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====== Tasks ======

 **Robot locomotion, sensing, and planning**
^ Task ID ^ Assignment ^
| [[:courses:crl-courses:redcp:tasks:t1a-ctrl|t1a-ctrl]] | Open-loop locomotion control |
| [[:courses:crl-courses:redcp:tasks:t1b-react|t1b-ctrl]] | Reactive obstacle avoidance |
| [[:courses:crl-courses:redcp:tasks:t1c-plan|t1c-plan]] | Grid-based path planning |
| [[:courses:crl-courses:redcp:tasks:t1d-map|t1d-map]] | Map building |
| [[:courses:crl-courses:redcp:tasks:t1e-frontiers|t1e-frontiers]] | Determination of frontiers for robotic exploration |
| [[courses:crl-courses:redcp:tasks:t1f-exploration|t1f-exploration]] | Robotic information gathering - Mobile robot exploration |
| [[courses:crl-courses:redcp:tasks:t2-tspn|t2-tspn]] | Data-collection Path Planning with Remote Sensing (TSPN) |


<note tip>All the supporting files can be downloaded in a single archive {{:courses:crl-courses:redcp:tasks:redcp-all.zip |}} that contains ''redcp'' directory with ''scenes'' for the simulator, supporting ''redcp'' python library and individual tasks directories.</note>

Provided supporting files for implementation of the tasks are in Python 3, and the simulation environment is [[courses:crl-courses:redcp:tutorials:simloc|CoppeliaSim]], for which scenes including hexapod walking robot are provided as well. The following Python packages are recommended for a smooth run of the provided examples. The packages can be install directly in your OS, such as using ''apt install'' or using ''pip''.

^ Package ^ Apt install ^ Used in tasks ^
| matplotlib | apt install python3-matplotlib  | All tasks |
| numpy | apt install python3-numpy | All tasks |
| sklearn | apt install python3-sklearn | t1c-plan, t1d-map, t1e-frontiers,  t1f-exploration |
| skimage | apt install python3-skimage | t1e-frontiers, t1f-exploration |