Demo Data from SIGIR 2026 / reviewers in the wild / expert
Daniel Edgar
dblp:203/4602
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3Systems, architecture and hardware · 2Human-computer interaction and ubiquitous computing · 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 |
Robot manipulation · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Personal fabrication and tangible interfaces · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Personal fabrication and tangible interfaces
sensor fabrication |
0.1 | 1 | 2017 | PaintPots: Low cost, accurate, highly customizable potentiometers for position sensing · ICRA 2017 |
Methods — techniques the papers use, named apart from their topics
manufacturing process · 0.6calibration process · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Spiral Zipper Manipulator for Aerial Grasping and ManipulationabstractThis paper presents a novel manipulator for aerial vehicles to perform grasping and manipulation tasks. The goal is to design a low-cost, relatively light but strong manipulator with a large workspace and compact storage space that can be mounted on an unmanned aerial system. A novel design solution based on the Spiral Zipper, an expanding tube, combined with tether actuators is presented. A model of the system is introduced and the control method and pose estimator are developed and tested with some experiments showing the reliable performance of the overall system. An experiment with a self-sealing suction cup gripper demonstrates manipulation while mounted on the aerial vehicle frame. Chao Liu 0021, Abhraneel Bera, Thulani Tsabedze, Daniel Edgar, Mark Yim |
IROS | 4 |
| 2018 | Development and Deployment of a Mobile Manipulator for Assisting and Entertaining Elders Living in Supportive Apartment Living facilitiesabstractIn this paper a novel telescopic manipulator was adapted to a mobile robotic base to perform manipulation tasks in an elder care facility. As indicated by our previous work, leisure activities and engagement in socialization were desirable among elders, and a physical game assisted by the robot was chosen to investigate both its acceptance and interaction with the older adults. The robot was deployed at an assisted living center and performed multiple interactions. The manipulator was able to successfully retrieve items from different heights as part of the game and results from post-interaction surveys with elders indicated high perceived usefulness and comfort in having the robot as an assistant in the game. Caio Mucchiani, Wilson Torres, Daniel Edgar, Michelle J. Johnson, Pamela Z. Cacchione, Mark Yim |
RO-MAN | 3 |
| 2017 | PaintPots: Low cost, accurate, highly customizable potentiometers for position sensingabstractThe PaintPot manufacturing process is a new way to create low-cost, low-profile, highly customizable potentiometers for position sensing in robotic applications. It uses widely accessible materials, requires no special expertise, and creates custom potentiometers in a variety of shapes and sizes, including curved surfaces. PaintPots offer accuracy and precision performance comparable with commercial (non-customizable) options through a calibration process that trades small computation for cost. This paper includes detailed PaintPot manufacturing and calibration processes, and experiments that validate the accuracy, precision, and lifetime performance of PaintPots, comparable to commercial sensors. We also provide a case-study application in the SMORES-EP modular robot, and show how the PaintPot process can be used to create resistive surfaces capable of sensing position in 2D on planes and spheres. Tarik Tosun, Daniel Edgar, Chao Liu 0021, Thulani Tsabedze, Mark Yim |
ICRA | 2 |