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Exciting news: Reinforcement Learning (RL) coming soon to the Telekinesis Agentic OS!
Here's a first look at a robust locomotion and stair-climbing policy trained with PPO.
The Telekinesis Agentic OS aims to bring together the key technologies of Physical AI into a single ecosystem.
Our next focus is to release the RL training stack with:
1. Key on-policy algorithms such as PPO
2. Distributed training across multiple parallel environment
3. Native support for NVIDIA Omniverse and MuJoCo
4. A growing suite of humanoid training environments
Our long-term goal is simple: give robotics developers a single OS that brings together the core building blocks of Physical AI, from vision and motion control to reinforcement learning, VLA models, World Models, and beyond.
Explore the Agentic OS docs: https://docs.telekinesis.ai/
Join our Discord of robotics and computer vision engineers: https://discord.gg/syc5TqfsSK
#robotics #physicalai #ai
Source: https://www.linkedin.com/posts/suman7495_robotics-physicalai-ai-ugcPost-7482696382894542850-szPB
Here's a first look at a robust locomotion and stair-climbing policy trained with PPO.
The Telekinesis Agentic OS aims to bring together the key technologies of Physical AI into a single ecosystem.
Our next focus is to release the RL training stack with:
1. Key on-policy algorithms such as PPO
2. Distributed training across multiple parallel environment
3. Native support for NVIDIA Omniverse and MuJoCo
4. A growing suite of humanoid training environments
Our long-term goal is simple: give robotics developers a single OS that brings together the core building blocks of Physical AI, from vision and motion control to reinforcement learning, VLA models, World Models, and beyond.
Explore the Agentic OS docs: https://docs.telekinesis.ai/
Join our Discord of robotics and computer vision engineers: https://discord.gg/syc5TqfsSK
#robotics #physicalai #ai
Source: https://www.linkedin.com/posts/suman7495_robotics-physicalai-ai-ugcPost-7482696382894542850-szPB