Demo Data from EDBT 2026 / reviewers in the wild / expert
Nicholas Greene
dblp:275/6753
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none
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 2021Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 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 |
Motion planning and robot control · 87% Robot manipulation · 13% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › motion planning
interactive motion planning |
0.9 | 1 | 2025 | Interactive Motion Planning for a 7-DOF Robot · ICRA 2025 |
Robotics › Motion planning and robot control
motion planning |
0.9 | 1 | 2025 | Interactive Motion Planning for a 7-DOF Robot · ICRA 2025 |
Human-robot interaction
teleoperation |
0.9 | 1 | 2025 | Interactive Motion Planning for a 7-DOF Robot · ICRA 2025 |
Robotics › Robot manipulation
redundant manipulator |
0.3 | 1 | 2025 | Interactive Motion Planning for a 7-DOF Robot · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
user study · 1.7SEW angle encoding · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Interactive Motion Planning for a 7-DOF RobotabstractThe use of robots in high-risk and extreme environments is crucial for tasks that are dangerous or inaccessible to humans and require high precision. Particularly in scenarios where the cost of failure is high, remote human teleoperation can be the preferred method of robot control due to the adaptability and high-level decision making of humans. Teleoperation brings many challenges including lack of accurate prior knowledge about the environment, limited views of the environment by on-board sensors, and especially inconsistent latency. 7-DOF (degrees of freedom) manipulators provide redundancy which can be utilized for increased flexibility in manipulation, and may be preferred to 6-DOF manipulators in many scenarios. The redundancy, however, must be considered by the teleoperation system. We present an extension to an existing Interactive Planning and Supervised Execution (IPSE) system that enables full teleoperation of a 7-DOF robot by encoding the redundant degree of freedom with a Shoulder-Elbow-Wrist (SEW) angle, which is user-manipulable via an SEW angle graph. Additionally, we introduce a novel user interface feature that encodes robot state information into a 2D image which is displayed directly on the SEW angle graph. We conduct a user-study which demonstrates that the addition of this SEW graph significantly reduces task completion time. Nicholas Greene, Will Pryor, Liam J. Wang, Peter Kazanzides |
ICRA | 1 |
| 2020 | An Interactive Mixed Reality Platform for Bedside Surgical Procedures
Ehsan Azimi, Zhiyuan Niu, Maia Stiber, Nicholas Greene, Ruby Liu, Camilo A. Molina, Judy Huang, Chien-Ming Huang 0001, Peter Kazanzides |
MICCAI (3) | 4 |