Embedded Files
Protocol citation: Kimble, Kenneth, Justin Albrecht, Megan Zimmerman, and Joe Falco. "Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications." Frontiers in Robotics and AI 9 (2022): 999348. https://doi.org/10.3389/frobt.2022.999348
Project link: https://www.nist.gov/el/intelligent-systems-division-73500/robotic-grasping-and-manipulation-assembly/assembly
To sort and organize the repositories, open them in Google Spreadsheets by clicking the "Open Spreadsheets" icon in the top-right that appears when you hover over the sheet below, then use the drop-down menus along the top to find what you need.
To sort and organize the repositories, open them in Google Spreadsheets by clicking the "Open Spreadsheets" icon in the top-right that appears when you hover over the sheet below, then use the drop-down menus along the top to find what you need.
Small Parts Assembly and Disassembly (RGMC) Leaderboard
Small Parts Assembly and Disassembly (RGMC) Leaderboard
Performance Metrics: Assembly Score, Disassembly Score; Benchmarking Information: Task Board, Environment, Objects and Artifacts, Tools and Testbeds; Robot Software Configuration: Method, Method GitHub; Robot Hardware Configuration: Arm, Arm DOF, End Effector, End Effector Type, Sensor(s), Sensor Type(s), Sensor Perspective(s); Source: Link(s), Citation
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