On July 10, 2025 at 8:00 am PT (11:00 am ET), Alliance Member company eInfochips will deliver the free webinar “GPU-Accelerated Real-Time SLAM Optimization for Autonomous Robots.” From the event page:
Optimizing execution time for long-term and large-scale SLAM algorithms is essential for real-time deployments on edge compute platforms. Higher throughput of SLAM output provides faster map refresh rate and quicker decision-making scenarios. RTABMap is a state-of-the-art and popular SLAM algorithm used in autonomous mobile robot space. RTABMap comes with core SLAM libraries able to perform Lidar-based and Vision-based SLAM with multiple sensor configurations.
In this talk, we will discuss how Lidar-based SLAM using PointCloud data can be made faster by leveraging GPU-based libraries on NVIDIA platforms. The detailed comparative results and methodology will provide good insight into how RTABMap functions execution time can be reduced for the AMR applications. This webinar will also provide idea about the effective ways in which a SLAM algorithm can be accelerated on resource-constrained devices.
For more information and to register, visit the event page.
