In recent years, with the improvement of computer vision technology, intelligent following robots have also been rapidly developed, greatly improving people's lives. This paper mainly studies the design and implementation of intelligent robot following system considering finite difference method. In this paper, the liDAR sensor, servo motor and control board of the tracking robot system are debugged under the ROS system, and the software and hardware platform of the tracking robot system are built and tested with the modular engineering thinking. The object detection of the following robot system is studied with finite difference method. Through field experiments in complex indoor environment and outdoor corridor, the real-time performance and effectiveness of the robot target following system are verified.

McMaster Tacgin. Implementation of Intelligent Robot Following System Considering Finite Difference Method. Kinetic Mechanical Engineering (2020), Vol. 1, Issue 2: 9-16. https://doi.org/10.38007/KME.2020.010202.

[1] Yan Q, Huang J, Yang Z, et al. Human-following control of cane-type walking-aid robot within fixed relative posture. IEEE/ASME Transactions on Mechatronics, 2020, 27(1): 537-548. https://doi.org/10.1109/TMECH.2020.3068138

[2] Sapietová A, Saga M, Kuric I, et al. Application of optimization algorithms for robot systems designing. International journal of advanced robotic systems, 2018, 15(1): 1729881417754152. https://doi.org/10.1177/1729881417754152

[3] Kubo R, Fujii Y, Nakamura H. Control Lyapunov function design for trajectory tracking problems of wheeled mobile robot. IFAC-PapersOnLine, 2020, 53(2): 6177-6182. https://doi.org/10.1016/j.ifacol.2020.12.1704

[4] Feingold-Polak R, Barzel O, Levy-Tzedek S. A robot goes to rehab: a novel gamified system for long-term stroke rehabilitation using a socially assistive robot-methodology and usability testing. Journal of NeuroEngineering and Rehabilitation, 2020, 18(1): 1-18. https://doi.org/10.1186/s12984-021-00915-2

[5] Abdulhamid M, Mutheke M. Design of Digital Control System for Line Following Robot. Technological Engineering,, 2018, 15(2): 48-52. https://doi.org/10.1515/teen-2018-0018

[6] Le T D, Ponnambalam V R, Gjevestad J G O, et al. A low‐cost and efficient autonomous row‐following robot for food production in polytunnels. Journal of Field Robotics, 2020, 37(2): 309-321. https://doi.org/10.1002/rob.21878

[7] Saravanan D, Perianayaki E R A, Pavithra R, et al. Barcode System for Hotel Food Order with Delivery Robot//Journal of Physics: Conference Series. IOP Publishing, 2020, 1717(1): 012054. https://doi.org/10.1088/1742-6596/1717/1/012054

[8] Jiang B, Karimi H R, Yang S, et al. Observer-based adaptive sliding mode control for nonlinear stochastic Markov jump systems via T-S fuzzy modeling: Applications to robot arm model. IEEE Transactions on Industrial Electronics, 2020, 68(1): 466-477. https://doi.org/10.1109/TIE.2020.2965501

[9] Sibilska-Mroziewicz A, Możaryn J, Hameed A, et al. Framework for simulation-based control design evaluation for a snake robot as an example of a multibody robotic system. Multibody System Dynamics, 2020, 55(4): 375-397. https://doi.org/10.1007/s11044-022-09830-3

[10] Neloy A A, Bindu R A, Alam S, et al. Alpha-N-V2: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System. Vietnam Journal of Computer Science, 2020, 7(04): 373-389. https://doi.org/10.1142/S2196888820500219

[11] Čech M, Wicher P, Lenort R, et al. Autonomous mobile robot technology for supplying assembly lines in the automotive industry. Acta logistica, 2020, 7(2): 103-109. https://doi.org/10.22306/al.v7i2.164

[12] Al-Shabi M, Hatamleh K S, Gadsden S A, et al. Robustnonlinear control and estimation of a PRRR robot system. International Journal of Robotics and Automation, 2019, 34(6): 632-644. https://doi.org/10.2316/J.2019.206-0160

[13] Gradolewski D, Maslowski D, Dziak D, et al. A distributed computing real-time safety system of collaborative robot. Elektronika ir Elektrotechnika, 2020, 26(2): 4-14. https://doi.org/10.5755/j01.eie.26.2.25757

[14] Khoramshahi M, Billard A. A dynamical system approach for detection and reaction to human guidance in physical human-robot interaction. Autonomous Robots, 2020, 44(8): 1411-1429. https://doi.org/10.1007/s10514-020-09934-9

[15] Dudzik S. Application of the Motion Capture System to Estimate the Accuracy of a Wheeled Mobile Robot Localization. Energies, 2020, 13(23): 6437. https://doi.org/10.3390/en13236437

[16] Zhonglin Z, Bin F, Liquan L, et al. Design and function realization of nuclear power inspection robot system. Robotica, 2020, 39(1): 165-180. https://doi.org/10.1017/S0263574720000740

[17] Morales Bieze T, Kruszewski A, Carrez B, et al. Design, implementation, and control of a deformable manipulator robot based on a compliant spine. The International Journal of Robotics Research, 2020, 39(14): 1604-1619. https://doi.org/10.1177/0278364920910487

[18] Khoramshahi M, Billard A. A dynamical system approach to task-adaptation in physical human-robot interaction. Autonomous Robots, 2019, 43(4): 927-946. https://doi.org/10.1007/s10514-018-9764-z