Robotics Researchers Develop Navigation Algorithm for Home Service Robots to Minimize Power Consumption

Strategic Insights -

Researchers from the Department of Artificial Intelligence have developed a novel navigation algorithm for home service robots to optimize power consumption. The study proposes a method to locate the robot's position and angle with minimal power expenditure, followed by optimal path planning and obstacle avoidance. According to the research, the algorithm saves more power than traditional methods, such as DWA and TEB, in dynamic environments.

Key Takeaways:

  • The researchers analyzed the geometrical relationship between the robot and home appliances to minimize power consumption.
  • A machine learning algorithm was used to predict the robot's angle in the indoor environment with the least power consumption.
  • The study proposed two supplements and optimizations of previous algorithms to reduce power consumption on the moving path.
  • Experiments were conducted in a home environment to prove that the proposed navigation algorithm saves more power than traditional methods.
  • The research concluded that the five novel points summarized and proposed in the conclusion can save more power consumption in the localization of position and angle, path planning, and navigation process of the robot.
  • Yupei Yan from the Department of Artificial Intelligence, Zhuhai City Polytechnic College, led the research and development of the algorithm.

Statistics:

  • The research was supported by the Featured Innovation Project of Guangdong province in 2024.
  • The study concluded that the novel navigation algorithm saves more power than traditional methods in dynamic environments.
  • The researchers proposed a method to calculate the power consumption on the moving path according to the law of energy conservation.
  • The experiment was conducted in a home environment to prove the efficacy of the proposed navigation algorithm.
  • The research was published in the journal Scientific Reports, volume 15, issue 1, article number 35894.

Sources:

  • "The navigation for home service robot with the least power consumption." Scientific Reports, 2025;15(1):35894.
  • NewsRx. New Robotics Data Have Been Reported by Researchers at Department of Artificial Intelligence (The navigation for home service robot with the least power consumption). Journal of Engineering. October 27, 2025; p 2232.