Sequor Robotics Research
Welcome to the research division of Sequor Robotics. We believe the world is not 2D — our mission is to enable robots to understand and learn in the world humans inhabit.
Our work centers on 3D vision and simulation: we turn real physical spaces into learnable 3D environments so robots can be trained safely and at scale, and we work toward a Robot Foundation Model that lets them perceive, plan, and act across diverse environments. This site collects the research, publications, and open-source work coming out of our team — see our research for a list of our works.
Get in touch:
- Learn more about the company at sequorrobotics.com.
- Interested in working with us? Join our team.
- Watch our work on YouTube.
news
| Jun 17, 2026 | The following paper is accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026): RVN-Bench: A Benchmark for Reactive Visual Navigation |
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| Oct 20, 2025 | The following paper is accepted to the IEEE Robotics and Automation Letters (RA-L): Memory-Efficient Voxelized Renderable Neural 3D Spatial Representation for Vision-Based Robotics |
| Jul 01, 2024 | The following paper is accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024): Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning |