LOCOMOTORICA: Staggering Ragdoll
You are a machine learning model tasked with driving an active ragdoll in a computer physics simulation. Take manual control of your feet to retain balance, walk, navigate obstacles, and perform various tasks. A challenging game partially inspired by Bennett Foddy's work.
Estimated lifetime revenueLow confidence
$5.8Kgross
$1.7Klow → high range$17.3K
Net to developer$3.8K
Modeled estimate, not a reported figure. How we estimate →
Est. copies sold
893
mid estimate
About
About the game
...Have you ever seen these videos where neural networks learn to control physics-based characters?
You are in control of an active ragdoll in a computer physics simulation. Move your legs manually with gamepad sticks and triggers to retain balance and walk.
You have various tasks to complete:
This game can be challenging at first, as it is partially inspired by QWOP, a 2008 game by Bennett Foddy. But if you get a feel for it, you can walk and navigate the environment with little effort, as demonstrated above.
(UPD: This game was made before Bennett Foddy announced "Baby Steps")
From the creator of Drunken Wrestlers and Drunken Wrestlers 2.
Join my !
In LOCOMOTORICA: Staggering Ragdoll, you are the neural network.
You are in control of an active ragdoll in a computer physics simulation. Move your legs manually with gamepad sticks and triggers to retain balance and walk.
You have various tasks to complete:
This game can be challenging at first, as it is partially inspired by QWOP, a 2008 game by Bennett Foddy. But if you get a feel for it, you can walk and navigate the environment with little effort, as demonstrated above.
(UPD: This game was made before Bennett Foddy announced "Baby Steps")
- Innovative character controls and physics
- 30+ challenging hand-crafted tasks
- Endless procedurally generated levels
- Steam Leaderboards with replays to race against
- Level editor and Steam Workshop
- Relaxing soundtrack
From the creator of Drunken Wrestlers and Drunken Wrestlers 2.
Join my !
Genres
