The complexity of Markov decision processes
Mathematics of Operations Research
Stochastic systems: estimation, identification and adaptive control
Stochastic systems: estimation, identification and adaptive control
An incremental algorithm for a generalization of the shortest-path problem
Journal of Algorithms
Worst-case formulations of model predictive control for systems with bounded parameters
Automatica (Journal of IFAC)
Fully dynamic algorithms for maintaining shortest paths trees
Journal of Algorithms
Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Mobile Robot Localization and Map Building: A Multisensor Fusion Approach
Mobile Robot Localization and Map Building: A Multisensor Fusion Approach
Improved Occupancy Grids for Map Building
Autonomous Robots
Robot Path Planning Using Fluid Model
Journal of Intelligent and Robotic Systems
Eighteenth national conference on Artificial intelligence
Exploring artificial intelligence in the new millennium
Exact and approximate algorithms for partially observable markov decision processes
Exact and approximate algorithms for partially observable markov decision processes
Robust hybrid control for autonomous vehicle motion planning
Robust hybrid control for autonomous vehicle motion planning
Simulation-based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Simulation-based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Stochastic programming approach to optimization under uncertainty
Mathematical Programming: Series A and B
Anytime search in dynamic graphs
Artificial Intelligence
Dynamic Programming and Optimal Control, Vol. II
Dynamic Programming and Optimal Control, Vol. II
Optic flow-based vision system for autonomous 3D localization and control of small aerial vehicles
Robotics and Autonomous Systems
Finding approximate POMDP solutions through belief compression
Journal of Artificial Intelligence Research
The focussed D* algorithm for real-time replanning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Online world modeling and path planning for an unmanned helicopter
Autonomous Robots
Vision-based control of near-obstacle flight
Autonomous Robots
A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance
Journal of Intelligent and Robotic Systems
Vision-based local multi-resolution mapping and path planning for miniature air vehicles
ACC'09 Proceedings of the 2009 conference on American Control Conference
Monocular vision SLAM for indoor aerial vehicles
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A probabilistic particle-control approximation of chance-constrained stochastic predictive control
IEEE Transactions on Robotics
Fly-inspired visual steering of an ultralight indoor aircraft
IEEE Transactions on Robotics
Brief An improved approach for constrained robust model predictive control
Automatica (Journal of IFAC)
Research Infrastructure for Interactive Human- and Autonomous Guidance
Journal of Intelligent and Robotic Systems
Central Processing Unit for an Autopilot: Description and Hardware-In-the-Loop Simulation
Journal of Intelligent and Robotic Systems
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This paper provides a survey of motion planning techniques under uncertainty with a focus on their application to autonomous guidance of unmanned aerial vehicles (UAVs). The paper first describes the primary sources of uncertainty arising in UAV guidance and then describes relevant practical techniques that have been reported in the literature. The paper makes a point of distinguishing between contributions from the field of robotics and artificial intelligence, and the field of dynamical systems and controls. Mutual and individual contributions for these fields are highlighted providing a roadmap for tackling the UAV guidance problem.