Intelligent strategies for mobile robotics in laboratory automation

Hui Liu

doi:10.18453/rosdok_id00002006

Hui Liu

Intelligent strategies for mobile robotics in laboratory automation

Universität Rostock, 2017

https://doi.org/10.18453/rosdok_id00002006

Abstract: In this thesis a new intelligent framework is presented for the mobile robots in laboratory automation, which includes: a new multi-floor indoor navigation method is presented and an intelligent multi-floor path planning is proposed; a new signal filtering method is presented for the robots to forecast their indoor coordinates; a new human feature based strategy is proposed for the robot-human smart collision avoidance; a new robot power forecasting method is proposed to decide a distributed transportation task; a new blind approach is presented for the arm manipulations for the robots.

Dissertation Freier Zugang

Titel:

Intelligent strategies for mobile robotics in laboratory automation

Beteiligte Personen:

Hui Liu[VerfasserIn]
	1043649859
Kerstin Thurow , Prof. Dr.-Ing. habil.[AkademischeR BetreuerIn]
	121586480
	University of Rostock, Institute of Automation
Norbert Stoll , Prof. Dr.-Ing.[AkademischeR BetreuerIn]
	133123405
	University of Rostock, Institute of Automation
Robin A. Felder , Prof., Ph.D.[AkademischeR BetreuerIn]
	University of Virginia, USA, Medical Automation Research Center

Beteiligte Körperschaften:

Universität Rostock, Fakultät für Informatik und Elektrotechnik[Grad-verleihende Institution]
	10085032-7

Zusammenfassung:

In this thesis a new intelligent framework is presented for the mobile robots in laboratory automation, which includes: a new multi-floor indoor navigation method is presented and an intelligent multi-floor path planning is proposed; a new signal filtering method is presented for the robots to forecast their indoor coordinates; a new human feature based strategy is proposed for the robot-human smart collision avoidance; a new robot power forecasting method is proposed to decide a distributed transportation task; a new blind approach is presented for the arm manipulations for the robots. [Englisch]

Dokumenttyp:

Dissertation

Einrichtung:

Fakultät für Informatik und Elektrotechnik

Sprache:

Englisch

Sachgruppe der DNB:

620 Ingenieurwissenschaften und Maschinenbau

Veröffentlichung /
Entstehung:

Rostock

Rostock: Universität Rostock

2017