challenges for applications that are physically demanding for humans, such as heavy lifting. These cobots can assist human workers in tasks that require significant strength or endurance, such as loading and unloading heavy materials, assembly of large components, or transporting bulky items. Collaborative robots with payloads exceeding 25 kg incorporate advanced safety features and technologies to ensure safe human-robot collaboration. Electronics in industry segment in Collaborative Robot industry will account for the highest CAGR during the forecast period. #Collaborative #robots are built and programmed to manage display screens, connectors, subassemblies, and printed circuit boards (PCBs). Parts such as wafers are small and delicate and need to be managed carefully. The robots need to be very precise in locating, placing, and assembling components because the error tolerances are very small compared with other macro applications. Collaborative robots, or cobots, prove advantageous in various processing tasks such as grinding, milling, and cutting. In grinding applications, cobots excel at securely holding workpieces, maintaining consistent pressure, and removing dust. The Asia Pacific region is one of the prominent market in the global collaborative robot (cobot) market. Key companies operating in the Collaborative Robot industry are Universal Robots A/S, FANUC CORPORATION (Japan), ABB (Switzerland), TECHMAN ROBOT INC. (Taiwan), and AUBO (BEIJING) ROBOTICS TECHNOLOGY CO., LTD  (China), KUKA AG (Germany), Doosan Robotics Inc. (South Korea), Denso Corporation (South Korea), YASKAWA ELECTRIC CORPORATION (Japan), Rethink Robotics GmBH (Germany)  #robotics #servicerobot #Robot #Automotive #Electronics #innovation #technews

“𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧” Robotics and automation are two closely related fields that have significantly impacted various industries and daily life in recent decades. Here's a breakdown of each. 𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬: 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: Robotics involves the design, construction, operation, and use of robots. A robot is typically a programmable machine that can carry out tasks autonomously or semi-autonomously. 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀: Robots consist of mechanical components (such as arms and grippers), electrical components (sensors and actuators), and computer systems (control software and algorithms). 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: Robotics finds applications in manufacturing (industrial robots for assembly lines), healthcare (surgical robots), agriculture (robots for harvesting), exploration (space and underwater robots), and more. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀: Challenges in robotics include designing robots that can navigate complex environments, interact safely with humans, and adapt to unforeseen circumstances. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: Automation refers to the use of technology and control systems to reduce the need for human intervention in processes and tasks. 𝗧𝘆𝗽𝗲𝘀: Automation can be categorized into fixed automation (where tasks are repetitive and predictable) and flexible automation (where systems can adapt to varying tasks and conditions). 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Automation technologies include robotic process automation (RPA), programmable logic controllers (PLCs), and computer numerical control (CNC) machines. 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀: Automation improves efficiency, reduces human error, enhances productivity, and allows for continuous operation. 𝗖𝗼𝗻𝗰𝗲𝗿𝗻𝘀: There are concerns about job displacement due to automation, as well as ethical considerations in areas like autonomous decision-making. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: 𝗦𝘆𝗻𝗲𝗿𝗴𝘆: Robotics and automation often work together to achieve higher levels of productivity and efficiency. 𝗙𝘂𝘁𝘂𝗿𝗲: The future of robotics and automation involves advancements in artificial intelligence (AI), machine learning, and sensor technology, enabling robots to become more autonomous, adaptable, and capable of complex decision-making. 𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧: In conclusion, robotics and automation are transformative technologies with broad applications across industries, promising continued innovation and impact in the future. #Robotics #Automation #IndustrialAutomation #AI #ArtificialIntelligence #MachineLearning #IoT #RoboticIndustry #RoboticsEngineer #TechInnovation #Robotics #SmartManufacturing #Robots #AutomationEngineer #FutureOfWork #DigitalTransformation #Roboticsandautomation #Engineering #Artificialintelligence #Roboticseducation #Firstrobotics #Roboticstraining #Thefutureishere #Roboticstechnology #Roboticsengineering #Learnrobotics #Roboticseducationcenter #Roboticsenginee

HUMANOIDS USES IN HIGH VOLTAGE LINE CONSTRUCTION PART 3 …….. Challenges and Considerations: Cost and Complexity: The development and deployment of humanoid robots are expensive and technically complex. While they may reduce human labor costs in the long term, initial investments could be high. Regulatory and Safety Issues: Safety regulations will need to be adapted to account for robots working on live electrical systems. There must be rigorous testing and certifications to ensure the robots can handle the high-voltage environment. Technological Limitations: Current humanoid robots are still in the development stage and may not yet be able to match the dexterity and flexibility of human workers in all scenarios. However, advancements in AI, robotics, and materials science are likely to improve the capabilities of humanoid robots in these fields. In conclusion, humanoid robots have the potential to revolutionize the way high-tension voltage line construction and maintenance are performed by increasing safety, efficiency, and precision. However, the widespread adoption of such technology will depend on overcoming technological, economic, and regulatory challenges.

KEY COMPONENTS FOR THE CONTROL AND NAVIGATION OF MULTIPLE MAGNETIC MICROROBOTS IN 3D LUMENS The attached article published in Science Advances, Nov. 6, 2024, DOI: 10.1126/sciadv.adq1951, clearly outlines the fundamental components required to achieve the control and navigation of multiple magnetic soft robots in a three-dimensional environment. The described multirobot deployment framework relies on 3 essential components, detailed as follows: Influence Region (Ω) and Actuation Region (Ψ) Definition: These regions are spatially defined zones around each robot that quantify the conditions under which a robot can be influenced or activated by a permanent magnet (PM). Influence Region (Ω): This is the area where the magnet's influence is sufficient to generate magnetic torque but not necessarily enough to enable continuous robot movement. Actuation Region (Ψ): Contained within Ω, this region defines the area where the magnet generates enough magnetic force and torque to activate both continuous rotation and translation of the robot. Use: Placing the PM inside Ψ allows for the control of a specific robot while avoiding Ω of other robots to prevent undesired interference. Variations in Local Resistance During Interaction with Surrounding Lumens Context: Robots interact with their environment, such as the walls of the lumens, generating resistance due to factors like friction, fluid drag, and robot deformation. Impact: These local resistances vary depending on lumen properties such as: Diameter, material, stiffness, and surface pattern. Flow conditions, including fluid velocity and viscosity. Purpose: These variations are leveraged to calculate resistance thresholds, which define the limits of Ω and Ψ. This ensures precise control and prevents unintended movements of non-target robots. Path Planning for Navigating Multiple Robots in 3D Lumens Definition: A path planning algorithm is used to determine optimal PM routes, ensuring that robots reach their destinations within a 3D tubular network. Process: Based on a 3D lumen map and pre-calculated resistance specifications, the algorithm determines: The deployment order of the robots. The PM trajectories to activate each robot without affecting those already deployed. The PM moves so that it always stays outside the Ω of deployed robots and within the Ψ of the target robot. Advantages: This enables supervised and autonomous navigation, even under dynamic conditions such as pulsatile flows within the lumens. These 3 components work together to facilitate efficient deployment and independent control of multiple magnetic robots in complex environments. The influence and actuation regions establish the spatial control framework, resistance variations ensure precision in robot-environment interactions, and path planning optimizes the PM's movement and the order of robot activation. Congratulations to the scientific team for an excellent presentation. #MedicalAISpecialist #NanomedicineAIAlgorithmsOptimizer 

Discover the Future of Construction The construction industry is evolving, and Framebotix is leading the charge with our latest innovation: the 8th Generation Robot-as-a-Service (RaaS) solution. We’re thrilled to announce our new brochure, showcasing the revolutionary advancements our robots bring to the world of construction. Our 8th Generation robots are designed with construction’s unique challenges in mind. From high-precision inspection and machining to nailing, handling, and seamless assembly, these robots are a comprehensive answer to the industry’s need for high-performance automation. Here’s what sets them apart: Key Features of Framebotix’s 8th Generation Robots AI-Guided with Machine Vision: Say goodbye to the complexities of manual robot programming. With advanced AI guidance, our robots are plug-and-play, adapting quickly to new tasks and minimizing the need for specialized programming skills. This capability alone transforms how construction teams approach automation, allowing for rapid deployment and enhanced versatility. Unmatched Precision: High-accuracy machining, inspection, and assembly capabilities make these robots indispensable for tasks requiring a level of precision that human hands or traditional tools simply cannot achieve. Modular and Expandable Design: Equipped with a plug-and-play framework, our robots are highly adaptable and compatible with a variety of accessories, making them suitable for a wide range of applications. This flexibility allows construction companies to scale and customize their robotic solutions as projects evolve, maximizing efficiency and investment value. Supporting the Future of Construction At Framebotix, we are passionate about making robotics accessible and effective for the construction industry. By providing robotic solutions that are easy to integrate and operate, we empower construction teams to work faster, safer, and with better quality control. If you’re ready to explore how Framebotix can transform your construction processes, don’t hesitate to reach out. Our team is here to help you navigate the future of construction with confidence. Contact us for more details: info@framebotix.com Explore a new world of possibilities with Framebotix’s 8th Generation Robots – because the future of construction is here, and it’s autonomous. #Robotics #Automation #ConstructionTech #madeinusa #Manufacturing #Innovation #Sustainability #Robotics #AI #SmartFactories #Technology Gary Shamshoian Thomas Solle Atul Bhatt Steve Dubin Jennifer Castenson Ken Semler Brent McPhail Dean Lewis Gary Fleisher Dan Goldin Trey S. Audree Grubesic David Albert Paul Richards Kumud Deepali R. Santiago Ossa Lisa Terk Brad Jacobs Sneha Kumari, MBA, Six Sigma Vamsi Kumar Kotla Yudhisthir Gauli #Technology #circulareconomy #GlobalImpact #SmartMachines #CNC #sustainablebuilding #affordablehousing #clt #masstimber #offsiteconstruction #offsite #builder #investors #EcoFriendly #kuka

⚫️🟨Intralogistex 2024 INSIGHT 🟨⚫️ As part of Axiom GB Ltd (top material handling solution provider) team and exhibitor, I am grateful to have the opportunity to get a glimpse of the industry trends. If you want to keep up with technology in the industrial automation field this exhibition is priceless 👌. MY CONCLUSION is: Everybody is into AUTONOMOUS ROBOTS. 8 out of 10 solutions involved some kind of robot but they weren't the classical 6 axis ones fixed to the floor (static). These robots can move around and some of them could even climb 🧗♂️ AUTONOMOUSLY. This trend could obviously change quickly however classical and less flashy material handling technologies conveyors and sortation systems always will be a more simple option. I also came across 2 companies presenting "almost" the same product, 🧊Cubic automation storage using bins. The robots on the right don't have the covers on to show their kind of aerospace technology... It wasn't easy to understand what was going on with that many moving parts, pulleys, bearings, cables... Everyone was saying: "that robot is too complicated"... "I like the one with cover on better..." I like their transparency to get them naked 😅 🤔However which one do you prefer left or right? ---------------- Follow me for more 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧𝐚𝐥, 𝐞𝐧𝐭𝐞𝐫𝐭𝐚𝐢𝐧𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐢𝐧𝐬𝐩𝐢𝐫𝐢𝐧𝐠 engineering content on machinery safety, automation, industry 4.0, and electrical design. L̳e̳t̳'̳s̳ ̳p̳o̳w̳e̳r̳ ̳t̳h̳e̳ ̳f̳u̳t̳u̳r̳e̳ ̳t̳o̳g̳e̳t̳h̳e̳r̳!̳ 🔌🌍 #Intralogistex2024 #robotics #industrialautomation #industry40

A good to know information for someone trying to understand and get into the domain.

🚀 The manufacturing sector is on the cusp of a transformative era marked by the integration of artificial intelligence. This revolution promises to elevate automation, efficiency, and innovation levels to unprecedented heights. 🌟 Key Insights: AI is redefining manufacturing: From enhancing control systems to deploying "humanoid" robots, the applications are vast and varied 🏭 Solutions like autonomous floor scrubbers represent the merging of automation's benefits with cost-effectiveness and seamless integration 🧹 Looking ahead: The focus isn't solely on automation but on fostering an ecosystem where technology and human talent amplify each other's potential 👷♀️👷♂️ 🔍 Our Outlook: A future where AI and humans work in harmony, creating a more efficient and inclusive manufacturing landscape 🤝 Commitment to sustainable manufacturing and nurturing opportunities for upskilling and cross-disciplinary collaboration 🌱 Together, let's navigate the exciting journey that AI in manufacturing presents, shaping a future that benefits all. 🌟 Disclaimer: we don't usually go for happy-go-like posts on automation without a critical perspective of the things we have to watch out for. Nevertheless, we cannot hold back our enthusiasm for a (near) future of human-centred automation. #Innovation #AI #Manufacturing #FutureOfWork #Sustainability

The construction industry is adopting robotic automation and digital tools, but safety concerns remain due to potential collisions between robots and workers. #aitechs #robothuman #interaction #Construction #worldconstructiontoday https://lnkd.in/dJ8zdVQE