Only 30 seconds! Plug Insertion programming and automation in 30 seconds through the Sense of Touch from @BotaSystems If you didn’t meet us at ROSCon in Toronto come in Pittsburgh at IROS next week to see it live.

Click - Record - Replay with TACTO. That is what easy automation is. Ask us what you wanna see next. 😉 Stay tuned - we will come back with a new video on a regular basis.

The Foundation for Physical AI is the hardware itself and the data it spits out! Hard tasks to automate, are contact rich tasks. An AI needs to feel, in order make the best decision on how to move a robot. Therefore, if you want to automate using Robots and AI, you should equip your machine with the right sensing system. If you want to have the best AI models tomorrow better start collecting the right data today. Here is an example of automating RJ-45 connector plugin in under 1-minute. Robots can move with sub-millimeter precision, but delicate assembly tasks require more than accurate positioning. Take Ethernet plug insertion as an example. Small tolerances, connector misalignment, cable flexibility, and contact forces make the task challenging. A purely position-controlled robot can easily jam the connector, damage components, or fail the insertion altogether. The key is true force sensing combined with force control. The Bota Systems AG Physical AI Platform, TACTO, is the most modern tool for flexible automation of manufacturing. It is used to record, replay, train and infer any task in real time. Robots can continuously perceive interaction forces and adapt their motion in real time. Instead of blindly following a trajectory, the robot can detect contact, align with the insertion axis, regulate insertion forces, and react to unexpected variations in the environment. This ability is essential not only for Ethernet plug insertion but also for many high-value assembly operations, including connector mating, electronics manufacturing, precision assembly, and other tasks where touch matters as much as vision. Physical AI requires more than cameras and position feedback. To perform human-like manipulation, robots need a sense of touch.

Shown 1 time - replayed with 100% Success Rate. Maybe the most effective way to program a robot do repetitive boring tasks and get some benefits from automation of physical tasks.

Is haptic teleoperation the most promising method to collect the right data for Physical AI? We don’t have an answer to this question but we know it works and is the most cost effective solution at the moment to program a robot! The Leader feels exactly what the Follower is feeling, and this is be transferred to a Physical AI. Complex trajectories over unstructured environments become much easier to program. We will be talking about this and other data collection methods and their future over the upcoming webinar with on 20th of May. The spots are slowly filling up. Make sure you subscribe ASAP so we prepare the ground. kinovarobotics.com/resource/… At Bota Systems AG we enable teleoperation, kinesthetic teaching, handheld devices and more with the most reliable force sensing solutions.

Force data will play a critical role across every stage of Physical AI! • Demonstration – Recording episodes becomes more intuitive, safer, and significantly more precise. • Training – Models learn not just motion, but interaction—capturing the nuances of contact through force signals. • Inference – With real-time force sensing, models can achieve near-perfect success rates, even in complex, contact-rich tasks. In the video below, we demonstrate this by training a simple model that leverages force data end-to-end. As manufacturing evolves, Physical AI will accelerate the adoption of robotics. The key question isn’t if this shift will happen—but how it scales across each stage and what the underlying economics will look like. That’s where the real transformation begins. At Bota Systems AG we believe that anything humans can coordinate with their eyes and control with their hands can be replicated by an AI-driven robot — provided it can feel the world as we do.

“Don’t skip force sensors” - Fully aligned here at Bota. Thanks for sharing insights from the technical journey of @Tesla_Optimus , @K0nstantin0s_ . It was a great talk addressing all technical challenges and the way forward for humanoids that make sense. An artist of motor optimisation and one of the few of his kind. Happy to see National Technical University of Athens alumnies like Konstantinos still sharpening their engineering excellence throughout the biggest technology companies worldwide and making the impossible - possible. @Tesla might be the only company that has all required resources, infrastructure, know how, and momentum for humanoid technology to make financial sense. A technology that might be able to match or surpass the impact level of Ford and Toyota in manufacturing. At Bota we enable humanoids and other robotic systems to interact with the maximum precision, safety and usability in the era of Physical AI. Many thanks to @ethroboticsclub for organizing this Inspire Talk.

@BotaSystems is 10x Faster at Real-World Data Collection Force sensitivity is the key to making robots truly collaborative and capable. To push the boundaries, we’ve been working on fine-tuning a VLA model that changes the game for data efficiency: botasys.com/physical-ai

Better together. 🤝 Starting from Athens last Christmas we did the same in Zurich. This time the crowd was massive. More than 400 attendees and many from around the world 🌍 joined us. Organizing yesterday’s Zurich Robotics Meetup with my friend @_dario_b_ and TheRoboticsClub was a highlight of February. We started this with a simple goal: to bring the local robotics community closer together. It became bigger than we expected 😅 It wouldn’t have been possible without our entertaining guests Marco Hutter from ETH Zürich, Edo Jelavić from @GravisRobotics , Eris Dhionis Sako from @Duatic , Giorgio Valsecchi from @RIVR, Manuel Yves Galliker , Dario Bellicoso from RAI Institute , and myself (😂) from @BotaSystems . @leggedrobotics Lab Alumni sent a message to how a strong robotics community looks like. Seeing the deep-dive technical conversations and the new connections made over drinks made all the planning worth it. Stay tuned and see how the Zurich Robotics community will create an impact and add socioeconomic value. If you missed this one, don't worry—we’re just getting started. Swipe left to see some highlights from the night! 📸

Zurich in February will be covered in Roboticists! 250 RSVPs! 14 days to go! Don’t miss it! Still spots available Subscribe here: luma.com/oouk1ecu