2012 IEEE 51st IEEE Conference on Decision and Control (CDC) 2012
DOI: 10.1109/cdc.2012.6426697
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Constrained motion planning for multiple vehicles on SE(3)

Abstract: Abstract-This paper proposes a computational method to solve constrained cooperative motion planning problems for multiple vehicles undergoing translational and rotational motions. The problem is solved by means of the Lie group projection operator approach, a recently developed optimization strategy for solving continuous-time optimal control problems on Lie groups. State constraints (for collision avoidance) are handled by means of a set of barrier functions, turning the optimization approach into an interio… Show more

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Cited by 14 publications
(16 citation statements)
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“…that behaves as the standard barrier functionβ δ for small and negative z, but goes to zero for z → ∞ (Saccon et al, 2012).…”
Section: The Projection Operator Approach and Barrier Functionalmentioning
confidence: 94%
“…that behaves as the standard barrier functionβ δ for small and negative z, but goes to zero for z → ∞ (Saccon et al, 2012).…”
Section: The Projection Operator Approach and Barrier Functionalmentioning
confidence: 94%
“…Modifications of the strategy for handling a terminal condition and mixed input-state constraints (through a barrier function approach) are discussed, for control problems on R n , in Hauser (2003) and Hauser and Saccon (2006). A constrained optimal control problem on Lie groups is discussed in Saccon et al (2012).…”
Section: The Methods In a Nutshellmentioning
confidence: 99%
“…Let U be in the domain of the generator Q α given by 7, of our evolution (6). For a formal definition of this domain we refer to [77,Eq.…”
Section: A Preview On the Spectral Decomposition Of The Pde Evolutionmentioning
confidence: 99%
“…Indeed separation of variables (also known as 'the Fourier method') directly provides a Sturm-Liouville problem [1] and an orthonormal basis of eigenfunctions for L 2 (Ω), which is complete due to compactness of the associated self-adjoint kernel operator. When dilating the subset Ω to the full space R d , the discrete set of eigenvalues start to fill R Nowadays, in fields such as mechanics/robotics [4][5][6][7], mathematical physics/harmonic analysis [8], machine learning [9][10][11][12][13] and image analysis [14][15][16][17][18][19] it is worthwhile to extend the spatial domain of functions on M = R d (or M = Z d ) to groups G = M T that are the semi-direct product of an Abelian group M and another matrix group T. This requires a generalization of the Fourier transforms on the Lie group (R d , +) towards the groups G = R d T. Then the Fourier transform gives rise to an invertible decomposition of a square integrable function into irreducible representations. This is a powerful mechanism in view of the Schur's lemma [20,21] and spectral decompositions [22,23].…”
Section: Introductionmentioning
confidence: 99%