Boolean Subtraction for Proximity Queries With Applications to Path Planning Tasks With Collisions

Path planners are widely used in many different fields to determine a sequence of valid configurations for an object, such as a robot arm, between a start configuration and a goal configuration, where a valid configuration must be a collision-free one. However, sometimes configurations that are in collision should be valid. For example, during spot welding, the two electrodes of a spot welding gun fuse metal sheets together by applying an electrical current to melt the metal at the point of contact and penetrate into the metal sheets. Even though the distance between the electrodes and the metal sheets is zero, the corresponding configuration of the spot welding gun should still be considered to be valid by the path planner. Another example might be: during grasp planning, a hand should be allowed to touch a table top while picking up an item on the table. To ensure non-zero distances at contact points, we propose in this paper a novel method to efficiently compute the distances between a given geometry represented by points, line segments, or triangles and the geometry remaining after Boolean subtracting multiple convex bodies placed at the contact points from another geometry. By performing the subtraction operations during the query phase, the remaining geometry after subtraction is never explicitly constructed, creating a more flexible simulation environment that is easier to maintain and update during the development process.

Authors

Institutions

Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-02-20
DOI
https://doi.org/10.1109/lra.2025.3544075
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Boolean Subtraction for Proximity Queries With Applications to Path Planning Tasks With Collisions

Johan S. Carlson, Evan Shellshear, Staffan Björkenstam, Robert Bohlin et al.
IEEE Robotics and Automation Letters
Robotic Path Planning Algorithms
article

Boolean Subtraction for Proximity Queries With Applications to Path Planning Tasks With Collisions

Johan S. Carlson, Evan Shellshear, Staffan Björkenstam, Robert Bohlin, Yi Li
article en

Abstract

Path planners are widely used in many different fields to determine a sequence of valid configurations for an object, such as a robot arm, between a start configuration and a goal configuration, where a valid configuration must be a collision-free one. However, sometimes configurations that are in collision should be valid. For example, during spot welding, the two electrodes of a spot welding gun fuse metal sheets together by applying an electrical current to melt the metal at the point of contact and penetrate into the metal sheets. Even though the distance between the electrodes and the metal sheets is zero, the corresponding configuration of the spot welding gun should still be considered to be valid by the path planner. Another example might be: during grasp planning, a hand should be allowed to touch a table top while picking up an item on the table. To ensure non-zero distances at contact points, we propose in this paper a novel method to efficiently compute the distances between a given geometry represented by points, line segments, or triangles and the geometry remaining after Boolean subtracting multiple convex bodies placed at the contact points from another geometry. By performing the subtraction operations during the query phase, the remaining geometry after subtraction is never explicitly constructed, creating a more flexible simulation environment that is easier to maintain and update during the development process.

IEEE Robotics and Automation LettersVol. 10(4)
Fraunhofer Chalmers Research Centre for Industrial Mathematics (SE)
Openalex Percentile: Top 98%
Robotic Path Planning Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.