NEWS · CODING · #3308
NVIDIA Holoscan 5 tutorial: gravity‑compensation robot‑arm demo using Pinocchio
NVIDIA published a Holoscan 5 tutorial that builds a low‑latency gravity‑compensation loop for the Seeed Studio reBot Arm B601‑DM using three custom Holoscan operators and the Pinocchio inverse‑dynamics library; the example runs on Jetson and x86 and reports p99.99 latency reductions when pinning control partitions to CPU cores (≈5× for C++ and ≈9.6× for Python).
KEY POINTS
- NVIDIA published a Holoscan 5 tutorial that builds a low‑latency gravity‑compensation loop for the Seeed Studio reBot Arm B601‑DM using three custom Holoscan operators and the Pinocchio inverse‑dynamics library; the example runs on Jetson and x86 and reports p99.99 latency reductions when pinning control partitions to CPU cores (≈5× for C++ and ≈9.6× for Python).
- Shows Holoscan 5 integrating low‑latency control and high‑throughput perception (and AI inference paths) in a single SDK with measurable latency improvements, making it easier to build real‑world robotic control and perception pipelines.
- Make a Robot Arm Feel Weightless with NVIDIA Holoscan 5
WHY IT MATTERS
Shows Holoscan 5 integrating low‑latency control and high‑throughput perception (and AI inference paths) in a single SDK with measurable latency improvements, making it easier to build real‑world robotic control and perception pipelines.