PHD Discussions Logo

Ask, Learn and Accelerate in your PhD Research

Question Icon Post Your Answer

Question Icon

2 years ago in Robotics By Neethi

What are the best SLAM algorithms?

For balancing accuracy, computational efficiency, and robustness, which SLAM algorithms are considered state-of-the-art?

All Answers (1 Answers In All)

By Rishabh Khanna Answered 8 months ago

There's no single "best" algorithm; choice depends on the environment and resources. For 2D indoor mapping, Gmapping (laser-based) is classic. For visual SLAM, ORB-SLAM3 is state-of-the-art. LIO-SAM excels for lidar-inertial odometry in large-scale 3D. For robust, long-term operation in dynamic settings, advanced algorithms like VINS-Fusion or Kimera are leading choices. The best fit balances accuracy, computational cost, and robustness.

Your Answer