Demo Data from EDBT 2026 / reviewers in the wild / expert
Pepijn van Esch
dblp:383/4409
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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.
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 44% Haptics and multimodal interaction · 44% Health and well-being technologies · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction › haptic interface
haptic controller |
0.8 | 1 | 2024 | Preliminary Study of Fingertip and Wrist Motion Based Haptic Controller for Robotically Assisted Micro- and Supermicrosurgery · ICRA 2024 |
Human-robot interaction › teleoperation
surgical robot teleoperation |
0.8 | 1 | 2024 | Preliminary Study of Fingertip and Wrist Motion Based Haptic Controller for Robotically Assisted Micro- and Supermicrosurgery · ICRA 2024 |
Health and well-being technologies
microsurgery |
0.2 | 1 | 2024 | Preliminary Study of Fingertip and Wrist Motion Based Haptic Controller for Robotically Assisted Micro- and Supermicrosurgery · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
force feedback · 0.8degree-of-freedom allocation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Preliminary Study of Fingertip and Wrist Motion Based Haptic Controller for Robotically Assisted Micro- and SupermicrosurgeryabstractOne issue of robotic microsurgery is that compared to manual surgery, the operation time tends to be longer due to high motion scaling. To address this issue, we developed a new controller that can provide the accuracy required for microsurgery without a high scaling factor by utilizing fingertip and wrist motions. Also, for the better outcome of surgery, the proposed controller has a force feedback function which is not available for the existing controllers for microsurgical robots. A challenge of designing such a controller is associated with the size requirement. For conventional microsurgery, surgeons perform surgical procedures while looking at the eyepieces of a surgical microscope and the same applies for robotic microsurgery. The only space available to manipulate controllers is a narrow space between the patient/surgical bed and the surgeon. To satisfy this constraint, the proposed controller is integrated with a handrest and the controller’s DOFs are strategically allocated. In this work, as the first step of addressing the issue of prolonged operational time, we built a prototype controller and evaluated the accuracy and task space with simulations. The results indicated that by using the fingertip and wrist motions with a scaling factor of 3x, 0.5 mm diameter circles could be traced with a mean bidirectional precision of 0.0485 mm. Also, 10.0 mm diameter circles were traceable with the same scaling factor. Muneaki Miyasaka, Pepijn van Esch, Atsushi Morikawa, Kotaro Tadano |
ICRA | 2 |