BLUF

Scientists have trained the quadruped robot ANYmal to play badminton using AI and reinforcement learning, demonstrating advanced coordination of vision, limb movement, and decision-making, with potential applications in dynamic task performance beyond sports

Learning Outcomes

  • Understand the integration of AI, reinforcement learning, and multi-joint coordination in autonomous robotics.
  • Evaluate how dynamic visual perception and locomotion control can be applied to real-world operational environments.
  • Explore potential uses of agile AI-powered robots for disaster relief, logistics, and complex terrain navigation.

References