Robot Control Based on Force and Vision Sensors

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LAHAJNAR, Leon ;ŽLAJPAH, Leon .
Robot Control Based on Force and Vision Sensors. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 51, n.11, p. 724-736, august 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/robot-control-based-on-force-and-vision-sensors/>. Date accessed: 21 aug. 2019. 
doi:http://dx.doi.org/.
Lahajnar, L., & Žlajpah, L.
(2005).
Robot Control Based on Force and Vision Sensors.
Strojniški vestnik - Journal of Mechanical Engineering, 51(11), 724-736.
doi:http://dx.doi.org/
@article{.,
	author = {Leon  Lahajnar and Leon  Žlajpah},
	title = {Robot Control Based on Force and Vision Sensors},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {51},
	number = {11},
	year = {2005},
	keywords = {robotic systems; robotic control; force sensors; computer vision systems; },
	abstract = {In this paper a robot-control algorithm for tracking a curve on a surface is presented. During the tracking the robot maintains contact with the surface at a predefined force. The method is based on visual information provided by a camera mounted on the robot’s end effector, and the measured force acquired from a force sensor. The obtained data are analyzed and the required information is employed in the control algorithm to ensure satisfactory operation. The proposed solution gives new enhancement opportunities for industrial robot-based applications.},
	issn = {0039-2480},	pages = {724-736},	doi = {},
	url = {https://www.sv-jme.eu/article/robot-control-based-on-force-and-vision-sensors/}
}
Lahajnar, L.,Žlajpah, L.
2005 August 51. Robot Control Based on Force and Vision Sensors. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 51:11
%A Lahajnar, Leon 
%A Žlajpah, Leon 
%D 2005
%T Robot Control Based on Force and Vision Sensors
%B 2005
%9 robotic systems; robotic control; force sensors; computer vision systems; 
%! Robot Control Based on Force and Vision Sensors
%K robotic systems; robotic control; force sensors; computer vision systems; 
%X In this paper a robot-control algorithm for tracking a curve on a surface is presented. During the tracking the robot maintains contact with the surface at a predefined force. The method is based on visual information provided by a camera mounted on the robot’s end effector, and the measured force acquired from a force sensor. The obtained data are analyzed and the required information is employed in the control algorithm to ensure satisfactory operation. The proposed solution gives new enhancement opportunities for industrial robot-based applications.
%U https://www.sv-jme.eu/article/robot-control-based-on-force-and-vision-sensors/
%0 Journal Article
%R 
%& 724
%P 13
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 51
%N 11
%@ 0039-2480
%8 2017-08-18
%7 2017-08-18
Lahajnar, Leon, & Leon  Žlajpah.
"Robot Control Based on Force and Vision Sensors." Strojniški vestnik - Journal of Mechanical Engineering [Online], 51.11 (2005): 724-736. Web.  21 Aug. 2019
TY  - JOUR
AU  - Lahajnar, Leon 
AU  - Žlajpah, Leon 
PY  - 2005
TI  - Robot Control Based on Force and Vision Sensors
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - robotic systems; robotic control; force sensors; computer vision systems; 
N2  - In this paper a robot-control algorithm for tracking a curve on a surface is presented. During the tracking the robot maintains contact with the surface at a predefined force. The method is based on visual information provided by a camera mounted on the robot’s end effector, and the measured force acquired from a force sensor. The obtained data are analyzed and the required information is employed in the control algorithm to ensure satisfactory operation. The proposed solution gives new enhancement opportunities for industrial robot-based applications.
UR  - https://www.sv-jme.eu/article/robot-control-based-on-force-and-vision-sensors/
@article{{}{.},
	author = {Lahajnar, L., Žlajpah, L.},
	title = {Robot Control Based on Force and Vision Sensors},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {51},
	number = {11},
	year = {2005},
	doi = {},
	url = {https://www.sv-jme.eu/article/robot-control-based-on-force-and-vision-sensors/}
}
TY  - JOUR
AU  - Lahajnar, Leon 
AU  - Žlajpah, Leon 
PY  - 2017/08/18
TI  - Robot Control Based on Force and Vision Sensors
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 51, No 11 (2005): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - robotic systems, robotic control, force sensors, computer vision systems, 
N2  - In this paper a robot-control algorithm for tracking a curve on a surface is presented. During the tracking the robot maintains contact with the surface at a predefined force. The method is based on visual information provided by a camera mounted on the robot’s end effector, and the measured force acquired from a force sensor. The obtained data are analyzed and the required information is employed in the control algorithm to ensure satisfactory operation. The proposed solution gives new enhancement opportunities for industrial robot-based applications.
UR  - https://www.sv-jme.eu/article/robot-control-based-on-force-and-vision-sensors/
Lahajnar, Leon, AND Žlajpah, Leon.
"Robot Control Based on Force and Vision Sensors" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 51 Number 11 (18 August 2017)

Authors

Affiliations

  • Institute Jožef Štefan, Ljubljana, Slovenia
  • Institute Jožef Štefan, Ljubljana, Slovenia

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 51(2005)11, 724-736

In this paper a robot-control algorithm for tracking a curve on a surface is presented. During the tracking the robot maintains contact with the surface at a predefined force. The method is based on visual information provided by a camera mounted on the robot’s end effector, and the measured force acquired from a force sensor. The obtained data are analyzed and the required information is employed in the control algorithm to ensure satisfactory operation. The proposed solution gives new enhancement opportunities for industrial robot-based applications.

robotic systems; robotic control; force sensors; computer vision systems;