A New Approach to Robot Movement Using Quantum Computing
Researchers from Shibaura Institute of Technology, Waseda University, and Fujitsu have introduced a groundbreaking method that allows robots to move more smoothly and efficiently by leveraging the power of quantum computing. This innovation could significantly change how robots are designed and controlled, especially in complex environments.
Understanding the Challenge
When a robot moves, its computer must determine how each joint should bend so that the end of its limb—such as a hand or foot—reaches the correct position. This process is known as inverse kinematics, and it poses a significant challenge for humanoid robots due to the vast number of possible joint configurations. Traditional computers typically use trial-and-error methods to solve these problems, which can be time-consuming and require substantial computational resources.
The Quantum Solution
The team's new approach uses qubits to represent the position and orientation of each part of the robot. More importantly, they utilize quantum entanglement, a unique feature of quantum mechanics where particles are connected such that the movement of one affects the other. This concept mirrors how real robot joints function, where moving one joint influences the others.
Another key element of this research is the hybrid approach that combines classical and quantum computing. While forward kinematics—calculating where the robot’s hand or foot ends up given certain joint angles—is handled by quantum circuits, the inverse kinematics step is still managed by classical computers. This division of labor allows the system to benefit from the speed advantages of quantum computing while maintaining stability through traditional methods.
Faster and More Accurate Calculations
By implementing this hybrid model, the researchers were able to reduce the number of calculations needed. Tests on Fujitsu’s quantum simulator demonstrated that the method reduced errors by up to 43% compared to classical methods and operated faster. The results were further validated using a 64-qubit quantum computer developed with RIKEN.
In one test, the team attempted to calculate the movements of a full-body robot with 17 joints—similar to a human. Normally, this would require an impractical amount of computing power and take approximately 30 minutes to complete. With the new method, this task became significantly more manageable.
Implications for Future Robots
This breakthrough has important implications for future robots, particularly humanoid robots that work closely with humans. These robots need to move fluidly, respond quickly, and navigate complex environments in real time. Current methods often simplify the model, such as reducing the number of joints in the calculation from 17 to 7, which leads to stiff and less lifelike movements.
With the new quantum-based method, smoother and more realistic robot movement could become possible. Moreover, the technology is already compatible with today’s "NISQ" (Noisy Intermediate-Scale Quantum) computers—machines that are not yet perfect but are usable for specific tasks.
In the long term, this technology could enhance various robotic applications, including real-time control, obstacle avoidance, multi-joint manipulators, and energy optimization tasks.
Looking Ahead
The researchers believe that their approach could see further improvements if combined with advanced quantum algorithms, such as the quantum Fourier transform, which might accelerate calculations even more. By integrating quantum computing with robotics, the team has made a significant leap toward developing the next generation of intelligent, human-like robots.
Takuya Otani from the Shibaura Institute of Technology and Atsuo Takanishi from Waseda University collaborated on this research, alongside Nobuyuki Hara, Yutaka Takita, and Koichi Kimura from Fujitsu Limited. This research was published in the Scientific Reports journal.
0 comments:
Ikutan Komentar