21.09.2026
People use door handles without thinking. This is a skill learned naturally during childhood. The brain, eyes, and muscles work together seamlessly. Humans complete this process without even noticing it. Robots, however, perform the same task in a very different way. Every movement must be calculated, analyzed, and verified. As a result, even simple actions become complex processes.
A robot must first locate the door. Cameras continuously scan the surrounding environment while artificial intelligence analyzes the visual data in real time. The system identifies the door handle and distinguishes it from other objects. It then calculates the handle's height and determines its orientation, because not every door uses the same design. Some doors have lever handles, while others use round doorknobs. The robot must evaluate every possibility.
Simply detecting the door handle is not enough. The robot must also calculate the correct distance. It needs to move its arm at the proper angle and position its fingers with the right opening. At the same time, it must determine how much force to apply. Too much force can damage the mechanism, while too little force may prevent the handle from moving. Humans make these adjustments instinctively through touch. Robots rely on data collected from sensors.
Once the robot's hand reaches the door, a new stage begins. Its fingers carefully grasp the handle while pressure sensors continuously send feedback. The system adjusts the applied force in real time because every door offers different resistance. Older doors may require more force, whereas newer mechanisms move more smoothly. The robot must quickly adapt to these variations.
Turning the handle alone is not enough. The robot must simultaneously push or pull the door. This is where one of the greatest challenges arises. It has to coordinate two different motions at the same time while also estimating the weight of the door. Environmental factors such as wind or floor inclination can further affect the process. As a result, the system continuously performs new calculations throughout the task.
A Simple Action for Humans, a Complex Challenge for Robots
The human brain learns from years of experience, making it easy to open an unfamiliar door. A robot, however, must analyze every new environment from scratch. Artificial intelligence first interprets the surroundings and then generates the most appropriate motion plan. This entire process takes place within milliseconds, yet matching the natural reflexes of a human remains a significant challenge.
In recent years, tactile sensing technology has made remarkable progress. Engineers have equipped robotic fingers with electronic skin, allowing robots to measure contact forces with much greater precision. Some systems can even detect surface textures. Meanwhile, AI models continue learning from experience. Every successful attempt improves the robot's knowledge, while unsuccessful actions are stored for future reference. This enables the robot to make better decisions in subsequent tasks.
This capability is essential for the widespread adoption of humanoid robots in homes. Everyday life involves much more than opening doors. Drawers, cabinets, and windows all require similar manipulation skills. Robots must be able to interact with all of these objects safely and reliably. Otherwise, they cannot fully adapt to human environments.
Opening a door handle may appear to be an ordinary task. Yet robotics engineers have spent years refining this capability because it combines computer vision, balance, force control, and artificial intelligence into a single operation. A robot that can reliably open a door today has the potential to perform far more complex tasks safely in tomorrow's hospitals, factories, and homes.