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Want to submit an open-source product to be listed? Use this Google form: https://forms.gle/LHrtmDpm82X4qrDk6
Want to submit an open-source product to be listed? Use this Google form: https://forms.gle/LHrtmDpm82X4qrDk6
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
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, Camera Position(s), 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.
Maintainers: Samruddhi Naukudkar, Shambhuraj Mane
Use the AI-driven COMPARE Repository Explorer tool to investigate connections, similarities, and differences between the entires in this repository. The tool features several auto-generated visualizations and outputs based on predicted relationships between entries. You can also query the explorer with a text prompt such as "grasp planning methods for parallel jaw grippers in cluttered scenes." 🤖 Check it out! 🤖
Related Resources
Related Resources
See the Datasets page for the Grasp Datasets repository, featuring many of the datasets the grasp planners are trained on, organized according to input data, output pose, end-effector hardware, # of grasps, # of objects, # of samples, and more.
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