Demo Data from SIGIR 2026 / reviewers in the wild / expert
Luke Kulm
dblp:375/3176
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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.
| Artificial intelligence
1 paper |
Robot manipulation · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
human-in-the-loop planning |
0.8 | 1 | 2024 | MORPHeus: a Multimodal One-armed Robot-assisted Peeling System with Human Users In-the-loop · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
multimodal perception · 1.5long-horizon planning · 1.5compliant control · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | MORPHeus: a Multimodal One-armed Robot-assisted Peeling System with Human Users In-the-loopabstractMeal preparation is an important instrumental activity of daily living (IADL). While existing research has explored robotic assistance in meal preparation tasks such as cutting and cooking, the crucial task of peeling has received less attention. Robot-assisted peeling, conventionally a bimanual task, is challenging to deploy in the homes of care recipients using two wheelchair-mounted robot arms due to ergonomic and transferring challenges. This paper introduces a robot-assisted peeling system utilizing a single robotic arm and an assistive cutting board, inspired by the way individuals with one functional hand prepare meals. Our system incorporates a multimodal active perception module to determine whether an area on the food is peeled, a human-in-the-loop long-horizon planner to perform task planning while catering to a user’s preference for peeling coverage, and a compliant controller to peel the food items. We demonstrate the system on 12 food items representing the extremes of different shapes, sizes, skin thickness, surface textures, skin vs flesh colors, and deformability. Check out the Morpheus project at https://emprise.cs.cornell.edu/morpheus/. Ruolin Ye, Yifei Hu, Yuhan Bian, Luke Kulm, Tapomayukh Bhattacharjee |
ICRA | 4 |