首页|New Findings from Ecole de Technologie Superieure in the Area of Robotics and Au tomation Described (Stereotac: a Novel Visuotactile Sensor That Combines Tactile Sensing With 3d Vision)

New Findings from Ecole de Technologie Superieure in the Area of Robotics and Au tomation Described (Stereotac: a Novel Visuotactile Sensor That Combines Tactile Sensing With 3d Vision)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics-Roboti cs and Automation are discussed in a new report. According to news originating f rom Montreal, Canada, by NewsRx correspondents, research stated, "Combining 3D v ision with tactile sensing could unlock a greater level of dexterity for robots and improve several manipulation tasks. However, obtaining a close-up 3D view of the location where manipulation contacts occur can be challenging, particularly in confined spaces, cluttered environments, or without installing more sensors on the end effector." Financial supporters for this research include Natural Sciences and Engineering Research Council of Canada (NSERC), Fonds de recherche du Quebec-Nature et tec hnologies (FRQNT). Our news journalists obtained a quote from the research from Ecole de Technologi e Superieure, "In this context, this letter presents StereoTac, a novel vision-b ased sensor that combines tactile sensing with 3D vision. The proposed sensor re lies on stereoscopic vision to capture a 3D representation of the environmentbef ore contact and uses photometric stereo to reconstruct the tactile imprint gener ated by an object during contact. To this end, two cameras were integrated in a single sensor, whose interface is made of a transparent elastomer coated with a thin layer of paint with a level of transparency that can be adjusted by varying the sensor's internal lighting conditions. We describe the sensor's fabrication and evaluate its performance for both tactile perception and 3D vision."

MontrealCanadaNorth and Central Amer icaRobotics and AutomationRoboticsEcole de Technologie Superieure

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.7)