2009
DOI: 10.1109/tro.2008.2008738
|View full text |Cite
|
Sign up to set email alerts
|

Flow-Through Policies for Hybrid Controller Synthesis Applied to Fully Actuated Systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
35
0

Year Published

2011
2011
2022
2022

Publication Types

Select...
4
2
2

Relationship

0
8

Authors

Journals

citations
Cited by 36 publications
(37 citation statements)
references
References 23 publications
2
35
0
Order By: Relevance
“…5 The result is stated and proven in a way that aligns with the broader developments of this section.…”
Section: A Process Instance Executing Stagesupporting
confidence: 64%
See 2 more Smart Citations
“…5 The result is stated and proven in a way that aligns with the broader developments of this section.…”
Section: A Process Instance Executing Stagesupporting
confidence: 64%
“…Hence, R and R ∞ are not nodes of G . On the other hand, G must contain the node corresponding to resource R * , since otherwise, it would also be present in F (σ) (we remind the reader that the only resources that have their allocation 5 We emphasize that this equivalence between state safety and the absence of partial deadlock does not hold true, in general. Examples of deadlock-free and yet unsafe RAS states in the context of the considered application are provided in [20].…”
Section: A Process Instance Executing Stagementioning
confidence: 99%
See 1 more Smart Citation
“…Since convex sets can be homeomorphically mapped to Euclidean balls with certain degrees of smoothness, for instance, see [32], for the sake of simplicity, we consider navigation in a closed Euclidean ball W = B (p W , r W ), centered at p W ∈ R n with radius r W > r, toward a given goal location x * ∈F in the interiorF of the free space F of our disk-shaped robot, centered at x ∈ F and of radius r > 0, by using the negated gradient of the following well established artificial potential functions…”
Section: A Navigation In a Convex Workpacementioning
confidence: 99%
“…In this paper, we introduce a new construction for such feedback planners using tools from computational geometry and convex optimization that have been more traditionally associated with roadmap-style approaches. In so doing, our construction raises the possibility of a "doubly reactive," scheme mixing some of the advantages of sensorbased exploration [3] with those of hybrid real-time control [4] in that not merely the integrated robot trajectory, but also its generating vector field can be constructed on the fly in real time.…”
Section: Introductionmentioning
confidence: 99%