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W. Hoitzing

dblp:246/7864 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—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 · 50% Motion planning and robot control · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
soft robotics
0.412019
Development of a Multi-level Stiffness Soft Robotic Module with Force Haptic Feedback for Endoscopic Applications · ICRA 2019
Robotics › Motion planning and robot control › robot control › impedance control
stiffness control
0.412019
Development of a Multi-level Stiffness Soft Robotic Module with Force Haptic Feedback for Endoscopic Applications · ICRA 2019
Medical and health informatics › surgical robotics
endoscopic surgery
0.112019
Development of a Multi-level Stiffness Soft Robotic Module with Force Haptic Feedback for Endoscopic Applications · ICRA 2019
Medical and health informatics › surgical robotics
robot-assisted surgery
0.112019
Development of a Multi-level Stiffness Soft Robotic Module with Force Haptic Feedback for Endoscopic Applications · ICRA 2019

Methods — techniques the papers use, named apart from their topics

haptic feedback control · 0.8finite element analysis · 0.8
YearPublicationVenuePosition
2019 Development of a Multi-level Stiffness Soft Robotic Module with Force Haptic Feedback for Endoscopic Applications
abstract
Despite the recent advances in soft endoscopes, they could not yet fully fulfill the requirements for minimally invasive and natural orifice transluminal endoscopic surgeries. Maneuverability, bendability, different structural stiffness required for different endoscopic surgical interventions, the space needed for surgical manipulators and patient’s safety are amongst the main factors which can contribute to implementing the new soft robotics endoscope in practice. In this study, based on finite element analysis on an existing endoscopic segment, a new improved endoscopic module was developed. A novel approach for stiffening of the endoscopic module was proposed. The actuation and stiffening components were combined to introduce a multi-level stiffening mechanism to the endoscope, and also to provide a free lumen for manipulators. To increase patient’s safety, a force sensing module was developed to estimate the magnitude and direction of the force from tissues to the endoscope. The developed endoscopic system was integrated to a haptic control system. The 3D kinematics control and haptic feedback control of the endoscopic module were validated.
Hamid Naghibi, Muhammad Wildan Gifari, W. Hoitzing, J. W. Lageveen, D. M. M. van As, Stefano Stramigioli, Momen Abayazid
ICRA3