We give robotics teams the tools they need to plan robot movement, test ideas, and make better engineering decisions with GPU-accelerated motion intelligence.
What We Offer
Centralized manipulator records, joint definitions, URDF/USD assets, and specialized tool profiles.
Forward and inverse kinematics studies, workspace views, trajectory editing powered by cuRobo CUDA acceleration.
Work-cell scene configuration, collision analysis, and cycle-time context in physically accurate Isaac Sim & Lab.
Jetson Thor & Orin optimization, Holoscan sensor streaming, and Isaac ROS perception deployment.
Engineering Better Motion for Robotics. In an environment where technology evolves at a dizzying pace, Kinetra has become a fundamental pillar to protect engineering assumptions and operational interests.
Kinetra is an AI-native Motion, Robotics & Kinematics platform designed to accelerate the development, simulation, and deployment of intelligent robotic systems across industrial, mobile, and humanoid domains.
Traditional CPU-based motion planners take seconds to generate collision-free trajectories, making real-time reactive control impossible for high-degree-of-freedom (DoF) robots. Kinetra unifies GPU-accelerated kinematics solving, collision-free motion generation, robot learning, and edge deployment to achieve sub-100ms planning.
Kinetra follows a modern AI-native architecture designed for real-time kinematics solving, motion planning, robot learning, and edge deployment workloads:
Strategic expansion roadmap across NVIDIA ecosystem technologies:
Sign in to the Kinetra dashboard to manage robot models, run kinematics studies and simulations, and track validation and approvals in one workspace.