David Fischinger

Orcid: 0000-0002-0806-0468

According to our database1, David Fischinger authored at least 15 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
The defalsif-AI project: protecting critical infrastructures against disinformation and fake news.
Elektrotech. Informationstechnik, 2021

2020
Results of Field Trials with a Mobile Service Robot for Older Adults in 16 Private Households.
ACM Trans. Hum. Robot Interact., 2020

2019
Robot Navigation in Domestic Environments: Experiences Using RGB-D Sensors in Real Homes.
J. Intell. Robotic Syst., 2019

Grasping Objects From the Floor in Assistive Robotics: Real World Implications and Lessons Learned.
IEEE Access, 2019

EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Hobbit: Providing Fall Detection and Prevention for the Elderly in the Real World.
J. Robotics, 2018

2016
Hobbit, a care robot supporting independent living at home: First prototype and lessons learned.
Robotics Auton. Syst., 2016

An RGB-D Visual Application for Error Detection in Robot Grasping Tasks.
Proceedings of the Intelligent Autonomous Systems 14, 2016

Learning and Detecting Objects with a Mobile Robot to Assist Older Adults in Their Homes.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
Learning grasps with topographic features.
Int. J. Robotics Res., 2015

2014
RGB-D sensor setup for multiple tasks of home robots and experimental results.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013
Learning grasps for unknown objects in cluttered scenes.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
Situiertes Sehen für bessere Erkennung von Objekten und Objektklassen.
Elektrotech. Informationstechnik, 2012

Shape Based Learning for Grasping Novel Objects in Cluttered Scenes.
Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012

Empty the basket - a shape based learning approach for grasping piles of unknown objects.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012


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