Estimation of Action/Reaction Forces for the Bilateral Control Using Kalman Filter

Mitsantisuk, Chowarit; Ohishi, Kiyoshi; Katsura, Seiichiro

doi:10.1109/tie.2011.2173092

Cited by 100 publications

(51 citation statements)

References 22 publications

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“…Future human-robot interaction will need sensor networks. To obtain effective information from various sensors, Kalman-filter-based sensor integration has been very much researched [91]- [99]. An in-depth survey on the use of Kalman filters for vision based mobile robots is presented in [100].…”

Section: B Applications In Robotics and Visionmentioning

confidence: 99%

Industrial Applications of the Kalman Filter: A Review

Auger

Hilairet

Guerrero

et al. 2013

IEEE Trans. Ind. Electron.

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498

188

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Abstract-The Kalman filter has received a huge interest from the industrial electronics community and has played a key role in many engineering fields since the 70s, ranging, without being exhaustive, trajectory estimation, state and parameter estimation for control or diagnosis, data merging, signal processing and so on. This paper provides a brief overview of the industrial applications and implementation issues of the Kalman filter in six topics of the industrial electronics community, highlighting some relevant reference papers and giving future research trends.

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Section: B Applications In Robotics and Visionmentioning

confidence: 99%

Industrial Applications of the Kalman Filter: A Review

Auger

Hilairet

Guerrero

et al. 2013

IEEE Trans. Ind. Electron.

Self Cite

498

188

View full text Add to dashboard Cite

show abstract

“…According to the current state to calculate the next optimal estimation valuê, and update the system covariance . (17) Every time the optimized estimate value ̂o f moment is obtained, the Kalman filter algorithm takes ̂a nd as exist conditions, and repeat these steps to make operation continuous [17][18][19][20][21][22].…”

Section: Figure 8 Action Time Of Latching Relaymentioning

confidence: 99%

A Novel Synchronous Switch Method Based on Kalman Filter

Gui-lin¹,

Chen²

2014

IJFGCN

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“…As similar studies, it is known the controller based on the disturbance observers for haptic motion control [4] [5]. We consider the controller scheme for reproducing brush pressure without force sensors.…”

Section: Introductionmentioning

confidence: 97%

Estimation and control of brush pressure by using IMC based controller

Suzuki

Suguru

Fujiki

et al. 2013

2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)

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In this paper, we propose the control method of a writing robot for reproducing brush pressure and trajectory without force sensors. The main goal of this research is to estimate and save the brush pressure by using the internal model control. In order to evaluate the proposed controllers, the experimental device is developed. The paper shows that the proposed controller is able to reproduce the brush pressure on flat and inclined surface through experiments.

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Estimation of Action/Reaction Forces for the Bilateral Control Using Kalman Filter

Cited by 100 publications

References 22 publications

Industrial Applications of the Kalman Filter: A Review

Industrial Applications of the Kalman Filter: A Review

A Novel Synchronous Switch Method Based on Kalman Filter

Estimation and control of brush pressure by using IMC based controller

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