Off-topic for aiqbench
This story was gathered from a source we follow but falls outside AI and quantum coverage, so there is no aiqbench take for it.
Laser-Tracker-Assisted Camera-to-Robot Calibration for Mobile Robots
arXiv:2609.27006v1 Announce Type: new Abstract: We present a laser-tracker-assisted hand-eye calibration method for camera-equipped mobile robots. The method combines laser-tracker-based 3D metrology with camera-based 2D observations. Building on our previous laser-tracker-assisted camera-to-robot calibration method for ground-observing mobile robots, we present a generalized formulation for calibrating the camera pose in the coordinate system of tracker-localized mobile robots. The new approach relaxes assumptions of our previous method on robot and camera configuration by chaining multiple calibration targets resulting in a more general approach supporting various camera-equipped mobile robot systems.
Abstract:We present a laser-tracker-assisted hand-eye calibration method for camera-equipped mobile robots. The method combines laser-tracker-based 3D metrology with camera-based 2D observations. Building on our previous laser-tracker-assisted camera-to-robot calibration method for ground-observing mobile robots, we present a generalized formulation for calibrating the camera pose in the coordinate system of tracker-localized mobile robots. The new approach relaxes assumptions of our previous method on robot and camera configuration by chaining multiple calibration targets resulting in a more general approach supporting various camera-equipped mobile robot systems.
Robotics (cs.RO); Computer Vision and Pattern Recognition (cs.CV)
arXiv:2609.27006 [cs.RO]
(or arXiv:2609.27006v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2609.27006 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 181 words
Related coverage

NVIDIA GTC Taipei at COMPUTEX: Live Updates on What’s Next in AI
NVIDIA · May 21, 2026
From Perception to Assistance: Open-Vocabulary Shared Autonomy for Robotic Manipulation
arXiv · Jul 21, 2026

2026.5: We're on the same frequency now 📡
Home Assistant · May 6, 2026
A comparative study on the accuracy & repeatability of mobile robotic platforms for the delivery of precision NDE measurement
arXiv · Sep 4, 2026