![]() Kuehn D, Schilling M, Stark T, Zenzes M, Kirchner F (2017) System design and testing of the hominid robot charlie. Hussain S, Jamwal PK, Mergen GH et al (2017) Assist-as-needed control of an intrinsically compliant robotic gait training orthosis. Int J Autom Technol 11(3):450–458Įvstigneeva EI, Lekanov AV, Matveev SA, Shirshov AD, Yakovenko NG (2019) Development of the wireless control system for shape of large transformed structures using precision drives. IEEE Commun Mag 55(2):168–174ĭonnici M, Lupinacci G, Nudo P, Perrelli M, Danieli G (2017) Using navi-robot and a ct scanner to guide biopsy needles. IEEE Trans Ind Electron 66(4):3157–3166ĭhillon HS, Huang H, Viswanathan H (2017) Wide-area wireless communication challenges for the internet of things. ![]() Proc IEEE 106(10):1834–1853Ĭuenca A, Antunes DJ, Castillo A et al (2018) Periodic event-triggered sampling and dual-rate control for a wireless networked control system with applications to UAVs. Surg Endosc 31(1):2664–3273īennis M, Debbah M, Poor HV (2018) Ultra-reliable and low-latency wireless communication: tail, risk and scale. ![]() IEEE Internet Comput 21(2):34–42Īrezzo A, Mintz Y, Allaix ME, Arolfo S, Morino M (2016) Total mesorectal excision using a soft and flexible robotic arm: a feasibility study in cadaver models. IEEE Trans Cybern 49(1):315–327Īlrawais A, Alhothaily A, Hu C et al (2017) Fog computing for the Internet of Things: security and privacy issues. Īl-Dabbagh AW (2018) Design of a wireless control system with unreliable nodes and communication links. ![]() The experimental results in this paper show that the performance of the six-degree-of-freedom manipulator based on the Internet of Things is 25% higher than that of the traditional machine, and the stability of the wireless control system is also improved by 18% compared with before.Īkpakwu GA, Silva BJ et al (2017) A survey on 5g networks for the internet of things: communication technologies and challenges. The first 200 units were used for training and the last 200 were used for testing. In order to ensure the richness of the entry signs and the safety of the equipment, the control signal given here is a random signal, and the output signal is six connected position signals.A total of 400 input and output sample sets were used. Mark the control of each joint, and then collect these control signals and the position information of the six joints. In addition, the robot arm Jacobi control algorithm is used to describe the differential mapping relationship between the robot arm motion and the camera image space, and the image is updated online through the calculation method to improve the accuracy of the robot arm light control server. In this paper, the Arduino material platform is used as the main controller, combined with Arduino IDE to complete the six-degree-of-freedom manipulator and main load control program, and use APPinventor to develop Android applications, and realize the wireless control of the manipulator through Bluetooth mode. This article aims to study the wireless control system of six-degree-of-freedom manipulator under the Internet of Things. The robotic arm is an automatic control device that imitates the function of a human arm and accurately recognizes specific points in the three-dimensional space according to received instructions.
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