Demo Data from VLDB 2026 / reviewers in the wild / expert
V. Lumelsky
dblp:185/2198
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1987
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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 · 77% Robot manipulation · 23% |
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 |
0.0 | 1 | 1987 | Gross motion planning for a simple 3D articulated robot arm moving amidst unknown arbitrarily shaped obstacles · ICRA 1987 |
Robotics › Motion planning and robot control › motion planning
sensor-based motion planning |
0.0 | 1 | 1987 | Gross motion planning for a simple 3D articulated robot arm moving amidst unknown arbitrarily shaped obstacles · ICRA 1987 |
Robotics › Robot manipulation › robot manipulator
articulated robot |
0.0 | 1 | 1987 | Gross motion planning for a simple 3D articulated robot arm moving amidst unknown arbitrarily shaped obstacles · ICRA 1987 |
Robotics › Robot manipulation › robot manipulator
robot arm |
0.0 | 1 | 1987 | Gross motion planning for a simple 3D articulated robot arm moving amidst unknown arbitrarily shaped obstacles · ICRA 1987 |
Methods — techniques the papers use, named apart from their topics
closed curve analysis on 2d manifolds · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | Gross motion planning for a simple 3D articulated robot arm moving amidst unknown arbitrarily shaped obstaclesabstractThis work continues the approach to sensor-based robot motion planning in an unknown environment first studied in [2,3] and further developed for various configurations of planar robot arms in [4,10]. The main idea of the approach is to reduce the problem to the analysis of simple closed curves on an appropriate two-dimensional (2d) manifold. We extend the same ideas to simple 3d arms with two revolute joints whose endpoints travel along 2d manifolds whereas their bodies operate in a "normal" 3d space. For such an arm, a path planning algorithm is described, its convergence is shown, and an example of the algorithm performance is given. V. Lumelsky, K. Sun |
ICRA | 1 |