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Billy Liang Luu

dblp:40/8369 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0002-2529-6560ORCID · reported

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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
Motion planning and robot control · 87% Legged, aerial and field robots · 13%
Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › locomotion control
balance control
0.112010
Investigating human balance using a robotic motion platform · ICRA 2010
Robotics › Motion planning and robot control
robot control
0.112010
Investigating human balance using a robotic motion platform · ICRA 2010
Health and well-being technologies › rehabilitation
balance training
0.112010
Investigating human balance using a robotic motion platform · ICRA 2010
Health and well-being technologies › rehabilitation technology
rehabilitation robotics
0.112010
Investigating human balance using a robotic motion platform · ICRA 2010
Robotics › Legged, aerial and field robots
field robotics
0.012010
Investigating human balance using a robotic motion platform · ICRA 2010

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

inverted pendulum model · 0.2
YearPublicationVenuePosition
2010 Investigating human balance using a robotic motion platform
abstract
We present the system design for a novel robotic balance simulator that enables the investigation of the balance mechanisms involved in natural human standing. Our system allows for complete control of task dynamics to mimic normal standing while avoiding the pitfalls associated with applying external perturbations. The system enables subjects to balance themselves according to a programmable physical model of an inverted pendulum. Subjects were able to balance the system, and results show that the load stiffness curves approximate those of normal human standing to within 20.1 ± 9.7% (S.D.). Differences were within the range expected from control loop delay, reduced ankle motion, and approximations inherent to the inverted pendulum model.
Thomas Peter Huryn, Billy Liang Luu, H. F. Machiel Van der Loos, Jean-Sébastien Blouin, Elizabeth A. Croft
ICRA2