Demo Data from SIGIR 2026 / reviewers in the wild / expert
Marco Bellaccini
dblp:151/9430
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—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.
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% | |
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2014 | Manual guidance of humanoid robots without force sensors: Preliminary experiments with NAO · ICRA 2014 |
Human-robot interaction › learning from demonstration
manual guidance |
0.2 | 1 | 2014 | Manual guidance of humanoid robots without force sensors: Preliminary experiments with NAO · ICRA 2014 |
Human-robot interaction
physical human-robot interaction |
0.2 | 1 | 2014 | Manual guidance of humanoid robots without force sensors: Preliminary experiments with NAO · ICRA 2014 |
Methods — techniques the papers use, named apart from their topics
instantaneous capture point · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Manual guidance of humanoid robots without force sensors: Preliminary experiments with NAOabstractIn this paper we propose a method to perform manual guidance with humanoid robots. Manual guidance is a general model of physical interaction: here we focus on guiding a humanoid by its hands. The proposed technique can be, however, used also for joint object transportation and other tasks implying human-humanoid physical interaction. Using a measure of the Instantaneous Capture Point, we develop an equilibrium-based interaction technique that does not require force/torque or vision sensors. It is, therefore, particularly suitable for low-cost humanoids and toys. The proposed method has been experimentally validated on the small humanoid NAO. Marco Bellaccini, Leonardo Lanari, Antonio Paolillo, Marilena Vendittelli |
ICRA | 1 |