Demo Data from EDBT 2026 / reviewers in the wild / expert
Mark Reichert
dblp:36/4198
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1990
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous 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 · 100% | |
| Computer graphics and multimedia
1 paper |
Rendering · 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
configuration space |
0.0 | 1 | 1990 | Real-time robot motion planning using rasterizing computer graphics hardware · SIGGRAPH 1990 |
Robotics › Motion planning and robot control
motion planning |
0.0 | 1 | 1990 | Real-time robot motion planning using rasterizing computer graphics hardware · SIGGRAPH 1990 |
Rendering › rasterization
hardware rasterization |
0.0 | 1 | 1990 | Real-time robot motion planning using rasterizing computer graphics hardware · SIGGRAPH 1990 |
Rendering
rasterization |
0.0 | 1 | 1990 | Real-time robot motion planning using rasterizing computer graphics hardware · SIGGRAPH 1990 |
Methods — techniques the papers use, named apart from their topics
dynamic programming · 0.0navigation functions · 0.0navigation function · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Real-time robot motion planning using rasterizing computer graphics hardwareabstractWe present a real-time robot motion planner that is fast and complete to a resolution. The technique is guaranteed to find a path if one exists at the resolution, and all paths returned are safe. The planner can handle any polyhedral geometry of robot and obstacles, including disjoint and highly concave unions of polyhedra.The planner uses standard graphics hardware to rasterize configuration space obstacles into a series of bitmap slices, and then uses dynamic programming to create a navigation function (a discrete vector-valued function) and to calculate paths in this rasterized space. The motion paths which the planner produces are minimal with respect to an L1 (Manhattan) distance metric that includes rotation as well as translation.Several examples are shown illustrating the competence of the planner at generating planar rotational and translational plans for complex two and three dimensional robots. Dynamic motion sequences, including complicated and non-obvious backtracking solutions, can be executed in real time. Jed Lengyel, Mark Reichert, Bruce Randall Donald, Donald P. Greenberg |
SIGGRAPH | 2 |