Demo Data from SIGIR 2026 / reviewers in the wild / expert
Derek Pyne
dblp:163/9058
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—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 · 25% Video understanding and tracking · 25% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Video understanding and tracking › object tracking
3d object tracking |
0.2 | 1 | 2015 | Automated robotic vitrification of embryos · ICRA 2015 |
Robotics › Robot manipulation › tactile sensing › contact sensing
contact detection |
0.2 | 1 | 2015 | Automated robotic vitrification of embryos · ICRA 2015 |
Robotics › Robot manipulation › grasping
pick-and-place |
0.2 | 1 | 2015 | Automated robotic vitrification of embryos · ICRA 2015 |
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing |
0.2 | 1 | 2015 | Automated robotic vitrification of embryos · ICRA 2015 |
Medical and health informatics
in vitro fertilization |
0.2 | 1 | 2015 | Automated robotic vitrification of embryos · ICRA 2015 |
Methods — techniques the papers use, named apart from their topics
contact detection · 0.43d tracking · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Automated robotic vitrification of embryosabstractThis paper reports the first robotic system for vitrification of mammalian embryos. Vitrification is a technique for preserving oocytes and embryos in clinical IVF (in vitro fertilization). The procedure involves multiple steps of stringently timed pick-and-place operation for processing an oocyte/embryo in vitrification media. In IVF clinics, vitrification is conducted manually by highly skilled embryologists. Processing one oocyte/embryo occupies the embryologist 15–20 minutes, depending on protocols chosen to implement. Due to poor reproducibility and inconsistency across operators, success rates and survival rates also vary significantly. Through collaboration with IVF clinics, we are in process to realize robotic vitrification and aim ultimately to standardize clinical vitrification from manual operation to fully automated robotic operation. Our robotic system is embedded with two contact detection methods to determine the relative Z positions of the vitrification micropipette, embryo, and vitrification straw. A 3D tracking algorithm is developed for visually servoed embryo transfer and real-time monitoring of embryo volume changes during vitrification. Excess medium is automatically removed from around the vitrified embryo on the vitrification straw to achieve a high cooling rate. Tests on mouse embryos demonstrate that the system is capable of performing vitrification with a throughput at least three times that of manual operation and achieved a high survival rate (88.9%) and development rate (93.8%). Jun Liu 0007, Chaoyang Shi, Derek Pyne, Haijiao Liu, Changhai Ru, Yu Sun 0001 |
ICRA | 4 |