Demo Data from SIGIR 2026 / reviewers in the wild / expert
Francisco J. Ruiz-Ruiz
dblp:289/4462
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-2763-4738ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021
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 · 50% Health and well-being technologies · 50% | |
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › assistive robotics
physical assistance |
0.6 | 1 | 2022 | Improving Standing Balance Performance through the Assistance of a Mobile Collaborative Robot · ICRA 2022 |
Robotics › Motion planning and robot control › robot control
admittance control |
0.2 | 1 | 2022 | Improving Standing Balance Performance through the Assistance of a Mobile Collaborative Robot · ICRA 2022 |
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2022 | Improving Standing Balance Performance through the Assistance of a Mobile Collaborative Robot · ICRA 2022 |
Methods — techniques the papers use, named apart from their topics
center of mass estimation · 1.1admittance control · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Improving Standing Balance Performance through the Assistance of a Mobile Collaborative RobotabstractThis paper presents the design and development of a robotic system to give physical assistance to the elderly or people with neurological disorders such as Ataxia or Parkin-son's. In particular, we propose using a mobile collaborative robot with an interaction-assistive whole-body interface to help people unable to maintain balance. The robotic system consists of an Omni-directional mobile base, a high-payload robotic arm, and an admittance-type interface acting as a support handle while measuring human-sourced interaction forces. The postural balance of the human body is estimated through the projection of the body Center of Mass (CoM) to the support polygon (SP) representing the quasi-static Center of Pressure (CoP). In response to the interaction forces and the tracking of the human posture, the robot can create assistive forces to restore balance in case of its loss. Otherwise, during normal stance or walking, it will follow the user with minimum/no opposing forces through the generation of coupled arm and base movements. As the balance-restoring strategy, we propose two strategies and evaluate them in a laboratory setting on healthy human participants. Quantitative and qualitative results of a 12-subjects experiment are then illustrated and discussed, comparing the performances of the two strategies and the overall system. Francisco J. Ruiz-Ruiz, Alberto Giammarino, Marta Lorenzini, Juan M. Gandarias, Jesús M. Gómez de Gabriel, Arash Ajoudani |
ICRA | 1 |