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Mark Reichert

dblp:36/4198 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › motion planning
configuration space
0.011990
Real-time robot motion planning using rasterizing computer graphics hardware · SIGGRAPH 1990
Robotics › Motion planning and robot control
motion planning
0.011990
Real-time robot motion planning using rasterizing computer graphics hardware · SIGGRAPH 1990
Rendering › rasterization
hardware rasterization
0.011990
Real-time robot motion planning using rasterizing computer graphics hardware · SIGGRAPH 1990
Rendering
rasterization
0.011990
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
YearPublicationVenuePosition
1990 Real-time robot motion planning using rasterizing computer graphics hardware
abstract
We 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
SIGGRAPH2