Trends in Robotics Innovation

👷♂️ Picture this: a robot tiling the floor space of four tennis courts — 1,000 m² — in just one day. These robots are not prototypes. They already exist. And they’re a perfect example of where AI-driven automation shines: Repetitive. Physically punishing. Unforgiving of error. But here’s what really matters: Every square meter a robot lays is also reshaping the skills mix on site. We gain speed, precision, and fewer injuries… but we risk sidelining the tradespeople whose craft built our cities. The untold story? The winners won’t be the robots alone — but the humans who move up the value chain: > Robot maintenance & calibration > Quality assurance & oversight > AI-driven project management If we don’t invest in these upskilling pathways now, automation becomes a zero-sum game. If we do, it becomes a win-win — safer sites, faster delivery, and jobs that value human creativity and judgment over back-breaking repetition. 💡 My take: Automation shouldn’t erase workers. It should elevate them. The question is whether governments, companies, and unions act fast enough to make that real. 👉 Have you seen an effective reskilling program in construction (or any hands-on industry) that could be a model here? #AI #Automation #FutureOfWork #Construction #Upskilling

This year, robotics start-ups have already raised more than $6 billion. That says a lot about where the next wave is heading! Fun fact- before racing, I'd been accepted to study aeronautical engineering at Imperial College London. I've always been interested in how people and data can work together to optimise performance. That's why I'm finding robotics such an interesting topic today! At Rosberg Ventures, we focus on sectors like climate tech, mobility, AI, blockchain, fintech, and enterprise- essentially where the next decade's breakthrough companies are being built. And robotics is fast becoming the next big wave of transformation. What excites me is the combination of AI and robotics. AI has already revolutionised computer work. Now, AI machines not only calculate, but also learn, understand, and make autonomous decisions. An example of this in practice is one of my personal investments, Sereact. Thanks to their AI, robots can pick damaged products out of a box, just by voice command. It's already up and running today, in a warehouse in Stuttgart. They’ve also just launched their Cortex Model (one AI model that can run different robot types and pick up new tasks from day one). These systems are already achieving 600 picks per hour, with 30-minute order-to-route times and plans for 100+ robots across Europe. That's massive scalability. And on the intralogistics side, in my role as an ambassador for Jungheinrich AG, I'm seeing how things are evolving there too. Their autonomous mobile robots (such as the Arculee M) navigate freely within defined areas. They can detect obstacles and handle loads up to 1,300 kg on pallets. Last year, the arculee M range was awarded at the Red Dot Awards in the 'Robotics' category. And more recently, Jungheinrich automated material flow at Picanol in Belgium using six arculee M AMRs on a 230-metre route across 50 stations, moving loads up to 1,300 kg and improving flexibility and speed. How do you see the balance evolving between what humans do best and what machines can now handle? Let me know in the comments... 

Not long ago, solving a Rubik’s Cube was considered a mark of human intelligence and spatial reasoning. Can you solve the Cube that fast? Today, AI-powered robots can do it in 0.103 seconds, thanks to ultra-fast cameras capturing 4,500 frames per second and motors executing rotations in under 10 milliseconds. It’s more than a party trick — it’s a signal of how far robotics and AI have come. 📈 Processing Power: Since 2010, compute performance for AI workloads has grown by over 1 million×. ⚙️ Robotics Precision: Modern servomotors can reach accuracy levels below 5 microns, enabling surgical precision. 🧠 Learning Efficiency: Reinforcement learning models can now train 10× faster using GPU and accelerator platforms like AMD Instinct and ROCm. 🌐 Adoption Rate: Over 70% of manufacturers are investing in autonomous robotics or cobots to boost productivity and safety. The Rubik’s Cube isn’t the story — it’s the metaphor. Machines have evolved from replicating human logic to outpacing it, not through brute force but through speed, adaptability, and self-optimization. 🔹 Robots that invent their own challenges to learn faster. 🔹 AI systems that design and test hardware in simulation before humans even prototype it. 🔹 Collaborative robotics that co-create with humans — blending creativity, empathy, and logic. AI and robotics are no longer about automation; they’re about amplifying imagination. #AI #Robotics #Innovation via @cuberx5w #MachineLearning #FutureTech #Automation #ReinforcementLearning

Physical AI is starting to look less like robotics - and more like the next cloud infrastructure race. This week, Mind Robotics raised another $400M to build AI-powered industrial robots, pushing its valuation past $3.4B. At the same time, a new wave of embodied AI companies - from Physical Intelligence to Skild AI - are attracting capital at infrastructure-scale valuations. The narrative is shifting fast: investors are no longer underwriting “robots.” They’re underwriting foundational control systems for the physical world. What most people are missing is that hardware is becoming the distribution layer, not the moat. The real asset is the data flywheel created by real-world interaction: motion, failure, correction, adaptation. Physical AI companies are converging on the same realization that defined cloud and autonomous driving - whoever owns the operational data layer compounds fastest. That’s why simulation, deployment infrastructure, and robotics middleware are suddenly strategic assets, not support tooling. The implication for founders is clear: vertical robotics companies may struggle unless they control proprietary environments or workflows. For investors, the bigger opportunity may sit one layer below - orchestration, simulation, embodied foundation models, and industrial data infrastructure. Physical AI won’t be won by the best robot demo. It’ll be won by the company that learns fastest in the real world. #PhysicalAI #Robotics #EmbodiedAI #VentureCapital #AIInfrastructure https://lnkd.in/gUY4-Zsx

Almost 40% of domestic tasks could be done by robots ‘within decade’. Robots are coming to the rescue: Can AI clean up labour gaps? Home robots are changing lives fast. They do chores, offer companionship, and help with learning. These robots save time and can boost happiness. The economic impact is huge. The global home robotics market is projected to reach $19.3 billion by 2027 (annual growth rate of over 20%). In 2024, more than 30 million household robots were in use worldwide, a number expected to double within five years. Once prices are more affordable, everyone will want one. But there’s a catch. 1. Automation can take away jobs that involve simple tasks. This creates a need for new skills and jobs in tech fields. 2. We also see regional inequality. Poor areas lose more jobs when robots come in. Wealthier regions benefit more. If we don’t act, this could widen the gap between rich and poor. In some developing nations, up to 85% of jobs could vanish due to automation. We must ensure that robots help reduce, not increase, global inequality. 3. The social effects are just as important. Robots can be great companions. They help reduce loneliness. But too much reliance on them can lead to isolation. And are we transferring our social responsibility to robots when hey take care of elderly and kids? This is especially concerning for kids, who need to learn empathy. 4. In education, robots provide personalised help. They can bridge learning gaps and improve results. 5. In healthcare, robotic caregivers and smart tools can enhance access to care. They support independent living for the elderly and disabled. The integration of home robots promises a more connected, efficient, and harmonious life, but also brings challenges that require thoughtful regulation, ethical design, and inclusive policies. Balancing the benefits of automation with its social, economic, and ethical implications will be key to ensuring that robotics improve quality of life for all. Follow me Dr. Martha Boeckenfeld for more to Unlock Your Future.

Another robotics masterpiece from our friends from Disney Research! Recent progress in physics-based character control has improved learning from unstructured motion data, but it's still hard to create a single control policy that handles diverse, unseen motions and works on real robots. To solve this, the team at Disney proposes a new two-stage technique. In the first stage, an autoencoder is used to learn a latent space encoding from short motion clips. In the second stage, this encoding helps train a policy that maps kinematic input to dynamic output, ensuring accurate and adaptable movements. By keeping these stages separate, the method benefits from better motion encoding and avoids common issues like mode collapse. This technique has shown to be effective in simulations and has successfully brought dynamic motions to a real bipedal robot, marking an important step forward in robot control. You can find the full paper here: https://lnkd.in/d-kzexdJ What Markus Gross, Moritz Baecher and the rest of the gang are bringing to life is unbelievable!

Here are the 13 Tech Shifts you should include in your strategic planning. It’s again the time of the year for technology predictions. The new McKinsey & Company Technology Trends Outlook 2025 by Lareina Yee, Michael Chui, Roger Roberts, Sven Smit is here and it highlights 13 frontier technologies shaping the next decade. The common thread? AI isn’t just a trend: it’s the amplifier of everything. Let’s break it down: 🔹 AI Revolution (The Core Catalyst) 1. Artificial Intelligence: From diagnostics to discovery, AI is reshaping every industry. It’s becoming more multimodal, more capable, and more embedded. 2. Agentic AI: Think beyond chatbots: these are autonomous AI “coworkers” that plan and execute tasks independently, revolutionizing workflows in customer service, software dev, and even research. 🔹 Compute & Connectivity (The Infrastructure Enablers) 3. Application-Specific Semiconductors: Custom chips powering AI’s insatiable demand for speed, efficiency, and specialized compute. 4. Advanced Connectivity: 5G/6G, private networks, LEO satellites: unlocking edge intelligence, remote care, and real-time coordination. 5. Cloud and Edge Computing: Distributing workloads across cloud and edge to balance speed, sovereignty, and sustainability. 6. Immersive-Reality Technologies: From AR-assisted surgery to VR training in healthcare, immersive tech is going enterprise. 7. Digital Trust and Cybersecurity: AI needs trust to scale. Expect stronger identity, governance, explainability, and quantum-safe security. 8. Quantum Technologies: Still early, but breakthroughs are coming in drug discovery, encryption, and optimization. 🔹 Cutting-Edge Engineering (The Physical & Biological Frontiers) 9. Future of Robotics: Humanoids, cobots, and surgical robots working side by side with humans across industries. 10. Future of Mobility: Autonomous vehicles, delivery drones, and EVs reshaping how we move goods and people. 11. Future of Bioengineering: Personalized, engineered medicine and synthetic biology promise a leap in longevity and healthspan. 12. Future of Space Technologies: LEO constellations, space manufacturing, and global connectivity infrastructure. 13. Future of Energy and Sustainability Technologies: Clean energy systems, battery innovation, and carbon capture, all accelerating decarbonization. Why this matters especially in healthcare: We’re entering an era where AI doesn’t just support workflows, it takes over parts of them. From agentic AI in radiology to bioengineered therapies tailored to your genome, it’s already starting. My personal read into this: Innovation is no longer about adopting tech. It’s about integrating it responsibly, securely, and equitably. It‘s clear by now AI is the innovation you can’t ignore as it‘s the amplifier for everything! Your turn: Which of these 13 frontier trends excites, or worries you most?

🤖 Europe’s Humanoid Robotics Moment When people talk about humanoid robots, the conversation usually jumps straight to the US and China. Thinking of Europe, here’s a couple of humanoid robotics companies coming to my mind. 🇪🇸 PAL Robotics (Spain) - One of the longest-standing humanoid pioneers, focused on real-world mobility and service robotics. 🇩🇪 NEURA Robotics (Germany) - Pushing cognitive humanoids designed for industrial work and human–robot collaboration. 🇬🇧 Engineered Arts (UK) - Building the world’s most expressive humanoids for communication, interaction, and emotion-driven design. 🇬🇧 Humanoid (UK) - A rising startup reinventing how robot embodiment and AI merge. 🇳🇴 1X Technologies (Norway) - Backed by OpenAI, developing humanoids for security, logistics, and home tasks. 🇨🇭 Hexagon Robotics (Switzerland) - A Swiss player bringing precision engineering into the humanoid space. 🇬🇧 Kinisi Robotics (UK) - Designing human-adaptive movement systems for advanced mobility and assistance. 🇫🇷 Enchanted Tools (France) - Blending robotics with character-driven design to create socially intuitive, expressive humanoid helpers. 🌍 Why this matters Humanoid robots are moving from research labs to pilot projects in logistics, manufacturing, healthcare, security, hospitality, and public services. These robots unlock entirely new workflows in environments built for humans, for now. 🔍 ... meanwhile, in China… China’s government has just warned about a potential humanoid robotics bubble: too many companies, too fast, chasing hype instead of validated demand. It’s an important signal. (source: Bloomberg) My values: human-centred technology, sustainable, safe and profitable. 👉 Where do you see the strongest opportunities for humanoids deployment in Europe? Let’s open the conversation. PAL Robotics, NEURA Robotics, Engineered Arts, Humanoid, 1X, Hexagon AB, Kinisi, Enchanted Tools, Women in Robotics Switzerland, Women in Robotics, Kateryna Portmann, MBA, Nadja N., Ivo Strohhammer, Jesica Chavez 🤖🎙️, Brennand Pierce, David Reger, Jaime E. Duarte, Rohit Srivastava

Who’s more useful between C3PO and R2D2? 🤖✨ If you’re a Star Wars fan, you’ve likely debated this question. But behind the nerdy fun lies a serious and fascinating topic about the future of robotics—one of the defining Top 5 tech trends of 2025 we’ve identified. Yes, #robots have been around for decades. But until now, they’ve often been constrained to specific, repetitive tasks with little ability to adapt or learn on the go. The all-purpose, adaptable humanoid robots of science fiction—like C3PO, our beloved gold-plated majordomo—have remained just that: FICTION. But #GenAI isn’t just a powerful tool for humans—it’s becoming a game-changer for robots too: 🤖 Multimodal perception: LLMs enable robots to process and “understand” multiple forms of input—text, audio, and video—similar to how tools like ChatGPT operate today. 🚶♀️ Humanlike behavior: GenAI can also help robots mimic behaviors such as walking, talking, and interacting naturally with their surroundings. 🔄 Adaptability: Advanced AI reasoning capabilities will also allow robots to take on new tasks with minimal retraining, moving closer to real-world versatility. It’s no wonder robotics—and particularly humanoid robots—are grabbing headlines lately. Yet, the humanoid robot may be something of a red herring. Just like R2D2, the real revolution might lie in the far less glamorous—but immensely impactful—world of collaborative robots (#cobots) and autonomous machines. For example: 🏭 Xiaomi’s robotic factory: Last summer, Xiaomi announced its latest fully automated robotic factory, set to produce 10 million smartphones per year without any human intervention. https://lnkd.in/evP_93cV 🩺 AI-powered surgical robots: These can now learn new surgical procedures just from watching videos. https://lnkd.in/e4atvKD4 🧪 AI-driven research robots: Researchers at the University of Liverpool have built mobile robots capable of conducting chemical synthesis, analyzing results, and making decisions faster than humans, accelerating breakthroughs in drug discovery and materials science. https://lnkd.in/ezB8JefW Whether humanoid or not, AI robotics will quietly reshape many industries. China alone accounts for as many robots as the rest of the world combined, and its share in this market is climbing rapidly. This isn’t just a race for technological supremacy—it might be the foundation of the next industrial revolution. What’s your take? Are humanoid robots the future—or is the real shift happening in quieter, less visible ways? #Top5TechTrends https://lnkd.in/e3SWs4iN Sally Epstein

AI, Robotics, and Clean Energy Are Transforming 80% of the World’s Jobs For the last few years, most discussions about AI and automation have focused on knowledge work: coders, analysts, writers, lawyers, marketers. But according to the World Economic Forum’s 2025 “Jobs of Tomorrow” report, that’s only part of the story — and increasingly, not the most important one. The real transformation is happening in the work that keeps the world running: . Agriculture . Manufacturing . Construction . Retail & Trade . Transport & Logistics . Business & Management . Healthcare Together, these seven job-families represent 80% of the global workforce — and every one of them is being reshaped by four technologies: Artificial intelligence, robotics, clean energy systems, and connected digital infrastructure. In boardrooms, AI is often discussed through a white-collar lens: productivity tools, coding assistants, or knowledge retrieval systems. But across the globe, change is already underway in very different environments. 1. In agriculture, AI-driven drones monitor crops and distribute fertilizers precisely, reducing waste and increasing yields. 2. In construction, semi-automated equipment is making sites safer and less physically demanding. 3. In healthcare, sensor networks and robotics are supporting medical teams under strain. 4. In logistics, predictive systems are optimizing routes and fuel use. 5. In retail, digital platforms and robotics are redefining supply chains and fulfillment. This isn’t a “future scenario.” It’s today — unfolding quietly, and often away from the spotlight of AI headlines. What Leaders Should Focus On 1. Bring AI strategy beyond the office. Future competitiveness depends on how technology diffuses into operations, logistics, and frontline work — not just digital functions. 2. Invest in large-scale reskilling. Skills in robotics maintenance, energy systems, and digital coordination are becoming as vital as data literacy once was. 3. Design technology with inclusion in mind. Adoption that deepens divides is bad business. Technology that expands opportunity creates resilience. 4.Build human-machine collaboration models. The goal is not substitution, but synergy — a workforce that combines human creativity with machine precision.