Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ronald Marchessault
dblp:76/9964
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
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 |
Robot manipulation · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
mobile manipulation |
0.1 | 1 | 2011 | An advanced medical robotic system augmenting healthcare capabilities - robotic nursing assistant · ICRA 2011 |
Human-robot interaction
healthcare robotics |
0.0 | 1 | 2011 | An advanced medical robotic system augmenting healthcare capabilities - robotic nursing assistant · ICRA 2011 |
Human-robot interaction
teleoperation |
0.0 | 1 | 2011 | An advanced medical robotic system augmenting healthcare capabilities - robotic nursing assistant · ICRA 2011 |
Human-robot interaction › teleoperation
telepresence control |
0.0 | 1 | 2011 | An advanced medical robotic system augmenting healthcare capabilities - robotic nursing assistant · ICRA 2011 |
Methods — techniques the papers use, named apart from their topics
series elastic actuation · 0.2holonomic drive · 0.23d sensing · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | An advanced medical robotic system augmenting healthcare capabilities - robotic nursing assistantabstractA persistent-if less glamorous—challenge in hospitals lies in the day-to-day work of moving and lifting patients with impaired mobility. This is a challenge intensified by our burgeoning aging population, the obesity epidemic, and our aging healthcare workforce. During manual patient handling, the predominant risk of staff injury is excessive back and shoulder loading. A mobile robotic nurse assistant (RoNA) is highly desired to enhance the efficacy and quality of care that nurses and their paraprofessional staff can provide. Such an assistant could improve a nurse's working conditions by off-loading some of his or her most physically demanding duties, thereby reducing the potential for self-injury or injury to the patient. Hstar Technologies is developing a revolutionary RoNA system that provides physical assistance to nurses in a hospital ward. The design of RoNA is a safe and robust system that works effectively in a hospital environment under direct and telepresence control by a nurse or physician. RoNA has a humanoid design featuring bimanual dexterous manipulators that employ a series-elastic-actuation (SEA) system. These electric actuators provide manipulator compliance, safety, flexibility and the strength to lift patients weighing up to 300lbs. RoNA also features an innovative humanoid upper torso, a unique mobile platform with holonomic drive and posture stability enhancement, intelligent navigation control with 3D sensing and perception capability, an intuitive and innovative human-robot interaction control interface, and a highly integrated plan for healthcare system assembly. We anticipate that robotic maneuvering assistants would increase job satisfaction, reduce lifting-related injuries, and extend the years of effective service nurses could render in hospitals. These effects would reduce hospital costs and ameliorate problems posed by the shortage of nursing staff. John Hu, Aaron Edsinger, Yi-Je Lim, Nick Donaldson, Mario Solano, Aaron Solochek, Ronald Marchessault |
ICRA | 7 |