Trajectory elongation strategies with minimum curvature discontinuities for a Dubins vehicle
Aditya K. Rao, Twinkle Tripathy

TL;DR
This paper introduces new curvature-bounded trajectory strategies for Dubins vehicles, optimizing path length and minimizing curvature discontinuities by concatenating circular arcs and expanding the set of feasible paths.
Contribution
It proposes novel elongation strategies and classifies eight types of circle-circle-circle trajectories, enhancing the set of reachable paths for Dubins vehicles.
Findings
Maximized coverage of reachable path lengths.
Reduced number of curvature changeover points to two.
Expanded trajectory types to eight categories.
Abstract
In this paper, we present strategies for designing curvature-bounded trajectories of any desired length between any two given oriented points. The proposed trajectory is constructed by the concatenation of three circular arcs of varying radii. Such a trajectory guarantees a complete coverage of the maximum set of reachable lengths while minimising the number of changeover points in the trajectory to a maximum of two under all scenarios. Additionally, by using the notion of internally tangent circles, we expand the set of Circle-Circle-Circle trajectories to eight kinds, consisting of {LLL, LLR, LRR, LRL, RRL, RLL, RLR, RRR} paths. The paper presents a mathematical formulation of the proposed trajectory and the conditions for the existence and classification of each kind of trajectory. We also analyse the variation of the length of the trajectory using suitable elongation strategies and…
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
TopicsControl and Dynamics of Mobile Robots
MethodsSparse Evolutionary Training
