{"id":15290,"date":"2025-11-07T08:00:00","date_gmt":"2025-11-07T07:00:00","guid":{"rendered":"https:\/\/holistic.news\/en\/?p=15290"},"modified":"2026-01-08T15:03:42","modified_gmt":"2026-01-08T14:03:42","slug":"the-multifunctional-robot-that-flies","status":"publish","type":"post","link":"https:\/\/holistic.news\/en\/the-multifunctional-robot-that-flies\/","title":{"rendered":"The Multifunctional Robot Redefining Mobility: It Even Flies"},"content":{"rendered":"\n

Robot and Drone Integration: A Perfect Duo<\/h2>\n\n\n\n

The X1 System<\/strong> is the result of three years of work aimed at merging two independent machines into one. This involves a humanoid walking robot<\/strong> and a flying drone<\/strong> that can also move on wheels when needed. Each of these devices has limitations on its own and cannot cope well in every situation. However, together, they create a nearly ideal duo. How did they achieve this integration?<\/p>\n\n\n\n

Flying, Walking, and Driving\u2014The X1 Multifunctional Robot Does It All<\/h3>\n\n\n\n

The project utilized the G1 humanoid robot<\/a> from Unitree. While its movement capabilities are impressive, it remains a relatively slow and unstable machine. Stairs, water obstacles, or narrow passages present a challenge to its rapid movement. Therefore, the scientists came up with an idea: use the G1 as a<\/strong> mobile landing platform for the drone<\/strong>.<\/p>\n\n\n\n

The G1 carries the M4 drone on its back<\/strong>. This device is particularly interesting because, when necessary, its rotors can rotate 90 degrees and transform into wheels. Consequently, the system achieves full integration of three types of movement: walking, flying, and driving. That is why the X1 system is a true multifunctional robot.<\/p>\n\n\n\n

The Robot Learned Autonomous Navigation<\/h2>\n\n\n\n

As Caltech<\/a> describes on its website, work on the system spanned three years. The team had to modify the humanoid G1 not only to mimic human movements but also to navigate the terrain independently<\/strong>. Teaching it to walk with the additional load on its back was crucial, as the mounted drone shifted the robot’s center of gravity.<\/p>\n\n\n\n

Mathematical Learning of Movement<\/strong><\/h3>\n\n\n\n

What truly sets X1 apart from other robots is its method of learning movement<\/strong>. Most robots of this type operate on the principle of imitation: they record human gestures and scale them to their dimensions. X1 is different. The Caltech team created mathematical models<\/strong> describing the physics of movement<\/strong> and then combined them with machine learning techniques. The result?<\/p>\n\n\n\n

A robot that understands the principles of walking<\/strong> at a fundamental level and can adapt to unknown situations. It doesn’t require pre-recorded patterns for every possible scenario. Moreover, when the need arises, it changes its mode of movement and, instead of walking further, launches the drone placed on its back.<\/p>\n\n\n\n

First Tests of the X1 System<\/h2>\n\n\n\n

The X1 robot was commanded to navigate a route consisting of sections requiring different techniques to overcome them<\/strong>. During the demonstration, the humanoid robot walked through the university library building, exited outside, and bent at the waist so the M4 drone could take off. The drone flew a short distance, landed, and transformed into a wheeled vehicle to efficiently cover the ground distance. When it encountered a pond, it ascended into the air again and flew over the obstacle.<\/p>\n\n\n\n