Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Knut Berg Kaldestad"'
Autor:
Knut Berg Kaldestad, Geir Hovland
Publikováno v:
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA).
This paper presents a point cloud sensor design based on laser triangulation. Both the camera axis and the laser axis are rotating, making it possible to scan on short and long range in high resolution. A third axis moves the laser and camera into a
Autor:
Ilya Tyapin, Stefan Anton, Dragoljub Surdilovic, Alberto Brunete, Knut Berg Kaldestad, Jukka Koskinen, Tapio Heikkilä, E. Gambao, Miguel Hernando, Geir Hovland, Aldo Bottero
Publikováno v:
Brunete, A, Gambao, E, Koskinen, J, Heikkilä, T, Kaldestad, K B, Tyapin, I, Hovland, G, Surdilovic, D, Hernando, M, Bottero, A & Anton, S 2018, ' Hard material small-batch industrial machining robot ', Robotics and Computer-Integrated Manufacturing, vol. 54, pp. 185-199 . https://doi.org/10.1016/j.rcim.2017.11.004
Hard materials can be cost effectively machined with standard industrial robots by enhancing current state-of-the-art technologies. It is demonstrated that even hard metals with specific robotics-optimised novel hard-metal tools can be machined by st
Publikováno v:
MESA
This paper presents a benchmark and accuracy analysis of 3D sensor calibration in a large industrial robot cell. The sensors used were the Kinect v2 which contains both an RGB and an IR camera measuring depth based on the time-of-flight principle. Th
Publikováno v:
IFAC Proceedings Volumes. 45:53-58
Deploying industrial robots in harsh outdoor environments require additional functionalities not currently provided. For instance, movement of standard industrial robots are pre-programmed to avoid collision. In dynamic and less structured environmen
Publikováno v:
SyRoCo
This paper presents a comparison of two approaches for detecting unknown obstacles inside the workspace of an industrial robot using a laser rangefinder for 2-D measurements. The two approaches are based on Expert System (ES) and Hidden Markov Model
Publikováno v:
Modeling, Identification and Control: A Norwegian Research Bulletin. 33:123-130
This paper presents adaptable methods for achieving fast collision detection using the GPU and Nvidia CUDA together with Octrees. Earlier related work have focused on serial methods, while this paper presents a parallel solution which shows that ther
Publikováno v:
IROS
In this paper the developed method for off-line compensation of tool deflections when milling aluminum with an industrial robot is presented. The efficiency of this approach is verified with high precision measurements of deflections using a laser tr
Publikováno v:
AIM
In this paper the developed method for off-line compensation of tool deflections and vibration reduction when milling aluminum with an industrial robot is presented. The efficiency of this approach is verified with high precision measurements of defl
Publikováno v:
ICRA
In this paper we present an experimental study on real-time collision avoidance with potential fields that are based on 3D point cloud data and processed on the Graphics Processing Unit (GPU). The virtual forces from the potential fields serve two pu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa83f47ab482c268aa04279359f5ca38
https://elib.dlr.de/90098/
https://elib.dlr.de/90098/