YYForce Plans Workforce OS Robotics Platform Using NVIDIA Tools
YYForce detailed plans in a press release to develop Workforce OS, a modular robotics architecture for coordinating human workers, service robots and Unitree humanoid robots. The company plans to test the platform in hospitality and facility operations.
Workforce OS will use NVIDIA Jetson modules for onboard computing and RTX GPUs for inference and local processing. It will also use Project GR00T, Isaac Sim, Isaac ROS and TensorRT for robot training, navigation, simulation and model optimization.
YYForce plans an initial two month phase focused on navigation, conversational tasks and front desk integration. A second phase will add stationary and wheeled robotic arms for beverage and banquet service, followed by a pilot combining mobile robots, robotic arms and Unitree humanoid robots during months four to six.
The release describes plans rather than deployments and names no customers.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Oct 21 GM Uses AI to Target Two Year Vehicle Development Oct 21 NVIDIA Expands Hyperion Autonomous Vehicle Platform in Europe Oct 21 NVIDIA Expands Isaac With Agile ONE SN Humanoid and Robot Learning Tools Oct 21 Agile Robots Plans Up to 2,000 Humanoids With NVIDIA in 2027 Oct 21 Teradyne Robotics and Sereact Partner on Industrial Robot AIRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
YYForce Plans Service Robot Rollout at Two Singapore Hotels
YYForce Opens Robotics Training Center in Singapore
NVIDIA Expands Isaac With Agile ONE SN Humanoid and Robot Learning Tools
Nebius Releases Physical AI Workbench for Robotics
Agile Robots Plans Up to 2,000 Humanoids With NVIDIA in 2027
Daily AI Brief: the AI news that matters, in your inbox.