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You searched for +publisher:"Delft University of Technology" +contributor:("Rudinac, M."). Showing records 1 – 8 of 8 total matches.

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Delft University of Technology

1. Aertssen, A.J.J. An intelligent camera system for the Healthcare:.

Degree: 2011, Delft University of Technology

 Objective: Injuries caused by falls of elderly people are a common worldwide problem and ageing of population will even further increase related burdens and costs.… (more)

Subjects/Keywords: Computer Vision; Healthcare Applications; Motion & Action Detection

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APA (6th Edition):

Aertssen, A. J. J. (2011). An intelligent camera system for the Healthcare:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a7517678-7120-45f6-973e-248de17998be

Chicago Manual of Style (16th Edition):

Aertssen, A J J. “An intelligent camera system for the Healthcare:.” 2011. Masters Thesis, Delft University of Technology. Accessed March 29, 2020. http://resolver.tudelft.nl/uuid:a7517678-7120-45f6-973e-248de17998be.

MLA Handbook (7th Edition):

Aertssen, A J J. “An intelligent camera system for the Healthcare:.” 2011. Web. 29 Mar 2020.

Vancouver:

Aertssen AJJ. An intelligent camera system for the Healthcare:. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2020 Mar 29]. Available from: http://resolver.tudelft.nl/uuid:a7517678-7120-45f6-973e-248de17998be.

Council of Science Editors:

Aertssen AJJ. An intelligent camera system for the Healthcare:. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:a7517678-7120-45f6-973e-248de17998be


Delft University of Technology

2. Van Egmond, J.A. Robust object tracking with depth data:.

Degree: 2014, Delft University of Technology

 Object tracking plays a vital role in the future of Robotics as it is used for motion planning and decision making. In recent years, research… (more)

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APA (6th Edition):

Van Egmond, J. A. (2014). Robust object tracking with depth data:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0f11d1b7-21ba-4926-bef9-8720387e34d0

Chicago Manual of Style (16th Edition):

Van Egmond, J A. “Robust object tracking with depth data:.” 2014. Masters Thesis, Delft University of Technology. Accessed March 29, 2020. http://resolver.tudelft.nl/uuid:0f11d1b7-21ba-4926-bef9-8720387e34d0.

MLA Handbook (7th Edition):

Van Egmond, J A. “Robust object tracking with depth data:.” 2014. Web. 29 Mar 2020.

Vancouver:

Van Egmond JA. Robust object tracking with depth data:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2020 Mar 29]. Available from: http://resolver.tudelft.nl/uuid:0f11d1b7-21ba-4926-bef9-8720387e34d0.

Council of Science Editors:

Van Egmond JA. Robust object tracking with depth data:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:0f11d1b7-21ba-4926-bef9-8720387e34d0


Delft University of Technology

3. Domhof, J.F.M. Multimodal Joint Visual Attention Model for Natural Human-Robot Interaction in Domestic Environments:.

Degree: 2015, Delft University of Technology

 Due to population ageing, the cost of health care will raise in the coming years. One way to help humans, and especially elderly people, is… (more)

Subjects/Keywords: Joint visual attention; shared attention; attention; human-robot interaction; pointing; gestures; Gaze; saliency; sensor fusing; computer vision

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APA (6th Edition):

Domhof, J. F. M. (2015). Multimodal Joint Visual Attention Model for Natural Human-Robot Interaction in Domestic Environments:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:41896a30-7891-4a78-925d-b39df19fa83f

Chicago Manual of Style (16th Edition):

Domhof, J F M. “Multimodal Joint Visual Attention Model for Natural Human-Robot Interaction in Domestic Environments:.” 2015. Masters Thesis, Delft University of Technology. Accessed March 29, 2020. http://resolver.tudelft.nl/uuid:41896a30-7891-4a78-925d-b39df19fa83f.

MLA Handbook (7th Edition):

Domhof, J F M. “Multimodal Joint Visual Attention Model for Natural Human-Robot Interaction in Domestic Environments:.” 2015. Web. 29 Mar 2020.

Vancouver:

Domhof JFM. Multimodal Joint Visual Attention Model for Natural Human-Robot Interaction in Domestic Environments:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2020 Mar 29]. Available from: http://resolver.tudelft.nl/uuid:41896a30-7891-4a78-925d-b39df19fa83f.

Council of Science Editors:

Domhof JFM. Multimodal Joint Visual Attention Model for Natural Human-Robot Interaction in Domestic Environments:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:41896a30-7891-4a78-925d-b39df19fa83f

4. Rozemuller, C.G. Action learning from human demonstrations for personal robots:.

Degree: 2013, Delft University of Technology

 Household robots need to perform tasks specific for the owner. With Learning from demonstration (LfD) a robot can learn new tasks from human demonstrations, without… (more)

Subjects/Keywords: learning from demonstrations

…the best ideas have emerged. Delft, University of Technology December 1, 2013 Master of… 

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APA (6th Edition):

Rozemuller, C. G. (2013). Action learning from human demonstrations for personal robots:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4dbcecf9-e143-4f16-b315-f4a509140b7d

Chicago Manual of Style (16th Edition):

Rozemuller, C G. “Action learning from human demonstrations for personal robots:.” 2013. Masters Thesis, Delft University of Technology. Accessed March 29, 2020. http://resolver.tudelft.nl/uuid:4dbcecf9-e143-4f16-b315-f4a509140b7d.

MLA Handbook (7th Edition):

Rozemuller, C G. “Action learning from human demonstrations for personal robots:.” 2013. Web. 29 Mar 2020.

Vancouver:

Rozemuller CG. Action learning from human demonstrations for personal robots:. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2020 Mar 29]. Available from: http://resolver.tudelft.nl/uuid:4dbcecf9-e143-4f16-b315-f4a509140b7d.

Council of Science Editors:

Rozemuller CG. Action learning from human demonstrations for personal robots:. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:4dbcecf9-e143-4f16-b315-f4a509140b7d

5. Alagarsamybalasubramanian, A.C. Towards Bootstrapping Robotic Perception of Indoor Environments:.

Degree: 2012, Delft University of Technology

 Robots have been popular amongst us as Science fiction characters for a few decades now. The inability of the robots to robustly perceive and respond… (more)

Subjects/Keywords: robots; perception; object recognition

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APA (6th Edition):

Alagarsamybalasubramanian, A. C. (2012). Towards Bootstrapping Robotic Perception of Indoor Environments:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ae201f3b-6470-458e-a988-f077484a6639

Chicago Manual of Style (16th Edition):

Alagarsamybalasubramanian, A C. “Towards Bootstrapping Robotic Perception of Indoor Environments:.” 2012. Masters Thesis, Delft University of Technology. Accessed March 29, 2020. http://resolver.tudelft.nl/uuid:ae201f3b-6470-458e-a988-f077484a6639.

MLA Handbook (7th Edition):

Alagarsamybalasubramanian, A C. “Towards Bootstrapping Robotic Perception of Indoor Environments:.” 2012. Web. 29 Mar 2020.

Vancouver:

Alagarsamybalasubramanian AC. Towards Bootstrapping Robotic Perception of Indoor Environments:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2020 Mar 29]. Available from: http://resolver.tudelft.nl/uuid:ae201f3b-6470-458e-a988-f077484a6639.

Council of Science Editors:

Alagarsamybalasubramanian AC. Towards Bootstrapping Robotic Perception of Indoor Environments:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:ae201f3b-6470-458e-a988-f077484a6639

6. Gaisser, F. Face Recognition for Cognitive Robots:.

Degree: 2013, Delft University of Technology

 In the near future the elderly population will increase in size up to a point that there are not enough people to provide support. One… (more)

Subjects/Keywords: face recognition; cognitive robots; robotics

…thesis in his department. I enjoyed doing research and hope to stay. Delft, University of… …Technology January 20, 2013 Master of Science Thesis F. Gaisser F. Gaisser viii F. Gaisser… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gaisser, F. (2013). Face Recognition for Cognitive Robots:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4b912a2c-2951-411f-be76-7ef2cf135703

Chicago Manual of Style (16th Edition):

Gaisser, F. “Face Recognition for Cognitive Robots:.” 2013. Masters Thesis, Delft University of Technology. Accessed March 29, 2020. http://resolver.tudelft.nl/uuid:4b912a2c-2951-411f-be76-7ef2cf135703.

MLA Handbook (7th Edition):

Gaisser, F. “Face Recognition for Cognitive Robots:.” 2013. Web. 29 Mar 2020.

Vancouver:

Gaisser F. Face Recognition for Cognitive Robots:. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2020 Mar 29]. Available from: http://resolver.tudelft.nl/uuid:4b912a2c-2951-411f-be76-7ef2cf135703.

Council of Science Editors:

Gaisser F. Face Recognition for Cognitive Robots:. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:4b912a2c-2951-411f-be76-7ef2cf135703

7. Lekkerkerker, C.J. Gaining by forgetting: Towards long-term mobile robot autonomy in large scale environments using a novel hybrid metric-topological mapping system:.

Degree: 2014, Delft University of Technology

 The emerging of mobile robots in everyday life scenarios, such as in the case of domestic care robots, is highly anticipated. Much research has been… (more)

Subjects/Keywords: SLAM; robotics; navigation; mapping; localization; artificial intelligence

…BMechE), which are both departments at the Delft University of Technology (TU Delft… …x28;a) Delft University of Technology personal robot Eva can do some simple tasks, such… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lekkerkerker, C. J. (2014). Gaining by forgetting: Towards long-term mobile robot autonomy in large scale environments using a novel hybrid metric-topological mapping system:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8973addb-9253-4a78-a3d9-6aa58789b90f

Chicago Manual of Style (16th Edition):

Lekkerkerker, C J. “Gaining by forgetting: Towards long-term mobile robot autonomy in large scale environments using a novel hybrid metric-topological mapping system:.” 2014. Masters Thesis, Delft University of Technology. Accessed March 29, 2020. http://resolver.tudelft.nl/uuid:8973addb-9253-4a78-a3d9-6aa58789b90f.

MLA Handbook (7th Edition):

Lekkerkerker, C J. “Gaining by forgetting: Towards long-term mobile robot autonomy in large scale environments using a novel hybrid metric-topological mapping system:.” 2014. Web. 29 Mar 2020.

Vancouver:

Lekkerkerker CJ. Gaining by forgetting: Towards long-term mobile robot autonomy in large scale environments using a novel hybrid metric-topological mapping system:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2020 Mar 29]. Available from: http://resolver.tudelft.nl/uuid:8973addb-9253-4a78-a3d9-6aa58789b90f.

Council of Science Editors:

Lekkerkerker CJ. Gaining by forgetting: Towards long-term mobile robot autonomy in large scale environments using a novel hybrid metric-topological mapping system:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:8973addb-9253-4a78-a3d9-6aa58789b90f


Delft University of Technology

8. Chandarr, Aswin. Human centric object perception for service robots.

Degree: 2016, Delft University of Technology

 The research interests and applicability of robotics have diversified and seen a tremendous growth in recent years. There has been a shift from industrial robots… (more)

Subjects/Keywords: Service robots; Robot vision; Object recognition

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APA (6th Edition):

Chandarr, A. (2016). Human centric object perception for service robots. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; urn:NBN:nl:ui:24-uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; 10.4233/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; urn:isbn:978-90-8759-634-7 ; urn:NBN:nl:ui:24-uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; http://resolver.tudelft.nl/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2

Chicago Manual of Style (16th Edition):

Chandarr, Aswin. “Human centric object perception for service robots.” 2016. Doctoral Dissertation, Delft University of Technology. Accessed March 29, 2020. http://resolver.tudelft.nl/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; urn:NBN:nl:ui:24-uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; 10.4233/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; urn:isbn:978-90-8759-634-7 ; urn:NBN:nl:ui:24-uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; http://resolver.tudelft.nl/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2.

MLA Handbook (7th Edition):

Chandarr, Aswin. “Human centric object perception for service robots.” 2016. Web. 29 Mar 2020.

Vancouver:

Chandarr A. Human centric object perception for service robots. [Internet] [Doctoral dissertation]. Delft University of Technology; 2016. [cited 2020 Mar 29]. Available from: http://resolver.tudelft.nl/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; urn:NBN:nl:ui:24-uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; 10.4233/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; urn:isbn:978-90-8759-634-7 ; urn:NBN:nl:ui:24-uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; http://resolver.tudelft.nl/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2.

Council of Science Editors:

Chandarr A. Human centric object perception for service robots. [Doctoral Dissertation]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; urn:NBN:nl:ui:24-uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; 10.4233/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; urn:isbn:978-90-8759-634-7 ; urn:NBN:nl:ui:24-uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2 ; http://resolver.tudelft.nl/uuid:aa07ed45-93bc-4e8e-a7f2-e5728b187ac2

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