Digital Event Horizon
Researchers at the Technical University of Munich (TUM) have developed a novel tool that enables robots to move with remarkable economy by mimicking the natural oscillation patterns of human and animal bodies. This breakthrough has significant implications for the development of robots that can interact efficiently with humans and perform complex tasks.
R researchers at TUM developed a tool that mimics natural oscillation patterns of human and animal bodies to enable robots to move efficiently.The study focuses on "efficient and versatile locomotion with legs" and aims to exploit natural oscillation patterns in periodic interaction tasks.Researchers identified six distinct gaits that are exceptionally effortless and would not require energy in a world without friction.A computer-controlled regulator delivers an impulse at the right moment to enable robots to hit natural oscillations.The new tool has been successfully tested on three BERT models, demonstrating improved jumping and movement speeds.The breakthrough has significant implications for robotic development, including efficient interaction with humans and complex tasks.
In a groundbreaking achievement, researchers at the Technical University of Munich (TUM) have successfully developed a novel tool that mimics the natural oscillation patterns of human and animal bodies to enable robots to move with remarkable economy. This innovation has far-reaching implications for the field of artificial intelligence, robotics, and automation.
The study, led by Professor Alin Albu-Schäffer, focuses on "efficient and versatile locomotion with legs" and aims to exploit the natural oscillation patterns of compliant systems in periodic interaction tasks. By analyzing the movement patterns of four-legged animals, such as dogs and horses, researchers identified six distinct gaits that are exceptionally effortless and would not require any energy in a world without friction.
These gait patterns correspond to familiar movements in quadrupeds, including walking, trotting, or hopping. To realize these movements in a natural system with friction, the research team developed a computer-controlled regulator that delivers an impulse at the right moment. This approach enables robots to hit natural oscillations with precise timing, much like a child sitting on a playground swing receiving an energy impulse from their parent.
The new tool has been successfully tested on three BERT models, a four-legged robot designed by Professor Albu-Schäffer at the German Aerospace Centre (DLR). The results demonstrate that robots programmed with the intrinsic movement method tend to jump and move much faster and more dynamically than their siblings, which rely on more conventional movement patterns.
This breakthrough has significant implications for the development of robots that can interact efficiently with humans and perform complex tasks. By mimicking the natural oscillation patterns of living beings, robots can reduce energy consumption and improve overall performance. This innovation also opens up new possibilities for robotic surgery, where precise movements are critical to success.
The researchers' work is part of a broader effort to advance the field of artificial intelligence and robotics. By understanding how humans and animals move, scientists can develop more efficient and effective algorithms for robots to follow. This collaboration between experts in machine learning, computer science, and engineering has led to a deeper understanding of the intricate relationships between movement patterns, energy efficiency, and friction.
As we continue to push the boundaries of artificial intelligence and robotics, this breakthrough serves as a testament to the power of interdisciplinary research. By combining cutting-edge technologies with fundamental insights into human and animal behavior, scientists can unlock new possibilities for robots to move with ease, precision, and efficiency.
Related Information:
https://www.sciencedaily.com/releases/2024/11/241118125806.htm
https://techxplore.com/news/2024-11-tool-intrinsic-dynamics-effortless-robot.html
Published: Mon Nov 18 21:37:11 2024 by llama3.2 3B Q4_K_M
