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Research on Jumping Robots Simulation and Control System based on Matlab Environment

Published: 03 May 2024 Publication History

Abstract

The jumping robot is a special robot with many advantages such as fast speed, low energy consumption, strong environmental adaptability, and strong obstacle crossing ability. Therefore, jumping robots have a wide range of application prospects in military reconnaissance, rescue activities and other fields. However, existing jumping robots development concentrates on the mechanical constructions and ignores the optimization through virtual simulations. In this paper, we employed a multi-phased approach with the jumping robots design of a basic simulation model in Matlab. Subsequently, the control algorithms were integrated and tested including proportional-integral-derivative (PID) control. Further, the model will adjust the robots structures through simulation iterations and optimize the robots through machine learning-based controllers. Finally, the simulation effectiveness was evaluated through a series of performance metrics such as jump height, stability, and energy efficiency. From our simulation analysis, we can observe that the proposed framework can successfully achieve diverse jumping behaviors with adaptability and efficiency.

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      IoTAAI '23: Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence
      November 2023
      902 pages
      ISBN:9798400716485
      DOI:10.1145/3653081
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 03 May 2024

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