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Kent K. Yamamoto

dblp:289/7578 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0002-9296-8056ORCID · 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 · 67% Robot manipulation · 33%
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 › Motion planning and robot control › robot control › flexible robot control
continuum robot control
0.512021
Modeling and Control of a 2-DoF Meso-Scale Continuum Robotic Tool for Pediatric Neurosurgery · IEEE Trans. Robotics 2021
Robotics › Robot manipulation › continuum robot
continuum robot modeling
0.512021
Modeling and Control of a 2-DoF Meso-Scale Continuum Robotic Tool for Pediatric Neurosurgery · IEEE Trans. Robotics 2021
Robotics › Motion planning and robot control › robot control
force control
0.512021
Modeling and Control of a 2-DoF Meso-Scale Continuum Robotic Tool for Pediatric Neurosurgery · IEEE Trans. Robotics 2021
Medical and health informatics
surgical robotics
0.112021
Modeling and Control of a 2-DoF Meso-Scale Continuum Robotic Tool for Pediatric Neurosurgery · IEEE Trans. Robotics 2021

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

hysteresis modeling · 1.0finite element analysis · 1.0disturbance observer · 1.0
YearPublicationVenuePosition
2021 Modeling and Control of a 2-DoF Meso-Scale Continuum Robotic Tool for Pediatric Neurosurgery
abstract
This article introduces the analysis and control of a meso-scale two degree-of-freedom robotic endoscopic tool body for minimally invasive surgeries. The design of the robotic tool uses two types of a tendon-driven joint known as a bending flexure joint that allows us to control each degree-of-freedom by minimizing interjoint coupling by design. Pure kinematic modeling and control for these robots may not provide precise control performance due to kinematic uncertainties arising from tendon elongation, tendon slacking, gear backlash, etc. We propose a static model for each of the joints of the robotic tool that avoids several of these problems. Depending on the direction of tendon tension application, the proximal joint displays considerable hysteresis due to the superelastic material characteristics and this is included in our static model. The statics of a highly compliant distal joint is also modeled and validated using finite element analysis and experimental data. Using these models, we develop a control system that comprises of a disturbance observer and the proposed static model to provide precise force control and compensate for joint hysteresis.
Yash Chitalia, Seokhwan Jeong, Kent K. Yamamoto, Joshua J. Chern, Jaydev P. Desai
IEEE Trans. Robotics3