A Workspace based Classification of 3R Orthogonal Manipulators
Philippe Wenger (IRCCyN), Maher Baili (IRCCyN), Damien Chablat, (IRCCyN)

TL;DR
This paper introduces a new classification system for 3R orthogonal manipulators based on workspace topology, specifically analyzing singular curves and their cusps and nodes, to better understand their configuration space.
Contribution
It provides a novel classification framework based on workspace topology, with explicit expressions for separating surfaces in the design parameter space.
Findings
Nine distinct workspace topologies identified
Explicit formulas for separating surfaces in DH-parameters
Partitioning of design space into subspaces based on topology
Abstract
A classification of a family of 3-revolute (3R) positioning manipulators is established. This classification is based on the topology of their workspace. The workspace is characterized in a half-cross section by the singular curves of the manipulator. The workspace topology is defined by the number of cusps and nodes that appear on these singular curves. The design parameters space is shown to be partitioned into nine subspaces of distinct workspace topologies. Each separating surface is given as an explicit expression in the DH-parameters.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotic Mechanisms and Dynamics · Advanced Numerical Analysis Techniques · Manufacturing Process and Optimization
