Robots flail. They freeze. Or they crash into their own limits. That’s the reality when engineers try to port a skill from one arm to another. Different joint lengths. Varying offsets. Singularity zones where motion turns infinite or unstable. Traditional fixes demand retraining—hours of data, tweaks per machine. No more. A team at Switzerland’s École Polytechnique Fédérale de Lausanne has built kinematic intelligence , a control framework that maps a robot’s physical boundaries mathematically right from the start. Demonstrate once. Execute anywhere. Safely. The core insight hit during tests on assembly lines. Picture three arms: Duatic DynaArm with tight joint limits, KUKA LWR IIWA 7 in the middle, Neura Robotics Maira M with loose boundaries. A human guides one through a sequence—push an object off a conveyor, pick and place it on a bench, grab and toss into a basket. Swap the robots. Without kinematic intelligence, the DynaArm might lock up on the throw. The KUKA could jam pushing. But with it?…