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.
Game Assets
System Requirements
Windows
Minimum:
Requires a 64-bit processor and operating system
OS *: Windows 7+
Processor: 2 GHz Dual Core
Memory: 4 GB RAM
Graphics: Radeon 520 or GeForce GT 730
DirectX: Version 11
Storage: 1 GB available space
Recommended:
Requires a 64-bit processor and operating system
OS *: Windows 7+
Processor: 3 GHz Quad Core
Memory: 8 GB RAM
Graphics: GTX 1050 or better
DirectX: Version 11
Storage: 2 GB available space
About This Game
...Have you ever seen these videos where neural networks learn to control physics-based characters?
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 !