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Pollack Periodica
Authors:
Masy Ari Ulinuha
,
Eko Mulyanto Yuniarno
,
I. Ketut Eddy Purnama
, and
Mochamad Hariadi

. Klasing , D. Althoff , D. Wollherr , and M. Buss , “ Comparison of surface normal estimation methods for range sensing applications ,” in IEEE International Conference on Robotics and Automation , Kobe, Japan , May 12–17, 2009 , 2009 , pp

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strengthen their market position. For the question on the internal training programme, managers could select more than one response option. Most respondents thought that data protection, mobile technologies, apprenticeship programmes, and robotics were the

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whale optimization algorithm ,” Adv. Eng. Softw. , vol. 95 , pp. 51 – 67 , 2016 . [15] B. M. Das , Principles of Foundation Engineering . Thomson Brooks , 2007 . [16] H. N. Ghafil and K. Jármai , Optimization for Robot Modeling with

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, 2023 . [7] L. Yiyang , J. Xi , B. Hongfei , W. Zhining , and S. Liangliang , “ A general robot inverse kinematics solution method based on improved PSO algorithm ,” IEEE Access , vol. 9 , pp. 32341 – 32350 , 2021 . [8] H. Nobahari

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body (i.e., with and without additional load). Individuals wore an immobilizer boot with a robotic ankle-foot prosthetic emulator to imitate an amputation. The prosthetic emulator was programmed to follow five ankle stiffness conditions based on human

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, system and challenges ,” Int. J. Computer Appl. , vol. 14 , no. 1 , pp. 19 – 27 , 2011 . [15] G. H. Nasir and K. Jármai , “ Kinematic-based structural optimization of robots ,” Pollack Period. , vol. 14 , no. 3 , pp. 213 – 222 , 2019 . [16

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,” Appl. Soft Comput. , Paper no. 106392 , 2020 . [11] H. N. Ghafil and K. Jármai , “ Kinematic-based structural optimization of robots ,” Pollack Period. , vol. 14 , no. 3 , pp. 213 – 222 , 2019 . 10.1556/606.2019.14.3.20 [12] S. Mirjalili

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wearable sensors ,” Rob. Auton. Syst. , vol. 75 , Part A , pp. 50 – 59 , 2016 . 10.1016/j.robot.2014.10.012 [4

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, W. Burgard and D. Fox , Probabilistics Robotics . The MIT Press , 2005

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optimization of robots ,” Pollack Period. , vol. 14 , no. 3 , pp. 213 – 222 , 2019 . [4] X. S. Yang , Nature-inspired Metaheuristic Algorithms . Luniver Press , 2008 . [5] N. J. Cheung , X. M. Ding , and H. B. Shen , “ Adaptive firefly

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