Wheeled mobile robots: a review

RS Ortigoza, M Marcelino-Aranda… - IEEE Latin America …, 2012 - ieeexplore.ieee.org
Robotics is a fast develo** and exciting field with multiple applications which span from
robot manipulators to mobile robots. This paper presents a literature review on wheeled …

A new kind of accurate calibration method for robotic kinematic parameters based on the extended Kalman and particle filter algorithm

Z Jiang, W Zhou, H Li, Y Mo, W Ni… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Precise positioning of a robot plays an very important role in advanced industrial
applications, and this paper presents a new kinematic calibration method based on the …

A new calibration method for enhancing robot position accuracy by combining a robot model–based identification approach and an artificial neural network–based …

HN Nguyen, PN Le, HJ Kang - Advances in Mechanical …, 2019 - journals.sagepub.com
Robot position accuracy plays a very important role in advanced industrial applications. This
article proposes a new method for enhancing robot position accuracy. In order to increase …

Simultaneous localization and odometry self calibration for mobile robot

A Martinelli, N Tomatis, R Siegwart - Autonomous Robots, 2007 - Springer
This paper presents both the theory and the experimental results of a method allowing
simultaneous robot localization and odometry error estimation (both systematic and non …

Robots serve humans in public places—KeJia robot as a shop** assistant

Y Chen, F Wu, W Shuai, X Chen - International Journal of …, 2017 - journals.sagepub.com
This paper reports the project of a shop** mall service robot, named KeJia, which is
designed for customer guidance, providing information and entertainments in a real …

Robot manipulator calibration using a model based identification technique and a neural network with the teaching learning-based optimization

PN Le, HJ Kang - IEEE Access, 2020 - ieeexplore.ieee.org
This paper proposes a new calibration method for enhancing robot positional accuracy of
the industrial manipulators. By combining the joint deflection model with the conventional …

Augmented Kalman filter design in a localization system using onboard sensors with intrinsic delays

B Fariña, J Toledo, L Acosta - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
This article presents a novel approach to address the limitations of the conventional
augmented Kalman filter (AKF) when only onboard incremental sensors are used, which is a …

Evolution of odometry calibration methods for ground mobile robots

RB Sousa, MR Petry, AP Moreira - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Localisation is a critical problem in ground mobile robots. For dead reckoning, odometry is
usually used. A disadvantage of using it alone is unbounded error accumulation. So …

Localization and self-calibration of a robot for volcano exploration

D Caltabiano, G Muscato… - … Conference on Robotics …, 2004 - ieeexplore.ieee.org
This work describes an algorithm for the localization and self calibration of a mobile robot.
Data from a DGPS and two optical encoders are fused by an extended Kalman filter (EKF) in …

[HTML][HTML] Algorithmic solutions for computing precise maximum likelihood 3D point clouds from mobile laser scanning platforms

J Elseberg, D Borrmann, A Nüchter - Remote Sensing, 2013 - mdpi.com
Mobile laser scanning puts high requirements on the accuracy of the positioning systems
and the calibration of the measurement system. We present a novel algorithmic approach for …