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Pepijn van Esch

dblp:383/4409 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › haptic interface
haptic controller
0.812024
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
0.812024
Preliminary Study of Fingertip and Wrist Motion Based Haptic Controller for Robotically Assisted Micro- and Supermicrosurgery · ICRA 2024
Health and well-being technologies
microsurgery
0.212024
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
YearPublicationVenuePosition
2024 Preliminary Study of Fingertip and Wrist Motion Based Haptic Controller for Robotically Assisted Micro- and Supermicrosurgery
abstract
One 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
ICRA2