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Open AccessJournal ArticleDOI

An exact algorithm for kinodynamic planning in the plane

TLDR
A tracking lemma and a loop-elimination theorem are proved, both of which are applicable to the case of arbitrary norms, and a path which intersects itself can be replaced by one which does not do so and which takes time less than or equal to that taken by the original path.
Abstract
Planning time-optimal motions has been a major focus of research in robotics. In this paper we consider the following problem: given an object in two-dimensional physical space, an initial point, and a final point, plan a time-optimal obstacle-avoiding motion for this object subject to bounds on the velocity and acceleration of the object. We give the first algorithm which solves the problem exactly in the case where the velocity and acceleration bounds are given in theL? norm. We further prove the following important results: a tracking lemma and a loop-elimination theorem, both of which are applicable to the case of arbitrary norms. The latter result implies that, with or without obstacles, a path which intersects itself can be replaced by one which does not do so and which takes time less than or equal to that taken by the original path.

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Citations
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Journal ArticleDOI

Randomized kinodynamic planning

TL;DR: In this paper, the authors presented the first randomized approach to kinodynamic planning (also known as trajectory planning or trajectory design), where the task is to determine control inputs to drive a robot from an unknown position to an unknown target.
Proceedings ArticleDOI

Randomized kinodynamic planning

TL;DR: A state-space perspective on the kinodynamic planning problem is presented, and a randomized path planning technique that computes collision-free kinodynamic trajectories for high degree-of-freedom problems is introduced.
Journal IssueDOI

Differentially constrained mobile robot motion planning in state lattices

TL;DR: Experimental results with research prototype rovers demonstrate that the planner allows the entire envelope of vehicle maneuverability in rough terrain, while featuring real-time performance.
References
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Journal ArticleDOI

Minimum-time control of robotic manipulators with geometric path constraints

TL;DR: In this paper, the problem of moving a manipulator in minimum time along a specified geometric path subject to input torque/force constraints is considered, and the minimum-time solution is deduced in an algorithm form using phase-plane techniques.
Journal ArticleDOI

On the computational complexity and geometry of the first-order theory of the reals. Par I: Introduction. Preliminaries. The geometry of semi-algebraic sets. The decision problem for the existential theory of the reals

TL;DR: This series of papers presents a complete development and complexity analysis of a decision method, and a quantifier elimination method, for the first order theory of the reals.
Proceedings ArticleDOI

New lower bound techniques for robot motion planning problems

John Canny, +1 more
TL;DR: The problem of finding a sequence of commanded velocities which is guaranteed to move the point to the goal is shown to be non-deterministic exponential time hard, making it the first provably intractable problem in robotics.

On the Computational Complexity and Geometry of the First-Order Theory of the Reals, Part I

TL;DR: The objective of this study was to demonstrate the ability of the H2O2 “spatially aggregates” to be modelled on the surface of the EMT molecule and show the property of both EMT and “navel-gauging”.
Proceedings ArticleDOI

Continuous-curvature paths for autonomous vehicles

TL;DR: The use of polar polynomials in place of circular arcs for the reference-path generator on an experimental AGV has improved its tracking accuracy during the following turns, particularly at higher speeds.
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