Author(s)

Chunhua Feng ¹, Shuyuan Tian ¹

Affiliation(s)

¹ School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

Corresponding Author

Chunhua Feng

ABSTRACT

With the continuous development of science and technology, the application scope of robots has expanded from simple tasks to more complex and diverse fields. The application of mechanical control engineering courses in robotics is very broad. For example, the application of robots in complex scenarios combines multiple sensor data to improve the accuracy and robustness of robots. In this paper, a prediction model with angle as variable is designed to improve the accuracy and robustness of the robot in the scenario of tracking dynamic target objects. By obtaining the position information of the first three joints of the robot arm, the expected position difference between the robot arm and the target object is set as the cost function. The multi-sensor data is used for iteration to minimize the objective function. The robot arm outputs the optimal control strategy in a dynamic environment to realize the control method in the process of dynamically tracking the target. 

KEYWORDS

Robot, Mechanical control engineering, Dynamic tracking

CITE THIS PAPER

Chunhua Feng, Shuyuan Tian, Application of Robot Dynamic Tracking Predictive Control in Mechanical Control Engineering Course. Advances in Computer, Signals and Systems (2024) Vol. 8: 1-5. DOI: http://dx.doi.org/10.23977/acss.2024.080601.

REFERENCES

[1] Patni S.P., Stoudek P., Chlup H., et al. (2024) Online elasticity estimation and material sorting using standard robot grippers. The International Journal of Advanced Manufacturing Technology, 132(11-12): 6033-6051. 
[2] Singh A., Kalaichelvi V., Karthikeyan R. (2024) Machine learning-based multi-sensor fusion for warehouse robot in GPS-denied environment. Multimedia Tools and Applications, 83(18): 56229-56246. 
[3] Angleraud A., Ekrekli A., Samarawickrama K., et al. (2024) Sensor-based human-robot collaboration for industrial tasks. Robotics and Computer Integrated Manufacturing: An International Journal of Manufacturing and Product and Process Development, 86: 1-11.
[4] Deng Y. M., Wang S. Y. (2023) Biological Eagle-eye Inspired Target Detection for Unmanned Aerial Vehicles Equipped with a Manipulator. Machine Intelligence Research, 20(5): 741-752.

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