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W. C. Flannigan

dblp:46/242 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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.

Artificial intelligence
2 papers
Legged, aerial and field robots · 75% Motion planning and robot control · 25%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.021998
Locomotion Controller for a Crab-Like Robot · ICRA 1998
Design and simulation of a cockroach-like hexapod robot · ICRA 1997
Robotics › Legged, aerial and field robots › bio-inspired robot
bio-inspired robot control
0.011998
Locomotion Controller for a Crab-Like Robot · ICRA 1998
Robotics › Motion planning and robot control › robot control
gait control
0.011998
Locomotion Controller for a Crab-Like Robot · ICRA 1998
Robotics › Legged, aerial and field robots
rough terrain locomotion
0.011998
Locomotion Controller for a Crab-Like Robot · ICRA 1998
Robotics › Motion planning and robot control › robot dynamics
dynamic simulation
0.011997
Design and simulation of a cockroach-like hexapod robot · ICRA 1997

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

mechanism-based gait control · 0.0insect-inspired reflexes · 0.0pulse-width modulation · 0.0pneumatic actuation · 0.0dynamic simulation · 0.0
YearPublicationVenuePosition
1998 Locomotion Controller for a Crab-Like Robot
abstract
A rough terrain locomotion controller for an eight-legged demining robot built by K/sup 2/T, Inc. is presented. The method takes inspiration from the behavior of biological organisms to create a robust yet computationally simple controller. Included is a brief description of mechanism based gait control and insect-inspired reflexes for rough terrain locomotion which were previously used to control a hexapod robot with great success. This method is then applied to develop a locomotion controller for the K/sup 2/T crab-like demining robot. In simulation, the resulting controller causes the robot to display successful rough terrain navigation ability including walking over irregular terrain, traversing obstacles on the order of half the tibia length, traversing sparse terrain, and crossing ditches, all without complex sensing or terrain mapping.
W. C. Flannigan, Gabriel M. Nelson, Roger D. Quinn
ICRA1
1997 Design and simulation of a cockroach-like hexapod robot
abstract
This paper describes the design and simulation of a cockroach-like hexapod robot which is under construction for the purpose of testing control principles which are being extracted from the cockroach. The cockroach was chosen because of its remarkable running and climbing capabilities and because much is known about its biomechanics and control. The robot is designed with five, four, and three degrees of freedom in the front, middle and rear legs, respectively, to permit it to mimic the different functions of cockroach legs. Pneumatic cylinders actuate each joint and provide opposing muscle-like forces to actuate the joints. Pulse-width modulation controls the actuators with the necessary smoothness and precision. A dynamic simulation has been developed to predict loads on the structure and the required joint torques.
Gabriel M. Nelson, Roger D. Quinn, Richard J. Bachmann, W. C. Flannigan, Roy E. Ritzmann, J. T. Watson
ICRA4