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Andy Abate

dblp:164/8539 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—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 · 75% Robot manipulation · 25%

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
leg design
0.212015
Passive-dynamic leg design for agile robots · ICRA 2015
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.212015
Passive-dynamic leg design for agile robots · ICRA 2015
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
passive-dynamic locomotion
0.212015
Passive-dynamic leg design for agile robots · ICRA 2015
Robotics › Robot manipulation
robot design
0.212015
Passive-dynamic leg design for agile robots · ICRA 2015

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

impact inertia analysis · 0.2compliance analysis · 0.2
YearPublicationVenuePosition
2015 Passive-dynamic leg design for agile robots
abstract
The spring-mass locomotion paradigm is showing great promise as a template for agile and efficient robots. Efficiency and stability are enabled by the passive generation of locomotion patterns, rather than enforced by the control system. However, as leg designs develop more articulation and complexity, a problem arises: how do we implement a chosen set of passive dynamics in complex hardware? We present compliance and impact inertia analyses in a “visually tactile” way, allowing complex and redundant mechanism designs to be easily evaluated. The patterns shown here begin a framework for the comprehensive design of agile, highly dynamic robots.
Andy Abate, Ross L. Hatton, Jonathan W. Hurst
ICRA1