Skild AI's flagship robotic foundation model and in-context learner: turns a single task video demo into robot actions without fine-tuning.
โ Activeโณ Limited accessRobotics foundation model
Release date
18 August 2026
Overview
Classification
Robotics foundation model
Access & deployment
Weights: Closed
Key parameters
๐ฅ Input: video, robot sensors, robot state data
Robotics
Dexterous manipulationRobot manipulationEmbodied task planningRobot controlObject affordance understanding
Technical specification
License
Proprietary
Modalities
โฌ Input
videorobot_sensorsrobot_state_data
โฌ Output
robot_actionsrobot_commandsmotion_trajectoriesmanipulator_control
Capabilities and applications
Native model capabilities
Video Understanding
Category: video
Reasoning
The model's ability to perform multi-step logical inference, solve complex problems and decompose tasks into steps.
Category: reasoning
Robotics
Dexterous manipulationRobot manipulationEmbodied task planningRobot controlObject affordance understanding
Benchmark results
3 benchmarks
Long-horizon seen tasks (4-8 min)
success rate
96%
๐ Oficjalny blog Skild AI (S1)
Vendor-reported result.
Long-horizon unseen tasks @100k training hours
success rate
66%
๐ Oficjalny blog Skild AI (S1)
Vendor-reported result.
Demonstration efficiency
sample efficiency
1 demo ~ 380 post-training episodes
๐ Oficjalny blog Skild AI (S1)
Equivalence of one video demonstration.
Technical architecture
Model Form