Robotics In Everyday Work

Aerones is a Latvian robotics company focused on wind turbine inspection, maintenance, and repair. They use drones and crawler robots to check turbine blades inside and out. The systems handle lightning protection tests, drainage hole cleaning, visual inspections, and non-destructive testing. Aerones also provides robotic cleaning for blades and towers, removing dust, bugs, salt, algae, oil, and more. Robots can apply protective coatings, including ice-phobic and leading-edge coatings, directly on-site. A drone can scan a turbine in under 30 minutes with one button press. Data is uploaded to the cloud immediately and analyzed with AI to detect and classify issues. Compared to traditional methods, Aerones cuts downtime by 4–6 times and idle-stay periods by 5–10 times. Their technology is used worldwide by operators such as NextEra, GE, Vestas, Enel, and Siemens Gamesa, on both onshore and offshore turbines.

Breaking Space News 🚨 India’s First Space robotic arm in Action aboard POEM4. India says hi to them domain of Space robotics today. On wards and Upwards! Relocatable Robotic Manipulator-TD (RRM-TD) is Developed by ISRO-IISU RRM-TD aka Walking Robotic Arm is a technology demonstrator for the type of robotic arms that will be used on the Bharatiya Antariksh Station to help with its construction and maintenance. The specialty of this type of robotic arm is that it has the ability to relocate itself along the body of its parent spacecraft by "walking" end-over-end, similar to how an inchworm or leech moves, and grabbing onto fixed grappling points and re-routing power & data connections

Maintaining and inspecting confined spaces can be difficult and dangerous - fortunately no-man-entry surveying just got a robotic boost This laser scanning robot named PIPE1 is able to easily fit and traverse a range of difficult confined environments, from sewer pipes to culverts. Using a form of laser scanning called SLAM (Simultaneous Location And Mapping) it can then generate incredibly precise maps and models, showing exactly where cracks or blockages are forming to accurately guide timely maintenance and repair measures. Such systems can also be used for deep cast mining exploration and even search and rescue missions. How could your industry benefit from this type of technology? #confinedspaces #maintenance #mining Leica Geosystems Pure Surveying

𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗺𝗲𝗻𝘁: 𝗧𝗵𝗲 𝗢𝗧𝗚 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 In our continuous exploration of how AI is revolutionising HR practices, today we spotlight a pioneering initiative by OTG, an airport hospitality leader. Their recent shift towards automating recruitment processes showcases a significant leap in HR innovation. 𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆: OTG's Automation Drive OTG has embarked on an ambitious journey to enhance their recruitment by integrating advanced AI tools. This strategic move is designed to streamline hiring, improve candidate fit, and significantly reduce the time spent on administrative recruitment tasks. 𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗕𝗼𝗼𝘀𝘁: By automating initial screening and administrative duties, OTG has cut down the hiring cycle, allowing HR professionals to focus on strategic decision-making and personal interactions. 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗛𝗶𝗿𝗲: AI-powered tools have enabled better matching of candidates to job requirements, improving the overall quality of hires and reducing turnover. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: As OTG expands its operations across various airports, AI recruitment tools scale accordingly, providing consistent and reliable support in handling large volumes of applications. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗮𝗻𝗱 𝗔𝗱𝗮𝗽𝘁𝗮𝘁𝗶𝗼𝗻𝘀: While the transition has propelled significant gains, it also posed challenges. Adapting to new technologies required shifts in workflow and a keen focus on maintaining the human touch in HR practices—critical in the hospitality industry. 𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 OTG's case provides valuable insights for HR professionals considering similar technological enhancements. It highlights the importance of choosing the right tools, customising them to fit organisational needs, and balancing tech-driven efficiency with essential human elements of recruitment. https://lnkd.in/gRTk_yxu #DrJaclynLee #HRInnovation #AIRecruitment #CaseStudy #HospitalityIndustry #HRTech

Ever wonder what half a billion minutes of AI-powered customer service actually sounds like? This week on The Modern Customer Podcast, I chat with Benjamin Gleitzman, CTO & Co-founder of Replicant. We dive deep into how their enterprise-grade AI is transforming customer service, moving beyond frustrating IVRs to deliver full-call resolution for even the most complex issues. This AI doesn't just sound natural; it thinks on its feet, adapts in real time, and helps customers solve complex problems. It’s set up to handle an emergency roadside service scenario, just like the Replicant AI agents that have automated millions of calls for North America’s largest roadside assistance providers. Learn why this is a "now or never" moment for voice automation, and how AI can drive massive cost savings while boosting customer satisfaction. We tackle everything from empathy to human + AI handoffs! This episode is sponsored by Replicant. Ready to experience it yourself? You can talk to Replicant's AI agent right now: 👉 https://lnkd.in/gMjAZ2Sj Don't miss this insightful conversation!

Automation is transforming the way we work, but not all automation is the same! Let’s break it down in simple terms with real-world examples. RPA (Robotic Process Automation) Mimics human actions on a screen (clicking, typing, copying). Best for repetitive, rule-based tasks. Example: A bot logs into an email, downloads invoices, and enters data into an ERP system. Intelligent Automation (IA) RPA + AI capabilities (OCR, NLP, Machine Learning). Can handle semi-structured and unstructured data. Example: An AI-powered bot extracts data from scanned invoices (OCR) and classifies them before processing payments.  API Automation Connects software directly without using a UI. Faster and more reliable than RPA. Requires coding knowledge to set up API calls. Example: An API automatically updates customer records in a CRM when a new order is placed—without a bot clicking anything! Why Combine RPA + API? RPA is great for legacy systems that don’t support APIs, while APIs make automation faster and more reliable. Example: A bot logs into an old accounting system, extracts customer data, and then uses an API to update a modern CRM—best of both worlds!    AI Agents Autonomous, learns from interactions, and makes decisions. Works with structured and unstructured data. Example: An AI-powered assistant understands customer queries, learns from past interactions, and automatically books meetings. For more insights on automation, subscribe to my newsletter 👉 https://lnkd.in/dpqw4WtS

How we shrank 30-40 hours of weekly manual work into just 2-3 hours 🤯 (Automation Tip Tuesday 👇) This home services company was struggling with their invoice reconciliation process. They received numerous vendor invoices via email (PDF format) and needed to manually match them against jobs in ServiceTitan. Their team was stretched thin, discrepancies and overpaying were daily occurrences, and one day, they had enough. We worked on a three-step automated solution: Step 1: Finding the PDFs Zapier monitors the inbox for invoices. When it detects an invoice with a PDF attachment, it proceeds to Step 2. Step 2: Parsing the Data Nanonets uses AI to extract data from the PDF. Step 3: Data Comparison The extracted data is compared with jobs in ServiceTitan. Any discrepancies are added to a spreadsheet for internal review. 30-40 hours of weekly manual verification time is now just 2-3 hours. With instant discrepancy flagging, their system allows for better vendor management, improved billing accuracy, and more time for the team to pursue higher-value tasks. Which manual task that can be automated is currently taking up too much valuable time? If you’re thinking of one, it’s time we spoke. Book a free call (link in the comments 👇) and let’s see what we can do for your workflow. -- Hi, I’m Nathan Weill, a business process automation expert. ⚡️ These tips I share every Tuesday are drawn from real-world projects we've worked on with our clients at Flow Digital. We help businesses unlock the power of automation with customized solutions so they can run better, faster and smarter — and we can help you too! #automationtiptuesday  #automation #workflow

Robots of the Future are Here Now When you visit the BMW production facility in Spartanburg, South Carolina, USA, one of the most striking impacts is the integration of technology. Humanoid Robots involved in complex and difficult activities including pressing, welding, assembling and installing intricate component sets are handled seemingly with ease. The BMW technology team reports 20 hour work cycles by the humanoid robots, representing a 400% increase in efficiency, and 7X lower error rates. With a production volume of 450000 vehicles annually, including the wildly popular Sport Utility series X3, X4, X5, X6, X7, and XM, the USA BMW South Carolina plant is the largest exporter globally of automobiles by value in North America. The plant has assembled 7 million vehicles since it first launched. Yet in a country like America with an ageing population, service industry emphasis, high wages, and less than 4% unemployment, it is challenging to grow global manufacturing operations at scale. This is where BMW has responded to the challenge with automation. You can see a recent video of the plant here on this Youtube clip: https://lnkd.in/dkp-whMQ As automation becomes an ever greater player in manufacturing, production, and assembly, it is important to consider where industrial robots are actually installed: China 276000 Japan 46000 USA 38000 S. Korea 31000 Germany 28000 Source: International Federation of Robotics, Artificial Intelligence Index Report 2025, and BMW Group official press release, 2025. Where does your Strategy address the integration of technology and automation in your value creation processes for the future? What do you think about the BMW Humanoid Figure 02 Robots? Strategy is Mastery.

The journey towards intelligent automation emphasizes the transformation of routine tasks into smarter workflows, allowing organizations to focus on innovation and decision-making rather than manual interventions, fostering sustainable business growth. Intelligent process automation develops across four distinct stages, each increasing in complexity and reliance on advanced technologies. The first stage, robotic process automation (RPA), focuses on automating repetitive, rule-based tasks using structured data. This foundational step minimizes manual intervention and boosts efficiency in handling predictable processes. The second stage, cognitive automation, introduces machine learning to manage unstructured data and perform more complex tasks. By leveraging pattern recognition and predictive analytics, this phase enables systems to adapt to new inputs and make data-driven adjustments, enhancing overall process flexibility. Digital assistants represent the third stage, integrating natural language processing and speech recognition. These systems interact with users through conversational interfaces, improving user experience and streamlining processes that rely on communication and text-based interactions. Autonomous agents mark the highest level of intelligent process automation. These sophisticated systems use deep learning to make independent decisions and initiate actions, supporting critical business functions. By operating without constant human input, they enable businesses to achieve a higher degree of operational autonomy and scalability. #Automation #AI #DigitalTransformation #ProcessAutomation #MachineLearning #NLP#SmartWorkflows #Innovation

I automated my entire team's workflow—and then THIS happened. Ever wonder what would happen if your team could complete a week's worth of work in a single day? Sounds like a dream, right? Well, that's exactly what we achieved. A few months back, I noticed my team was bogged down with repetitive tasks. Brilliant minds were spending hours on mundane activities. So, I decided to take a bold step. We invested in automating these tasks. The initial push was challenging: - Learning new tools - Changing long-standing processes - Overcoming resistance to change But the payoff was incredible. Results: - Productivity skyrocketed: We accomplished more in less time. - Stress levels dropped: The team felt less overwhelmed. - Innovation flourished: Free time led to creative solutions. - Employee satisfaction increased: Work became more fulfilling. The most surprising outcome? Our team cohesion strengthened. With less time on grunt work, we collaborated more on strategic projects. The takeaway? Automation isn't about replacing people. It's about freeing them to do what they do best. Embrace technology to unlock your team's true potential. Have you implemented automation in your work?