Amir Hossein Hadi Hosseinabadi

dblp:246/7772 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-8932-9819ORCID · corroborated

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorHuman-computer interaction and ubiquitous 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › surgical robotics
force sensing
0.412019
Optical Force Sensing In Minimally Invasive Robotic Surgery · ICRA 2019
Medical and health informatics
surgical robotics
0.412019
Optical Force Sensing In Minimally Invasive Robotic Surgery · ICRA 2019
Robotics › Robot manipulation › medical robotics › surgical robotics
minimally invasive surgery
0.112019
Optical Force Sensing In Minimally Invasive Robotic Surgery · ICRA 2019

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

optical slit sensing · 0.8flexible beam model · 0.8
YearPublicationVenuePosition
2024 Human teleoperation - a haptically enabled mixed reality system for teleultrasound
abstract
Current teleultrasound methods include audiovisual guidance and robotic teleoperation, which constitute tradeoffs between precision and latency versus flexibility and cost. We present a novel concept of “human teleoperation” which bridges the gap between these two methods. In the concept, an expert remotely teloperates a person (the follower) wearing a mixed-reality headset by controlling a virtual ultrasound probe projected into the person’s scene. The follower matches the pose and force of the virtual device with a real probe. The pose, force, video, ultrasound images, and 3-dimensional mesh of the scene are fed back to the expert. This control framework, where the actuation is carried out by people, allows more precision and speed than verbal guidance, yet is more flexible and inexpensive than robotic teleoperation. The purpose of this paper is to introduce this concept as well as a prototype teleultrasound system with limited haptics and local communication. The system was tested to show its potential, including mean teleoperation latencies of 0.32 ± 0.05 seconds and steady-state errors of 4.4 ± 2.8 mm and 5.4 ± 2.8 ∘ in position and orientation tracking respectively. A preliminary test with an ultrasonographer and four patients was completed, showing lower measurement error and a completion time of 1:36 ± 0:23 minutes using human teleoperation compared to 4:13 ± 3:58 using audiovisual teleguidance.
David G. Black, Yas Oloumi Yazdi, Amir Hossein Hadi Hosseinabadi, Tim Salcudean
Hum. Comput. Interact.3
2019 Optical Force Sensing In Minimally Invasive Robotic Surgery
abstract
This paper evaluates the feasibility of a novel optical sensing concept to measure forces applied at the tip of daVinci EndoWrist instruments. An optical slit is clamped onto the instrument shaft, in-line with an infrared LED-bicell pair. Deflection of the shaft moves the slit with respect to the LED-bicell pair and modulates the light incident on each active element of the bicell. The differential photocurrent is conditioned and monitored to estimate the tip forces. The feasibility evaluation consists of a flexible beam model to quantify the required sensor performance, experimental results with a 3D printed prototype and estimation of the sensor limitations including the measurement bandwidth due to the structural dynamics. The proposed approach requires no modifications to the instrument, is adaptable to different instruments and robot platforms, and leads to high-resolution, high-dynamic range sensing without hysteresis.
Amir Hossein Hadi Hosseinabadi, Mohammad Honarvar, Tim Salcudean
ICRA1