2019
DOI: 10.1007/978-3-030-19648-6_19
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Task-Dependent Energetic Analysis of a 3 d.o.f. Industrial Manipulator

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Cited by 6 publications
(6 citation statements)
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“…Article [42] presents a method for studying potential energy savings through practical energy consumption optimization. The experiment utilized an artificial neural network to accurately depict the quantitative relationships between operational parameters and energy consumption.…”
Section: Energy Efficiency In Robotics: Reducing Industrial Robots' P...mentioning
confidence: 99%
“…Article [42] presents a method for studying potential energy savings through practical energy consumption optimization. The experiment utilized an artificial neural network to accurately depict the quantitative relationships between operational parameters and energy consumption.…”
Section: Energy Efficiency In Robotics: Reducing Industrial Robots' P...mentioning
confidence: 99%
“…The electro-mechanical model of the actuators of the robot is developed by assuming that brushless DC motors are used as in [23,31]. The torque exerted by the j-th motor τ m,j = τ j /K r is proportional to the current i j (t) drawn by the motor itself as:…”
Section: Electro-mechanical Modelmentioning
confidence: 99%
“…Energy efficiency can also be enhanced by evaluating the performance of the robot throughout its workspace and by optimizing the location of the task with respect to the base of the manipulator. The positioning of the robot with respect to the required task is indeed essential not only for the correct execution of the operation, such as for example in robotic painting [27][28][29] or pick-and-place operations [15,30,31] but also to minimize the expenditure of energy required by the actuators.…”
Section: Introductionmentioning
confidence: 99%
“…The importance of this concept is testified by abundant literature including both theoretical and experimental studies for enhancing the energy efficiency in manipulators and automatic machines [23]. The main approaches to achieve this goal are: (1) the proper choice of the manipulator type, [24] (2) designing lightweight manipulators with lower inertia, [25,26] (3) optimization of manipulator structure, [27] using regenerative drive systems, [28,29] trajectory planning and motion planning, [30,31,32] applying redundancy on non-redundant manipulators, [33,34,35,36] optimizing location of the task with respect to the base of the manipulator [37,38] and joint force/torque minimization [13,39,40] and introduction of complaint or elastic elements into the manipulator [41,42].…”
Section: Introductionmentioning
confidence: 99%