[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
Learn how to grasp objects in cluttered environments using a framework developed from simulations.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
catgrasp has 340 stars on GitHub. It has been forked 89 times. catgrasp is written mainly in Python. It has been in active development since 2022. catgrasp is available under the Apache-2.0 license. Its main topics are grasp, grasp-annotation, grasp-planning, grasp-point-detection.
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
catgrasp is an open-source project. It is released under the Apache-2.0 license.
Yes. catgrasp is free and open source — you can use, modify and self-host it.
catgrasp is available under the Apache-2.0 license.
catgrasp is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/wenbowen123-catgrasp.html)