2007 IEEE/RSJ International Conference on Intelligent Robots and Systems 2007
DOI: 10.1109/iros.2007.4399374
|View full text |Cite
|
Sign up to set email alerts
|

Valet parking without a valet

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
32
0

Year Published

2008
2008
2017
2017

Publication Types

Select...
6
2
2

Relationship

3
7

Authors

Journals

citations
Cited by 64 publications
(36 citation statements)
references
References 14 publications
0
32
0
Order By: Relevance
“…This paper focuses on the first step of the approach described in Section 3, the translation of the language to the logic, and does not elaborate on other aspects of this method. Real-world robotics issues such as dealing with complex dynamics, non-holonomic constraints and control robustness were addressed in Refs [22,23] and are active research directions as is dealing with sensor noise and uncertainty.…”
Section: Discussionmentioning
confidence: 99%
“…This paper focuses on the first step of the approach described in Section 3, the translation of the language to the logic, and does not elaborate on other aspects of this method. Real-world robotics issues such as dealing with complex dynamics, non-holonomic constraints and control robustness were addressed in Refs [22,23] and are active research directions as is dealing with sensor noise and uncertainty.…”
Section: Discussionmentioning
confidence: 99%
“…For example, a continuous-time, timeinvariant model was considered in [11], [12] and [13] for special cases of fully actuated (ṡ(t) = u(t)), kinematic (ṡ(t) = A(s(t))u(t)) and piecewise affine dynamics, respectively, while a discrete-time, time-invariant model was considered in [6] and [14] for special cases of piecewise affine and controllable linear systems, respectively. Discretetime linear time-invariant state space model with exogenous disturbances was considered in [15], [16].…”
Section: A Finite State Abstraction Of Continuous Systemsmentioning
confidence: 99%
“…GR(1) games have been applied in numerous settings such as hardware design [4], high-level strategies for selfadaptive systems [15], [5], robot-controller planning [11], [21], [24], [25], [40] and user programming [26], [27]. In addition, many tools for solving GR(1) games have been developed [22], [38], [2], [16] showing that there is real interest in the application of games with GR(1) winning conditions.…”
Section: Introductionmentioning
confidence: 99%