{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/147504"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/147504","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Soft, round, high resolution tactile fingertip sensors for dexterous robotic manipulation","abstract":"In this work we introduce a non-planar soft high-resolution tactile sensor. An iteration of the GelSight sensors, it enables future GelSights to have more complicated form factors, such as a humanoid fingertip. To do this we introduce a novel method for achieving directional lighting along the entirety of a curved sensor using light piping. Light piping uses total internal reflection and a semi-specular membrane to constrain the path of the light inside the sensor until the sensing membrane is deformed. By using this new membrane and changing the geometry, we introduce a new bidirectional reflectance distribution function and new optics. This require new calibration procedures in the form of developing a fisheye projection model, and developing a neighborhood and location based continuous look-up table to map the relationship between RGB value and surface normal orientation of the membrane at a point. Finally we perform two dexterous manipulation task with feedback from the sensors in the form of controlled rolling of an object on a support surface, and lid removal off a jar. We also give instructions on how to manufacture the sensor as well as increasing the durability of the membrane for all GelSight sensors.","abstract_html":"In this work we introduce a non-planar soft high-resolution tactile sensor. An iteration of the GelSight sensors, it enables future GelSights to have more complicated form factors, such as a humanoid fingertip. To do this we introduce a novel method for achieving directional lighting along the entirety of a curved sensor using light piping. Light piping uses total internal reflection and a semi-specular membrane to constrain the path of the light inside the sensor until the sensing membrane is deformed. By using this new membrane and changing the geometry, we introduce a new bidirectional reflectance distribution function and new optics. This require new calibration procedures in the form of developing a fisheye projection model, and developing a neighborhood and location based continuous look-up table to map the relationship between RGB value and surface normal orientation of the membrane at a point. Finally we perform two dexterous manipulation task with feedback from the sensors in the form of controlled rolling of an object on a support surface, and lid removal off a jar. We also give instructions on how to manufacture the sensor as well as increasing the durability of the membrane for all GelSight sensors.","abstract_has_math":false,"creators":["Romero, Branden Robert"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. 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An iteration of the GelSight sensors, it enables future GelSights to have more complicated form factors, such as a humanoid fingertip. To do this we introduce a novel method for achieving directional lighting along the entirety of a curved sensor using light piping. Light piping uses total internal reflection and a semi-specular membrane to constrain the path of the light inside the sensor until the sensing membrane is deformed. By using this new membrane and changing the geometry, we introduce a new bidirectional reflectance distribution function and new optics. This require new calibration procedures in the form of developing a fisheye projection model, and developing a neighborhood and location based continuous look-up table to map the relationship between RGB value and surface normal orientation of the membrane at a point. Finally we perform two dexterous manipulation task with feedback from the sensors in the form of controlled rolling of an object on a support surface, and lid removal off a jar. We also give instructions on how to manufacture the sensor as well as increasing the durability of the membrane for all GelSight sensors."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["Soft, round, high resolution tactile fingertip sensors for dexterous robotic manipulation"]}]}],"canonical_facts":{"dc:contributor.advisor":["Adelson, Edward H."],"dc:contributor.department":["Massachusetts Institute of Technology. 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This require new calibration procedures in the form of developing a fisheye projection model, and developing a neighborhood and location based continuous look-up table to map the relationship between RGB value and surface normal orientation of the membrane at a point. Finally we perform two dexterous manipulation task with feedback from the sensors in the form of controlled rolling of an object on a support surface, and lid removal off a jar. 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