Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Thomas Wösch

dblp:51/1986 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 · 100%
Artificial intelligence
1 paper
Robot manipulation · 50% Motion planning and robot control · 50%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction › physical human-robot interaction
tactile interaction		 0.012002
Reactive Motion Control for Human-Robot Tactile Interaction · ICRA 2002
Robotics › Motion planning and robot control › mobile robot control
mobile manipulator control		 0.012002
Reactive Motion Control for Human-Robot Tactile Interaction · ICRA 2002
Robotics › Robot manipulation
service robot		 0.012002
Reactive Motion Control for Human-Robot Tactile Interaction · ICRA 2002

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

tactile sensor force measurement · 0.1motion vector superposition · 0.1
YearPublicationVenuePosition
2002 Reactive Motion Control for Human-Robot Tactile Interaction
abstract
In the field of service robotics, robots serve and assist human beings. It is natural for humans to directly interact with the robot via tactile interfaces. This paper introduces several kinds of tactile interactions between a user and the robot as well as interactions of the robot with the environment. All interactions are implemented in a single paradigm: Forces measured from tactile sensors result in motion vectors at the contact points. The motion vectors from different sensors are superimposed and then determine the robot's joint velocities. We present results from our experimental setup consisting of an 8 degrees of freedom manipulator arm mounted on a mobile platform. In the illustrated example, a human interacts with the robot using only the tactile interface.
Thomas Wösch, Wendelin Feiten
 ICRA1