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Juan D. Gamba

dblp:303/8320 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › locomotion control
balance control
0.512021
Balancing on a Springy Leg · ICRA 2021
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.512021
Balancing on a Springy Leg · ICRA 2021

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

simulation study · 0.5balance controller · 0.5
YearPublicationVenuePosition
2021 Balancing on a Springy Leg
abstract
This paper presents a simulation study of the problem of balancing a planar double pendulum in which the lower body (the leg) has been modified to include a spring-loaded passive prismatic joint. Robots of this kind can travel by hopping, and can also stand and balance on a single point. The purpose of this study is to investigate the degree to which a balance controller can cope with the large and rapidly changing forces from the spring. It is shown that good performance can be achieved using an existing balance controller if the spring-loaded joint is instrumented so that its position and velocity can be taken into account when calculating the state variables needed by the balance controller.
Juan D. Gamba, Roy Featherstone
ICRA1