Demo Data from SIGIR 2026 / reviewers in the wild / expert
Barry Munkundakrisnam
dblp:57/5502
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—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 |
Motion planning and robot control · 61% Robot manipulation · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
micromanipulation |
0.1 | 1 | 2006 | Designing Open-loop Plans for Planar Micro-manipulation · ICRA 2006 |
Robotics › Motion planning and robot control
motion planning |
0.1 | 1 | 2006 | Designing Open-loop Plans for Planar Micro-manipulation · ICRA 2006 |
Robotics › Motion planning and robot control › motion planning
sampling-based motion planning |
0.1 | 1 | 2006 | Designing Open-loop Plans for Planar Micro-manipulation · ICRA 2006 |
Robotics › Robot manipulation › manipulation control
quasi-static manipulation |
0.0 | 1 | 2006 | Designing Open-loop Plans for Planar Micro-manipulation · ICRA 2006 |
Methods — techniques the papers use, named apart from their topics
randomized motion planning · 0.1mason's models · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Designing Open-loop Plans for Planar Micro-manipulationabstractThis paper describes a test-bed for planar micro manipulation tasks and a framework for planning based on quasi-static models of mechanical systems with frictional contacts. We show how planar peg-in-the-hole assembly tasks can be designed using randomized motion planning techniques with Mason's models for quasi-static manipulation. Finally, we present simulation and experimental results in support of our methodology David J. Cappelleri, Jonathan Fink, Barry Munkundakrisnam, Vijay Kumar 0001, Jeffrey C. Trinkle |
ICRA | 3 |