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Latest Updates to Grasp Planning: April 17, 2025
Latest Updates to Grasp Planning: April 17, 2025
New parameters added: Simulator, Backbone, Metric(s) Used   🤖 LINK 🤖Â
Latest Updates to Grasp Datasets: April 16, 2025
Latest Updates to Grasp Datasets: April 16, 2025
Majority of parameters filled in for all 47 datasets  🤖 LINK 🤖Â
Want to submit an open-source product to be listed? Use this Google form: https://forms.gle/LHrtmDpm82X4qrDk6Â
Want to submit an open-source product to be listed? Use this Google form: https://forms.gle/LHrtmDpm82X4qrDk6Â
We are building repositories of open-source products for robot manipulation. Help us build it! Use the Google form linked above to submit an open-source product or give us feedback on how it's organized by joining the COMPARE Slack workspace linked at the bottom of the page!
Relevant COMPARE Slack Channel: #software_grasp-planning
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.
Grasp Planners
Grasp Planners
Planning Method, Training Data, End-effector Hardware, Object Configuration, Input Data, Output Pose, Corresponding Dataset, Simulator, Backbone, Metric(s) Used, Language, Link(s), License, Maintainer(s), Citation, Year (Initial Release)
Some of the data in this repository is sourced from Newbury et al. [2023]: Newbury, Rhys, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, and Akansel Cosgun. "Deep learning approaches to grasp synthesis: A review." IEEE Transactions on Robotics 39, no. 5 (2023): 3994-4015.
Grasp Datasets
Grasp Datasets
Focus, Data Type, Object Set, Input Data, Output Pose, End-effector Hardware, # of Grasps, # of Objects, # of Samples, Link(s), License, Maintainer(s), Citation, Year (Initial Release)
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