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Brett L. Kutscher

dblp:87/1340 · 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 manipulation · 67% Robot navigation and mapping · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › tactile sensing
tactile feedback control
0.112005
Dynamical Wall Following for a Wheeled Robot Using a Passive Tactile Sensor · ICRA 2005
Robotics › Robot manipulation
tactile sensing
0.112005
Dynamical Wall Following for a Wheeled Robot Using a Passive Tactile Sensor · ICRA 2005
Robotics › Robot navigation and mapping › mobile robot navigation › reactive navigation
wall following
0.112005
Dynamical Wall Following for a Wheeled Robot Using a Passive Tactile Sensor · ICRA 2005

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

passive tactile antenna · 0.1control stability analysis · 0.1
YearPublicationVenuePosition
2005 Dynamical Wall Following for a Wheeled Robot Using a Passive Tactile Sensor
abstract
Feedback from antennae - long, flexible tactile sensors - enables cockroaches and other arthropods to rapidly maneuver through poorly lit and cluttered environments. Inspired by their performance, we created a wall-following controller for a dynamic wheeled robot using tactile antenna feedback. We show this controller is stable for a wide range of control gains and robot system parameters. To test the controller, we constructed a two-link antenna that uses potentiometers and capacitive contact sensors. Experiments based on the prototype demonstrate that our controller robustly tracks unexpected corners ranging from -60° to +900.
Andrew G. Lamperski, Owen Y. Loh, Brett L. Kutscher, Noah J. Cowan
ICRA3