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Add FootstepNet Envs to doc project page #2058

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merged 4 commits into from
Dec 17, 2024
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Add FootstepNet Envs to doc project page #2058

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970b7cb
Add FootstepNet Envs to doc projects page
cgaspard3333 Dec 17, 2024
6cae9f9
Update Changelog + typo
cgaspard3333 Dec 17, 2024
d6b298b
Merge branch 'master' into master
araffin Dec 17, 2024
90e6c4e
Update FootstepNet description
cgaspard3333 Dec 17, 2024
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1 change: 1 addition & 0 deletions docs/misc/changelog.rst
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Expand Up @@ -39,6 +39,7 @@ Documentation:
- Added Decisions and Dragons to resources. (@jmacglashan)
- Updated PyBullet example, now compatible with Gymnasium
- Added link to policies for ``policy_kwargs`` parameter (@kplers)
- Add FootstepNet Envs to the project page (@cgaspard3333)
- Added FRASA to the project page (@MarcDcls)

Release 2.4.0 (2024-11-18)
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13 changes: 12 additions & 1 deletion docs/misc/projects.rst
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Expand Up @@ -251,6 +251,17 @@ It enables solving environments involving partial observability or locomotion (e
| Github: https://github.com/corentinlger/ER-MRL
| Paper: https://arxiv.org/abs/2312.06695

FootstepNet Envs
----------------

These environments are dedicated to train efficient agents that can plan and forecast bipedal robot footsteps in order to go to a target location possibly avoiding obstacles. They are designed to be used with Reinforcement Learning (RL) algorithms.

Real world experiments were conducted during RoboCup competitions on the Sigmaban robot, a small-sized humanoid designed by the *Rhoban Team*.

| Authors: Clément Gaspard, Grégoire Passault, Mélodie Daniel, Olivier Ly
| Github: https://github.com/Rhoban/footstepnet_envs
| Paper: https://arxiv.org/abs/2403.12589


FRASA: Fall Recovery And Stand up agent
---------------------------------------
Expand All @@ -265,4 +276,4 @@ various external disturbances and stand up in a few seconds.
Authors: Marc Duclusaud, Clément Gaspard, Grégoire Passault, Mélodie Daniel, Olivier Ly
Github: https://github.com/Rhoban/frasa
Paper: https://arxiv.org/abs/2410.08655
Video: https://www.youtube.com/watch?v=NL65XW0O0mk
Video: https://www.youtube.com/watch?v=NL65XW0O0mk
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