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Kale Harbick

dblp:69/2132 · DBLP profile ↗
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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.

Artificial intelligence
1 paper
Legged, aerial and field robots · 50% Motion planning and robot control · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
hopping height control
0.012002
Controlling Hopping Height of a Pneumatic Monopod · ICRA 2002
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.012002
Controlling Hopping Height of a Pneumatic Monopod · ICRA 2002
Robotics › Motion planning and robot control › robot control
model-based control
0.012002
Controlling Hopping Height of a Pneumatic Monopod · ICRA 2002
Robotics › Motion planning and robot control
robot control
0.012002
Controlling Hopping Height of a Pneumatic Monopod · ICRA 2002

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

symmetry assumptions · 0.0pneumatic spring model · 0.0PD control · 0.0
YearPublicationVenuePosition
2002 Controlling Hopping Height of a Pneumatic Monopod
abstract
We describe a model-based height controller for a hopping robot with a pneumatically powered leg. The controller explicitly models variation in the leg angle and height. Using an explicit model of the physics of the pneumatic spring and some symmetry assumptions, we derive the desired leg-length setting to regulate apex hopping height using a PD controller. Simulation experiments of hopping in the sagittal plane show reasonable height regulation. For low-speed running, we take advantage of the small variations in the leg angle about the vertical, and demonstrate that the original symmetry assumptions may be relaxed by restricting the leg angle to /spl pi//2. Simulations show that the restricted model outperforms the original model by a small but significant amount.
Kale Harbick, Gaurav S. Sukhatme
ICRA1