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Daniel Bautista-Salinas

dblp:211/7401 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0001-5318-952XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 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
Robot manipulation · 91% Motion planning and robot control · 9%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics › surgical robotics
cochlear implant insertion
0.712023
Semi-autonomous robotic control of a self-shaping cochlear implant · ICRA 2023
Robotics › Robot manipulation
semi-autonomous control
0.712023
Semi-autonomous robotic control of a self-shaping cochlear implant · ICRA 2023
Robotics › Robot manipulation › medical robotics
surgical robotics
0.712023
Semi-autonomous robotic control of a self-shaping cochlear implant · ICRA 2023
Robotics › Motion planning and robot control › robot control › sensor-based control
vision-based control
0.212023
Semi-autonomous robotic control of a self-shaping cochlear implant · ICRA 2023

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

vision-based control · 0.7teleoperation · 0.7
YearPublicationVenuePosition
2023 Semi-autonomous robotic control of a self-shaping cochlear implant
abstract
Cochlear implants (CIs) can improve hearing in patients suffering from sensorineural hearing loss via an electrode array (EA) carefully inserted in the scala tympani. Current EAs can cause trauma during insertion, threatening hearing preservation; hence we proposed a pre-curved thermally drawn EA that curls into the cochlea under the influence of body temperature. However, the additional surgical skill required to insert pre-curved EAs usually produces worse surgical outcomes. Medical robots can offer an effective solution to assist surgeons in improving surgical outcomes and reducing outliers. This work proposes a collaborative approach to insert our EA where manageable tasks are automated using a vision-based system. The insertion strategy presented allowed us to insert our EA successfully. The feasibility study showed that we can insert EAs following the defined control strategy while keeping the exerted contact forces within safe levels. The teleoperated robotic system and robotic vision approach to control a self-shaping CI has thus shown potential to provide the tools for a more delicate and atraumatic approach.
Daniel Bautista-Salinas, Conor Kirby, Mohamed E. M. K. Abdelaziz, Burak Temelkuran, Charlie T. Huins, Ferdinando Rodriguez y Baena
ICRA1