The quadruped robot plays bádminton with you using ai

In the Robotic Systems Laboratory of ETH Zurich, engineers have created Anymal-D, a four-legged robot that can play badminton with people.

This project gathers robotics, artificial intelligence and sports, which shows how advanced robots can face dynamic and accelerated games.

Anymal-D design and skills are opening new possibilities for the collaboration of Human-Robot in sports and beyond.

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How does Anymal-D Bádminton play with humans?

Badminton is a game that requires a fast feet game, fast reactions and a precise hand-red coordination. To give a chance to a robot on the court, the Eth Zurich equipment Equipped Anymal-D with four legs for stability and agility, a dynamic arm to balance the racket and a stereo camera to track the shuttlecock. The robot uses a reinforcement -based controller, which allows it to predict and react to the Shuttlecock movement in real time. Anymal-D can move around the court, adjust its posture and timet their changes, maintaining manifestations with human players for up to 10 shots.

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The technology behind Anymal-D Bádminton’s skills

The Anymal-D stereo camera serves as its eyes, constantly monitoring the Shuttlecock. The robot uses a “perception noise model” to compare what he sees with the training data, which helps track the shuttlechck even when it moves unpredictably. The robot can launch its body to keep the Shuttlecock in view, imitating how a human player could lean for a difficult shot.

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Unified reinforcement learning for the entire body

Coordinate legs and an arm is difficult for any robot. The ETH Zurich team developed a unified control policy using reinforcement learning, allowing Anymal-D to move and balance as a coordinated whole. This system was trained in simulation, so the robot learned to handle a wide range of shots and situations before entering a real court.

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Hardware integration: What’s inside the robot?

Anymal-D combines a resistant quadrupedal base with the Dynaarm, and its racket is established at an angle of 45 degrees for an effective blow. The state estimate of the robot is executed at 400 Hz, the control policy updates at 100 Hz and the perception system works at 60 Hz. All this is executed in a Jetson AGX Orin module, making the robot respond and be ready for the action.

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Challenges of playing bádminton with a robot

Making the legs and the robot arm work without problems is an important challenge. Most robots handle these tasks separately, but this limits agility. By combining the locomotion and arm control in a single system, Anymal-D can adjust its position and marches depending on the road of Shuttlecock, moving more as a human player.

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Active perception: how Anymal-D sees the game

The robots do not have human eyes, so their cameras can fight with the picture speeds and the field of vision. The Anymal-D perception controller maintains its moving camera without problems, always tracking the Shuttlecock. The perception noise model helps close the gap between simulation and real coincidences, which makes the robot more reliable during games.

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Real world display: take the robot to the court

Bringing Anymal-D from the laboratory to the Bádminton court meant dealing with practical issues such as power limits and communication delays. Despite these challenges, the robot managed to keep up with human players, respond to different shooting speeds and landing positions, and maintain manifestations that showed their adaptability and ability.

Anymal-D Badminton’s performance: What do the tests show?

In collaboration games with amateur players, Anymal-D tracked, intercepted and returned Shuttlecocks with impressive consistency. On average, it took about 0.357 seconds to process the trajectory of Shuttlecock after a human blow, leaving just over half a second to get in position and shoot. Although they did not return each shot, the ability of the robot to maintain manifestations and adapt to the rhythm of the game stands out to what extent robotics has reached dynamic sports scenarios.

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Kurt’s Key Takeways

Anymal-D really shows how far robotics has come, especially when it comes to working with people in fast rhythm activities such as Bádminton. It is interesting to see a robot not only keep up on the court, but actually meet with human players and adapt to the game as it develops. As these technologies continue to improve, it is easy to imagine more robots that bind us in all kinds of sports and activities, making play and teamwork even more fun for everyone.

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Would you be curious to play a game against a robot like Anymal-D, or do you think nothing can replace the experience of playing the Badminton with another human? Get us knowing in Cyberguy.com/contact.

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