Map-matching algorithms for robot self-localization: a comparison between perfect match, iterative closest point and normal distributions transform
The self-localization of mobile robots in the environment is one of the most fundamental
problems in the robotics navigation field. It is a complex and challenging problem due to the …
problems in the robotics navigation field. It is a complex and challenging problem due to the …
[HTML][HTML] An unmanned inland cargo vessel: Design, build, and experiments
G Peeters, M Kotzé, MR Afzal, T Catoor, S Van Baelen… - Ocean …, 2020 - Elsevier
Although road-based freight transport has large external costs, it currently dominates the
hinterland cargo transport sector in Europe. An increase of the automation levels of inland …
hinterland cargo transport sector in Europe. An increase of the automation levels of inland …
[HTML][HTML] Experimental evaluation of autonomous map-based spot navigation in confined environments
In this article, we address the task of experimental evaluation of autonomous map-based
navigation of a Boston Dynamics Spot quadruped robot in confined environments equipped …
navigation of a Boston Dynamics Spot quadruped robot in confined environments equipped …
CICP: Cluster Iterative Closest Point for sparse–dense point cloud registration
Point cloud registration is an important and fundamental building block of mobile robotics. It
forms an integral part of the processes of map**, localization, object detection and …
forms an integral part of the processes of map**, localization, object detection and …
Infrastructure-free hierarchical mobile robot global localization in repetitive environments
Repetitive or ambiguous environment, where structures are highly similar and distinct
geometric features are not sufficient, is one of the critical and challenging scenarios for …
geometric features are not sufficient, is one of the critical and challenging scenarios for …
On the development of a collaborative robotic system for industrial coating cells
For remaining competitive in the current industrial manufacturing markets, coating
companies need to implement flexible production systems for dealing with mass …
companies need to implement flexible production systems for dealing with mass …
Comparison of 3D Sensors for Automating Bolt-Tightening Operations in the Automotive Industry
J Dias, P Simões, N Soares, CM Costa, MR Petry… - Sensors, 2023 - mdpi.com
Machine vision systems are widely used in assembly lines for providing sensing abilities to
robots to allow them to handle dynamic environments. This paper presents a comparison of …
robots to allow them to handle dynamic environments. This paper presents a comparison of …
[HTML][HTML] Comparison of three key remote sensing technologies for mobile robot localization in nuclear facilities
Sensor technologies will play a key role in the success of Remote Maintenance (RM)
systems for future fusion reactors. In this paper, three key types of sensor technologies of …
systems for future fusion reactors. In this paper, three key types of sensor technologies of …
[HTML][HTML] Change detection and update of 3D sparse map by merging geometry and appearance
W Ma, Z Song, Y He, S Shen - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Large-scale 3D sparse maps generated by Structure-from-Motion (SfM) from images play an
important role in many applications, including visual localization, augmented reality, etc. In …
important role in many applications, including visual localization, augmented reality, etc. In …
Bin picking for ship-building logistics using perception and gras** systems
Bin picking is a challenging task involving many research domains within the perception and
gras** fields, for which there are no perfect and reliable solutions available that are …
gras** fields, for which there are no perfect and reliable solutions available that are …