E. Frazzoli, M. A. Dahleh, and E. Feron. Real-time motion planning for agile autonomous vehicles. AIAA Journal of Guidance and Control, 25(1):116--129, 2002. Home/Search Document Details and Download
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Controllable Kinematic Reductions for Mechanical Systems.. - Bullo, Lewis (2002) (1 citation) (Correct)
.... control systems can be related to numerous previous e#orts, including work on hybrid models for motion control systems [1] motion description languages [2] oscillatory motion primitives [3] consistent control abstractions [4] hierarchical steering algorithms [5] and maneuver automata [6]. In Section 3, we introduce the notion of kinematic reduction as a model reduction technique adapted to mechanical control systems. This novel concept extends and unifies our previous results in [7, 8] A kinematic model for a mechanical system is one such that every controlled trajectory for ....
E. Frazzoli, M. A. Daleh, and E. Feron, "Real-time motion planning for agile autonomous vehicles," AIAA Journal of Guidance, Control, and Dynamics, vol. 25, no. 1, pp. 116--129, 2002.
Nonlinear and Hybrid Control Via RRTs - Branicky, Curtiss (2002) (3 citations) (Correct)
....showed similar behavior to that shown in [31, p. 274] 5 Figure 3: Acrobot Swing Up Problem: vertical position versus time 4 RRTs for Hybrid Systems Emilio Frazzoli and his co workers have used random search in the context of a hybrid manuever automaton to plan motions for aerospace vehicles [14, 5, 13, 15]. However, we believe our work is the first general description of a hybrid RRT. A general, hybrid RRT can be achieved in various ways, depending on the underlying hybrid systems model and specifics of the continuous and discrete dynamics (and symmetries therein) We now wish to give a taste of ....
E. Frazzoli, M. A. Dahleh, and E. Feron. Real-time motion planning for agile autonomous vehicles. AIAA Journal of Guidance, Control, and Dynamics, May 2002. To appear.
Robust Hybrid Control for Autonomous Vehicle Motion Planning - Emilio Frazzoli Munther (1999) (21 citations) Self-citation (Frazzoli Dahleh Feron) (Correct)
....control architecture will be kept at a general level. In this paper, due to space constraints, we will present only the definition of the automaton and the analysis of some of its fundamental properties. Algorithms for motion planning based on the framework presented in this paper are available in [8, 9]. 2 Hybrid Automaton A possible approach to reduce the computational complexity of the motion planning problem for a nonlinear, high dimensional system, is based on a quantization of the system dynamics, in the sense that we restrict the feasible nominal system trajectories to the family of ....
....a RHA can be seen as a powerful modeling tool, encoding all the relevant information on the dynamics of the system in a reduced set of state variables. The design of control laws for higher level tasks to be performed by the system will then be substantially simplified: as it has been shown in [6, 8, 9], it will be possible to operate in a a relatively small maneuver space , as opposed to the full state space. Motion planning on this maneuver space will be completely free from all the stability concerns because these have been already addressed in the construction of the RHA. 4.1 ....
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E. Frazzoli, M.A. Dahleh, and E. Feron. Real-time motion planning for agile autonomous vehicles. In AIAA Conf. on Guidance, Navigation and Control, Denver, CO, August 2000.
On-line Techniques for Behavioral Programming - Branicky, Johansen, Petersen, .. (2000) (3 citations) Self-citation (Frazzoli) (Correct)
....randomized attraction points x eq (t) that effectively steers the system to the desired configuration while avoiding obstacles. In the following, we will present a brief outline of the algorithm. More details on the algorithm, and an analysis of its completeness and performance can be found in [9]. Starting with a node representing the initial condition, we build a tree by iteratively adding new milestones , which are connected to the tree by a feasible trajectory segment. Each new milestone is generated through the generation of a random equilibrium state x rand # the control policy ....
E. Feron E. Frazzoli, M.A. Dahleh. Real-time motion planning for agile autonomous vehicles. In AIAA Conf. on Guidance, Navigation and Control,Denver, August 2000.
Dynamic-Domain RRTs: Efficient Exploration by Controlling.. - Anna Yershova Eonard (2005) (1 citation) (Correct)
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E. Frazzoli, M. A. Dahleh, and E. Feron. Real-time motion planning for agile autonomous vehicles. AIAA Journal of Guidance and Control, 25(1):116--129, 2002.
From Dynamic Programming to RRTs: Algorithmic Design of Feasible.. - LaValle (2002) (Correct)
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E. Frazzoli, M. A. Dahleh, and E. Feron. Real-time motion planning for agile autonomous vehicles. AIAA Journal of Guidance and Control, 25(1):116--129, 2002.
Autonomous Behaviors for Interactive Vehicle Animations - Go, Vu, Kuffner (2004) (Correct)
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FRAZZOLI E., DAHLEH M., FERON E.: Real-time motion planning for agile autonomous vehicles. AIAA Journal of Guidance, Control, and Dynamics 25, 1 (2002), 116--129. 2
A PRM-based Motion Planner for Dynamically - Changing Environments Lonard (Correct)
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E. Feron, E. Frazzoli and M. Dahleh. "Real-time motion planning for agile autonomous vehicles". In AIAA Conf. on Guidance, Navigation and Control, Denver, August 2000.
Dynamic-Domain RRTs: Efficient Exploration by Controlling.. - Anna Yershova Eonard (2005) (1 citation) (Correct)
No context found.
E. Frazzoli, M. A. Dahleh, and E. Feron. Real-time motion planning for agile autonomous vehicles. AIAA Journal of Guidance and Control, 25(1):116--129, 2002.
Adaptive Tuning of the Sampling Domain for - Dynamic-Domain Rrts Eonard (Correct)
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E. Frazzoli, M. A. Dahleh, and E. Feron. Real-time motion planning for agile autonomous vehicles. AIAA Journal of Guidance and Control, 25(1):116--129, 2002.
Safe Navigation of a Car-Like Robot within a Dynamic Environment - Petti, Fraichard (2005) (Correct)
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E. Feron, E. Frazzoli, and M. Dahleh, "Real-time motion planning for agile autonomous vehicles," in AIAA Conference on Guidance, Navigation and Control, Denver (US), August 2000.
High-Speed Autonomous Navigation with Motion Prediction - Vasquez, Large, Laugier (2004) (Correct)
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E. Frazzoli, M. A. Dahleh, and E. Feron, "Real-time motion planning for agile autonomous vehicles," AIAA Journal of Guidance, Control and Dynamics, vol. 25, no. 1, pp. 116--129, 2002.
Partial Motion Planning Framework for Reactive Planning.. - Petti, Fraichard (2005) (Correct)
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Feron, E., Frazzoli, E., and Dahleh, M. (2000). Real-time motion planning for agile autonomous vehicles. In AIAA Conference on Guidance, Navigation and Control, Denver (US).
Moving Obstacles' Motion Prediction for Autonomous Navigation - Vasquez, Large, Laugier (2004) (Correct)
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E. Frazzoli, M. A. Dahleh, and E. Feron, "Real-time motion planning for agile autonomous vehicles," AIAA Journal of Guidance, Control and Dynamics, vol. 25, no. 1, pp. 116--129, 2002.
Safe Motion Planning in Dynamic Environments - Petti, Fraichard (2005) (Correct)
No context found.
E. Feron, E. Frazzoli, and M. Dahleh, "Real-time motion planning for agile autonomous vehicles," in AIAA Conference on Guidance, Navigation and Control, Denver (US), August 2000.
Autonomous Behaviors for Interactive Vehicle Animations - Go, Vu, Kuffner (2004) (Correct)
No context found.
FRAZZOLI E., DAHLEH M., FERON E.: Real-time motion planning for agile autonomous vehicles. AIAA Journal of Guidance, Control, and Dynamics 25, 1 (2002), 116--129. 2
Approximate Safety Enforcement Using - Computed Viability Envelopes (2004) (Correct)
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E. Frazzoli, M. A. Dahleh, and E. Feron, "Real-time motion planning for agile autonomous vehicles," AIAA Journal of Guidance, Control, and Dynamics, vol. 25, no. 1, pp. 116--129, 2002.
Planning Algorithms - LaValle (2004) (3 citations) (Correct)
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E. Frazzoli, M. A. Dahleh, and E. Feron. Real-time motion planning for agile autonomous vehicles. AIAA Journal of Guidance and Control, 25(1):116-- 129, 2002.
Autonomous Vehicle Technologies for Small Fixed Wing UAVs - Kingston, Beard, McLain, .. (2003) (Correct)
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E. Frazzoli, M. Dahleh, and E. Ferron, "Real-time motion planning for agile autonomous vehicles," in Proceedings of the AIAA Guidance, Navigation, and Control Conference, (Denver, CO), August 2000. AIAA Paper No. AIAA-2000-4056.
Approximate Safety Enforcement Using Computed Viability.. - Kalisiak, Panne (2004) (Correct)
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E. Frazzoli, M. A. Dahleh, and E. Feron, "Real-time motion planning for agile autonomous vehicles," AIAA Journal of Guidance, Control, and Dynamics, vol. 25, no. 1, pp. 116--129, 2002.
Hierarchical Trajectory Generation for a Class of Nonlinear.. - Tabuada, Pappas (Correct)
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E. Frazzoli, M. Dahleh, and E. Feron. Real-time motion planning for agile autonomous vehicles. In Proceedings of the 2001.
Hierarchical Trajectory Generation for a Class of Nonlinear.. - Tabuada, Pappas (Correct)
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E. Frazzoli, M. Dahleh, and E. Feron. Real-time motion planning for agile autonomous vehicles. In Proceedings of the 2001.
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