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Kim S. Tyree

dblp:70/762 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—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.

Artificial intelligence
1 paper
Robot navigation and mapping · 67% Robot manipulation · 33%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.112005
Robonaut Mobile Autonomy: Initial Experiments · ICRA 2005
Robotics › Robot navigation and mapping
mobile robot navigation
0.112005
Robonaut Mobile Autonomy: Initial Experiments · ICRA 2005
Robotics › Robot navigation and mapping
obstacle avoidance
0.112005
Robonaut Mobile Autonomy: Initial Experiments · ICRA 2005
Human-robot interaction
human-robot collaboration
0.112005
Robonaut Mobile Autonomy: Initial Experiments · ICRA 2005
Human-robot interaction › robot navigation
person following
0.112005
Robonaut Mobile Autonomy: Initial Experiments · ICRA 2005

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

tactile sensing · 0.1stereo vision · 0.1laser range finding · 0.1
YearPublicationVenuePosition
2005 Robonaut Mobile Autonomy: Initial Experiments
abstract
A mobile version of the NASA/DARPA Robonaut humanoid recently completed initial autonomy trials working directly with humans in cluttered environments. This compact robot combines the upper body of the Robonaut system with a Segway ™ Robotic Mobility Platform yielding a dexterous, maneuverable humanoid ideal for interacting with human co-workers in a range of environments. This system uses stereovision to locate human teammates and tools and a navigation system that uses laser range and vision data to follow humans while avoiding obstacles. Tactile sensors provide information to grasping algorithms for efficient tool exchanges. The autonomous architecture utilizes these pre-programmed skills to form complex behaviors. The initial behavior demonstrates a robust capability to assist a human by acquiring a tool from a remotely located individual and then following the human in a cluttered environment with the tool for future use.
Myron A. Diftler, Robert O. Ambrose, Michael Goza, Kim S. Tyree, Eric Huber
ICRA4