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Kirill Van Heerden

dblp:160/6555 · 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 · 67% Motion planning and robot control · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › trajectory planning
center-of-mass trajectory planning
0.212015
Planning COM trajectory with variable height and foot position with reactive stepping for humanoid robots · ICRA 2015
Robotics › Legged, aerial and field robots › legged robots
humanoid locomotion
0.212015
Planning COM trajectory with variable height and foot position with reactive stepping for humanoid robots · ICRA 2015
Robotics › Legged, aerial and field robots › legged robots
reactive stepping
0.212015
Planning COM trajectory with variable height and foot position with reactive stepping for humanoid robots · ICRA 2015

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

zero-moment-point constraint · 0.2sequential quadratic programming · 0.2quadratically constrained quadratic program · 0.2
YearPublicationVenuePosition
2015 Planning COM trajectory with variable height and foot position with reactive stepping for humanoid robots
abstract
This paper presents a trajectory generator for humanoid robots that can simultaneously consider 3D position tracking of the center-of-mass (COM), reactive stepping (foot positions are non-constant), zero-moment-point (ZMP) constraints as well as position constraints. The variable COM height leads to nonlinear ZMP constraints. This work demonstrates that depending on how strict the constraints are, it is possible to generate 1.6 second long trajectories in less than 5 ms on a 3.4 Ghz CPU. This is done by expressing the problem as a quadratically constrained quadratic program (QCQP) and solving it via sequential quadratic programming (SQP). Computation time is improved by providing the analytical derivatives of all constraints. In particular the nonlinear ZMP constraint is expressed in a quadratic form and its derivative is provided.
Kirill Van Heerden
ICRA1