Awesome-Implicit-NeRF-Robotics

Why we included this project

Neural radiance fields moved into robotics research quickly, and this curated list is a practical way to keep up with where the field stands. It collects implicit-representation and NeRF papers that touch robotics and reinforcement learning, grouping them by problem area so you can find work on pose estimation, SLAM, manipulation, reconstruction, physics, or planning and navigation without wading through general computer-vision archives. Most entries link to the paper and often to the official implementation and project page, which makes it easy to go from reading about a method to running its code. The list is maintained alongside the 'Neural Fields in Robotics' survey paper and the RoboNeRF workshop series, so the selection has a coherent editorial thread rather than feeling like a random dump of links. It is a reading and discovery resource, not software you deploy, but for a team scoping a robotics or embodied-AI project it is a solid first stop for identifying the right method and its reference implementation.