2018
DOI: 10.1051/matecconf/201819711006
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A low cost 3D-printed robot joint torque sensor

Abstract: Technological advances allow researchers to develop advanced arm robots and can safely work side by side with humans Therefore, a robot arm controller can be designed in such way that the robot arm can move along the desired trajectories and act upon external influences, in this last case, the torque sensor plays an important rule. Currently torque sensors are available in the market has a high price. In this work, an inexpensive robot joint torque sensor is presented. Most parts of this sensor are made using … Show more

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Cited by 5 publications
(2 citation statements)
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“…PLA+CF, PC, PET, TPU, PEEK, etc.). The use of the FDM/FFF technology has been described in many research papers [23,25,[68][69][70]. In the paper [68], the authors used siliconebased material and made physical models of a pneumatic actuator, which were subjected to strength tests.…”
Section: Fused Deposition Modeling -Fdm/fffmentioning
confidence: 99%
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“…PLA+CF, PC, PET, TPU, PEEK, etc.). The use of the FDM/FFF technology has been described in many research papers [23,25,[68][69][70]. In the paper [68], the authors used siliconebased material and made physical models of a pneumatic actuator, which were subjected to strength tests.…”
Section: Fused Deposition Modeling -Fdm/fffmentioning
confidence: 99%
“…To this end, they used CAD tools and the 3D printing process made it possible to quickly produce models, as well as to modify and redo them, which in the case of such complex models is a key advantage of 3D printing over conventional technologies in the construction of robot components. Another example of the application of 3D printing for the construction of robot elements is study [69], whereby the authors used PLA-based material in FDM technology to build a robot joint torque sensor. In this application, the main goal was to reduce the costs of creating a prototype and to make the final product sufficiently fast.…”
Section: Fused Deposition Modeling -Fdm/fffmentioning
confidence: 99%