| dc.contributor.advisor | Agrawal, Pulkit | |
| dc.contributor.author | Ulloa, Gabriella E. | |
| dc.date.accessioned | 2025-11-05T19:35:22Z | |
| dc.date.available | 2025-11-05T19:35:22Z | |
| dc.date.issued | 2025-05 | |
| dc.date.submitted | 2025-06-26T14:15:37.693Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/163571 | |
| dc.description.abstract | DexWrist 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.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright retained by author(s) | |
| dc.rights.uri | https://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | DexWrist: A Robotic Wrist for Constrained and Dynamic Manipulation | |
| dc.type | Thesis | |
| dc.description.degree | S.M. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | |
| dc.identifier.orcid | 0009-0004-2966-9039 | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Science in Mechanical Engineering | |