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Thomas Rasmussen

dblp:215/4000 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
teleoperation
0.312018
Intuitive Hand Teleoperation by Novice Operators Using a Continuous Teleoperation Subspace · ICRA 2018
Human-robot interaction › teleoperation
teleoperation subspace mapping
0.312018
Intuitive Hand Teleoperation by Novice Operators Using a Continuous Teleoperation Subspace · ICRA 2018

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

pose space projection · 0.3
YearPublicationVenuePosition
2018 Intuitive Hand Teleoperation by Novice Operators Using a Continuous Teleoperation Subspace
abstract
Human-in-the-loop manipulation is useful in when autonomous grasping is not able to deal sufficiently well with corner cases or cannot operate fast enough. Using the teleoperator's hand as an input device can provide an intuitive control method but requires mapping between pose spaces which may not be similar. We propose a low-dimensional and continuous teleoperation subspace which can be used as an intermediary for mapping between different hand pose spaces. We present an algorithm to project between pose space and teleoperation subspace. We use a non-anthropomorphic robot to experimentally prove that it is possible for teleoperation subspaces to effectively and intuitively enable teleoperation. In experiments, novice users completed pick and place tasks significantly faster using teleoperation subspace mapping than they did using state of the art teleoperation methods.
Cassie Meeker, Thomas Rasmussen, Matei T. Ciocarlie
ICRA2