Demo Data from EDBT 2026 / reviewers in the wild / expert
Giorgia Maimone
dblp:402/2477
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0009-4049-175XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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.
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › teleoperation
bilateral teleoperation |
0.9 | 1 | 2025 | Human-Inspired Active Compliant and Passive Shared Control Framework for Robotic Contact-Rich Tasks in Medical Applications · IEEE Trans. Robotics 2025 |
Robotics › Motion planning and robot control
robot control |
0.9 | 1 | 2025 | Human-Inspired Active Compliant and Passive Shared Control Framework for Robotic Contact-Rich Tasks in Medical Applications · IEEE Trans. Robotics 2025 |
Robotics › Motion planning and robot control › teleoperation
shared control |
0.9 | 1 | 2025 | Human-Inspired Active Compliant and Passive Shared Control Framework for Robotic Contact-Rich Tasks in Medical Applications · IEEE Trans. Robotics 2025 |
Robotics › Motion planning and robot control › robot control › impedance control
variable impedance control |
0.9 | 1 | 2025 | Human-Inspired Active Compliant and Passive Shared Control Framework for Robotic Contact-Rich Tasks in Medical Applications · IEEE Trans. Robotics 2025 |
Medical and health informatics
medical robotics |
0.3 | 1 | 2025 | Human-Inspired Active Compliant and Passive Shared Control Framework for Robotic Contact-Rich Tasks in Medical Applications · IEEE Trans. Robotics 2025 |
Medical and health informatics › surgical robotics
robot-assisted surgery |
0.3 | 1 | 2025 | Human-Inspired Active Compliant and Passive Shared Control Framework for Robotic Contact-Rich Tasks in Medical Applications · IEEE Trans. Robotics 2025 |
Medical and health informatics › medical imaging › ultrasound imaging
ultrasound scanning |
0.3 | 1 | 2025 | Human-Inspired Active Compliant and Passive Shared Control Framework for Robotic Contact-Rich Tasks in Medical Applications · IEEE Trans. Robotics 2025 |
Methods — techniques the papers use, named apart from their topics
passivity-based control · 1.7energy tank · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Human-Inspired Active Compliant and Passive Shared Control Framework for Robotic Contact-Rich Tasks in Medical ApplicationsabstractThis work presents a compliant and passive shared control framework for teleoperated robot-assisted tasks. Inspired by the human operator's capability of continuously regulating the arm impedance to perform contact-rich tasks, a novel control schema, exploiting the variable impedance control framework for force tracking is proposed. Moreover, bilateral teleoperation and shared control strategies are implemented to alleviate the human operator's workload. Furthermore, a global energy tank-based approach is integrated to enforce the system's passivity. The proposed framework is first evaluated to assess the force-tracking capability when the robot autonomously performs contact-rich tasks, e.g., in an ultrasound scanning scenario. Then, a validation experiment is conducted utilizing the proposed shared control framework. Finally, the system's usability is investigated with 12 users. The experiment results in system assessment revealed a maximum median error of 0.25 N across all the force-tracking experiment setups, i.e., constant and time-varying ones. Then, the validation experiment demonstrated significant improvements regarding the force tracking tasks compared to conventional control methods, and the system passivity was preserved during the task execution. Finally, the usability experiment shows that the human operator workload is significantly reduced by$54.6 \%$compared to the other two control modalities. The proposed framework holds significant potential for the execution of remote robot-assisted medical procedures, such as palpation and ultrasound scanning, particularly in addressing deformation challenges while ensuring safety, compliance, and system passivity. Junling Fu, Giorgia Maimone, Elisa Iovene, Jianzhuang Zhao, Alberto Redaelli, Giancarlo Ferrigno, Elena De Momi |
IEEE Trans. Robotics | 2 |