Repository
Research
costar_stack · cpaxton
Integrated ROS capabilities for planning, predicate inference, gripper control, and perception for use with the KUKA LBR IIWA and Universal Robots.
Perception & geometry
Datasets / Research
costar_plan · jhu-lcsr
Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.
Overview
Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.
Review the data card, embodiment, schema, collection conditions and dataset-specific license before use. Data access and fit for a particular training setup need separate confirmation.
Project information
- Maintainer
- jhu-lcsr
- Primary language
- Python
- Repository code license
- Apache-2.0
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2019-07-23
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- CoSTAR Plan
- CoSTAR Task Planner (CTP)
- [CoSTAR Hyper](costar_hyper/README.md)
- Supported Datasets
- CoSTAR Task Planner (CTP)
- CTP Datasets
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