The Smooth Coordination Between Intelligent AI Robot and Traditional Japanese Game "Kendama"

The Smooth Coordination Between Intelligent AI Robot and Traditional Japanese Game "Kendama"

29, March, 2024

With techniques requiring precision and dexterity, does this game pose a challenge for Mitsubishi Electric's intelligent AI robot?


Kendama is a traditional Japanese game made of wood. This game consists of a stick called Ken and a ball with a hole, called Dama, both connected by a string.

Thân Ken có 4 vị trí để hứng bóng là hai vị trí đối xứng, phần đáy và phần đầu nhọn. Người chơi sẽ tung quả bóng lên để bóng rơi vào vị trí hứng hoặc đầu nhọn. Thoạt nhìn, cách chơi có vẻ khá đơn giản. Tuy nhiên, để có thể làm chủ được nó, bạn phải cần đến rất nhiều kỹ thuật khác nhau như cân bằng bóng, tính toán lực tung… để đưa được bóng vào đúng vị trí.  

The Ken stick has 4 positions to catch the ball: two symmetrical positions, the bottom, and the sharp end. Players will toss the ball up to make it fall into the catching position or the sharp end. At first glance, the gameplay seems quite simple. However, to master it, you need many different techniques such as balancing the ball, calculating the throwing force, etc., to get the ball into the right position.

VIDEO DESCRIPTION:

The AI robot performs the Kendama traditional Japanese game's ball tossing operation professionally, swiftly, and skillfully.

SOLUTION:

  • The Ken stick is securely attached to the robot's arm.
  • The robot moves the ball to a shield (black) to stabilize the ball.
  • The robot brings the ball to the balanced position to prepare for the ball-tossing operation; force sensors will sense the force when tossing the ball up, helping the robot apply just enough force for the ball to fall into position.
  • The camera sensor 2D locates the ball's position, and then sends the falling ball's position information, helping the robot calculate and adjust the catching position accordingly.

ADVANTAGES:

  • Force sensors: Flexible control of force impact on each operation, helping the robot perform skillful operations like humans while monitoring, storing, and analyzing data to optimize tasks according to each stage.
  • Camera sensor 2D: Captures images and sends the object's coordinate rotation angle on a one-dimensional coordinate system. From there, control the robot's operations to achieve optimal accuracy.
  • Servo technology: Helps the robot achieve accuracy up to 0.01mm, combined with multi-axis joint design, helping the robot move skillfully, and flexibly, meeting complex and delicate job requirements easily.

CONCLUSION:

With the combination of advanced technologies, Mitsubishi Electric's AI robot has easily overcome the challenge in the Kendama game, becoming an expert in performing complex tasks that require meticulousness and skill. This also demonstrates the potential for a future where robots can replace humans in performing tasks that require high precision and flexibility.

Learn more about Mitsubishi Electric's AI Robot applications HERE.