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Erik Schulenburg

dblp:68/500 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0001-6571-1821ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3Artificial intelligence and machine learning · 2Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 87% Haptics and multimodal interaction · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
physical human-robot interaction
0.112011
Tactile sensing: a key technology for safe physical human robot interaction · HRI 2011
Human-robot interaction › safe human-robot interaction
safe physical interaction
0.112011
Tactile sensing: a key technology for safe physical human robot interaction · HRI 2011
Haptics and multimodal interaction
tactile sensing
0.012011
Tactile sensing: a key technology for safe physical human robot interaction · HRI 2011

Methods — techniques the papers use, named apart from their topics

tactile sensor · 0.1artificial skin · 0.1
YearPublicationVenuePosition
2020 Projective- AR Assistance System for shared Human-Robot Workplaces in Industrial Applications
abstract
Projective Augmented Reality (AR) systems are widely used in robotics. Main applications include information visualization to illustrate the intention of a robot or mobile platform, failure modes or teaching. A new topic in the field of projective AR for human-robot cooperation (HRC) states the visualization of safety-related information. In this industry practice paper, we present a system and method that realizes the illustration of safety zones monitored by laser-scanners. Furthermore, the system was build-up at a real industrial application with human- robot coexistence in a shared workspace.
Christian Vogel 0003, Erik Schulenburg, Norbert Elkmann
ETFA2
2015 Enabling multi-purpose mobile manipulators: Localization of glossy objects using a light-field camera
abstract
Capable mobile manipulators require sophisticated sensing and environment perception. An important task is the precise localization of objects to be handled. In order to be able to deal with a wide variety of applications, sensor systems need to be able to work with glossy, shiny or transparent objects. Here we present an approach to that problem based on analyzing specular reflections using a custom build, head mounted light-field camera. We derive a suitable algorithm including highlight feature detection as well as highlight depth estimation and will present exemplary results.
Christoph Walter, Felix Penzlin, Erik Schulenburg, Norbert Elkmann
ETFA3
2011 Tactile sensing: a key technology for safe physical human robot interaction
abstract
Human-robot interaction in a shared workspace permits and often even requires physical contact between humans and robots. A key technology to ensure that physical human robot interaction is safe is to monitor contact forces by providing the robot with a tactile sensor as an artificial skin.
Markus Fritzsche, Norbert Elkmann, Erik Schulenburg
HRI3
2008 Application of visual odometry for sewer inspection robots
abstract
Large waste water pipes are a hazardous working environment for humans. Nevertheless such pipes must be inspected on a regular basis. Many of todaypsilas inspection systems for underground sewer pipes consist of a single TV-camera and are designed for pipes smaller than one meter in diameter. The most recent automatic inspection systems are equipped with advanced sensors that make it possible for an operator to perform this task from an outside position for larger pipes (diameter between 1.4 to 2.8 meters). The cable-guided damage surveying system, SEK, (see Fig. 1) was developed by the Fraunhofer IFF on behalf of the Emschergenossenschaft to be a versatile and easy-to-use tool to detect various kinds of damages above and below the water-line with high accuracy.
José F. Saenz, Christoph Walter, Erik Schulenburg, Norbert Elkmann, Heiko Althoff
IROS3