Anyone working with IsaacLab?

Developers are actively adopting NVIDIA's IsaacLab framework for robotics simulation, particularly within the context of the AI for Industry Challenge. A user on April 10, 2026, reported successfully porting all assets from the Gazebo framework to IsaacLab, ensuring functional equivalence, including implementing a Cartesian impedance controller. The developer achieved key robotics tasks like teleoperation and port insertion, signaling IsaacLab's growing capability as a viable, GPU-accelerated alternative to Gazebo for complex simulation workflows.

Community engagement highlights both progress and persistent technical hurdles. Another developer inquired about managing very large forces during insertion tasks in IsaacLab, a problem previously encountered during reinforcement learning training due to misaligned coordinate frames. This points to the nuanced challenges of transferring simulation setups and the need for precise environment configuration. The broader forum activity shows sustained interest, with topics ranging from Isaac Sim's Gazebo bridge and new robot models to controller accuracy issues, underscoring a vibrant ecosystem tackling industrial AI simulation.