Demo Data from SIGIR 2026 / reviewers in the wild / expert
Billy Liang Luu
dblp:40/8369
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › locomotion control
balance control |
0.1 | 1 | 2010 | Investigating human balance using a robotic motion platform · ICRA 2010 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2010 | Investigating human balance using a robotic motion platform · ICRA 2010 |
Health and well-being technologies › rehabilitation
balance training |
0.1 | 1 | 2010 | Investigating human balance using a robotic motion platform · ICRA 2010 |
Health and well-being technologies › rehabilitation technology
rehabilitation robotics |
0.1 | 1 | 2010 | Investigating human balance using a robotic motion platform · ICRA 2010 |
Robotics › Legged, aerial and field robots
field robotics |
0.0 | 1 | 2010 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Investigating human balance using a robotic motion platformabstractWe 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 |
ICRA | 2 |