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dc.contributor.advisorAgrawal, Pulkit
dc.contributor.authorUlloa, Gabriella E.
dc.date.accessioned2025-11-05T19:35:22Z
dc.date.available2025-11-05T19:35:22Z
dc.date.issued2025-05
dc.date.submitted2025-06-26T14:15:37.693Z
dc.identifier.urihttps://hdl.handle.net/1721.1/163571
dc.description.abstractDexWrist is a compliant robotic wrist designed to advance robotic manipulation in highly-constrained environments, enable dynamic tasks, and speed up data collection. DexWrist is designed to be close to the functional capabilities of the human wrist and achieves mechanical compliance and a greater workspace as compared to existing robotic wrist designs. The DexWrist can supercharge policy learning by (i) enabling faster teleoperation and therefore making data collection more scalable; (ii) completing tasks in fewer steps which reduces trajectory lengths and therefore can ease policy learning; (iii) DexWrist is designed to be torque transparent with easily simulateable kinematics for simulated data collection; and most importantly (iv) expands the workspace of manipulation for approaching highly cluttered scenes and tasks. More details about the wrist can be found at: https://sites.google.com/view/dexwrist/home.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleDexWrist: A Robotic Wrist for Constrained and Dynamic Manipulation
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.orcid0009-0004-2966-9039
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Mechanical Engineering


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