NVIDIA open-sources cuRoboV2-Fast, a robot planner that works in 4.4 ms
Sundaralingam, who built the first 100 ms cuRobo prototype in 2022, is releasing NVIDIA's 4.4 ms planner with Adithyavairavan Murali and Stan Birchfield.
By Ryan Merket · Published
Primary source: Aligned News — AI Intelligence
Why it matters
Motion planning sits between a robot seeing an object and moving to grasp it. Cutting that step to 4.4 ms on stated hardware, while respecting payload and torque limits, reduces the time spent planning a path. Releasing it under Apache 2.0 through NVlabs gives research teams and robotics companies a planner they can inspect, benchmark on their own arms, and build products around.
Balakumar Sundaralingam (@balakumar_) started cuRobo with a planner that took 100 ms. "In 2022, our first cuRobo prototype took 100 ms and consumed the whole GPU," he wrote in a thread on X on November 5th. Four years of kernel work later, he is open-sourcing cuRoboV2-Fast under Apache 2.0, with collision-free, torque-limited motion planning in 4.4 ms.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.