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Krittin Pachtrachai

4 accepted papers

2021

Learning to Calibrate - Estimating the Hand-eye Transformation Without Calibration Objects

RA-L 2021

Hand-eye calibration is a method to determine the transformation linking between the robot and camera coordinate systems. Conventional calibration algorithms use a calibration grid to determine camera poses, corresponding to the robot poses, both of which are used in the main calibration procedure.

Cited by 21SourceScholar
2019

Hand-Eye Calibration With a Remote Centre of Motion

RA-L 2019

In the eye-in-hand robot configuration, hand-eye calibration plays a vital role in completing the link between the robot and camera coordinate systems. Calibration algorithms are mature and provide accurate transformation estimations for an effective camera-robot link but rely on a sufficiently wide

Cited by 22SourceScholar
2018

CHESS - Calibrating the Hand-Eye Matrix With Screw Constraints and Synchronization

RA-L 2018

Hand-eye calibration is a classic problem in robotics that aims to find the transformation between two rigidly attached reference frames, usually a camera and a robot end-effector or a motion tracker. Most hand-eye calibration techniques require two data streams, one containing the eye (camera) moti

Cited by 19SourceScholar
2016

Hand-eye calibration for robotic assisted minimally invasive surgery without a calibration object

IROS 2016poster

In a robot mounted camera arrangement, hand-eye calibration estimates the rigid relationship between the robot and camera coordinate frames. Most hand-eye calibration techniques use a calibration object to estimate the relative transformation of the camera in several views of the calibration object…

Cited by 64SourceScholar