Robot dog improves movement efficiency by mimicking human motion patterns

Researchers at the Technical University of Munich have developed a tool that improves robot movement by mimicking natural human and animal oscillation patterns. This tool was tested on BERT, a robotic dog, which achieved faster and more efficient movement compared to traditional methods. The new approach allows robots to use energy-efficient gaits like walking, trotting, and hopping. These movements align with the robot's natural oscillation, demonstrating that robots can replicate the effortless motion seen in humans and animals. In experiments, BERT outperformed other robots in speed and dynamics, highlighting the effectiveness of using natural oscillation patterns for robotic movement. This innovation could lead to more adaptable and efficient legged robots.