2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) 2022
DOI: 10.1109/icmlant56191.2022.9996485
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A Novel Monitoring System for Contagious Diseases of Patients using a Parallel Planar Robot

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Cited by 6 publications
(5 citation statements)
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“…The presented algorithm offers two alternatives: the traditional one, which requires knowledge of the orientation phi of the end-effector and is used in various applications as pick and place [37,38], or medical rehabilitation [39,40]. There is also an alternative that eliminates the need to know this orientation, using instead an optimization method, useful in monitoring applications like conventional or thermal cameras [41]. This means that the similarity law of planar 3RRR robots reduces the number of singularities obtained in kinematic models.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The presented algorithm offers two alternatives: the traditional one, which requires knowledge of the orientation phi of the end-effector and is used in various applications as pick and place [37,38], or medical rehabilitation [39,40]. There is also an alternative that eliminates the need to know this orientation, using instead an optimization method, useful in monitoring applications like conventional or thermal cameras [41]. This means that the similarity law of planar 3RRR robots reduces the number of singularities obtained in kinematic models.…”
Section: Discussionmentioning
confidence: 99%
“…Isolating for P a in (41) and P b in Equation ( 42), the required values would be found to have the complete inverse kinematics considering the orientation ϕ (43) and (44):…”
Section: Solution For P a And P Bmentioning
confidence: 99%
“…Table 7, 8, and 9 summarizes the mechanical properties of an PF (Phenol-Formaldehyde) matrix loaded with cellulose particles (pine needle & Grewia optiva) and cellulose-based copolymers (Methyl Acrylate graft onto Grewia optiva) respectively. 5.80E+07 Table 5, and Figure 1 YIELD STRENGTH (N/M 2 ) 6.50E+06 Table 5, and Figure 1 Ordoñez et al proved efficacy of Solidworks to validate models and predictions of a system [21]. Based on the methodology presented by Ordoñez et al, and the summarized information in the tables shown in this communication, different simulations were performed in Solidworks.…”
Section: Chemical Resistancementioning
confidence: 96%
“…As a result of the trajectory of the SCARA robotic arm represented in joint matrices in equation ( 1), which when multiplied we obtain the resulting matrix of the DH parameters resulting in equation (8).…”
Section: Control System Based On Kinematicsmentioning
confidence: 99%
“…The DH transforms are composed of pure rotation and pure translation matrices, which can be represented as follows: Ti− i 1 = Rxi−1(αi−1), Txi−1(αi−1), Tzi(di), Rzi(θi). Often for simulation and verification of the direct and inverse kinematics, tools like MATLAB Robotic Toolbox are used [8,9].…”
Section: Introductionmentioning
confidence: 99%