[PDF] Top 20 Collision Avoidance for Unmanned Aircraft using Markov Decision Processes
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Collision Avoidance for Unmanned Aircraft using Markov Decision Processes
... Before unmanned aircraft can fly safely in civil airspace, robust airborne collision avoid- ance systems must be ...a collision avoidance algorithm for every combination of ... Voir le document complet
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Multi-agent Planning for Ship Collision Avoidance
... intelligent collision avoidance systems such as expert systems and decision making support systems [1, 2, 3, 4, 5, 6, ...developed for making decision on collision ... Voir le document complet
8
Aircraft collision avoidance using Monte Carlo Real-Time Belief Space Search
... planning for the current belief state. As opposed to planning for all possible situations (as is the case with offline solvers), online algorithms only consider the current situation and a small number of ... Voir le document complet
95
Dynamic collision avoidance using local cooperative airplanes decisions
... approaches, decision and coordination are autonomously made by the entities ...nodes. For example, in [ 22 ], airplanes are represented by agents with the ability to modify their velocity and departure time ... Voir le document complet
14
Decentralized Control of Partially Observable Markov Decision Processes Using Belief Space Macro-Actions
... asynchronous decision-making is often needed due to stochastic action effects and the lack of perfect ...controllers for each robot would be automatically generated based on a high-level domain ...method ... Voir le document complet
9
Lightweight Verification of Markov Decision Processes with Rewards
... The Kearns algorithm is the classic ‘sparse sampling algorithm’ for large, in- finite horizon, discounted MDPs. It constructs a ‘near optimal’ scheduler piece- wise, by approximating the best action from a current ... Voir le document complet
16
Avionics systems development for small unmanned aircraft
... The avionics systems for two small unmanned aerial vehicles (UAVs) are considered from the point of view of hardware selection, navigation and control algorithm desig[r] ... Voir le document complet
104
Aircraft collision models
... (All aircraft have the same probability distributions of velocity and density.) An aircraft collision model which estimates the rate of collisions between different types[r] ... Voir le document complet
98
Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions
... used for many decentralized planning problems, this domain was chosen due to its extreme ...complexity. For instance, the experiments conducted use a policy controller with 13 nodes, resulting in a policy ... Voir le document complet
9
Collision avoidance via laser rangefinding
... The sensor utilizes a short pulse waveform of approximately 2.5 nanoseconds in duration while the receiver uses advance processing technology to detect the radar ret[r] ... Voir le document complet
105
Underwater Robotic: localization with electrolocation for collision avoidance
... electrolocation for collision avoidance Guillaume Baffet, Pol Bernard Gossiaux, Mathieu Porez and Fr´ed´eric Boyer Abstract— This paper proposes and compares two observers designed to calculate the ... Voir le document complet
7
Lexicographic refinements in stationary possibilistic Markov Decision Processes
... possibilistic Markov decision processes and proposes a value iteration algorithm that looks for policies optimal with respect to these ...non-sequential decision making under ... Voir le document complet
22
Collision Avoidance of Redundant Robotic Manipulators Using Newton’s Method
... fields for performing collision avoidance and path planning in high DOF manip- ...ulators. Using mathematical optimization, the collision avoidance problem is ...utilized ... Voir le document complet
10
3D Collision Avoidance for Digital Actors Locomotion
... solution for planning the locomotion of a digital actor through a virtual environment has been presented in this ...an collision avoidance ... Voir le document complet
7
Case learning for CBR-based collision avoidance systems
... methods for learning cases from historic maritime affair ...estimation for given ...situation for our evaluation task. While running ship-handling simulations using the designed encounter ... Voir le document complet
21
Constrained Markov Decision Processes with Total Expected Cost Criteria
... s(β, u; x) = β(x) + X y∈X s(β, u; y) M P yx (w). see the derivation of eq 8.6 page 102 in [1]. Note that in [1], s(β, u; x) is finite for all β, u and x but eq. 8.6 in [1] holds also in our framework. Hence by ... Voir le document complet
3
Lexicographic refinements in possibilistic decision trees and finite-horizon Markov decision processes
... time for the six criteria (the three optimistic ones and the three pes simistic ...of decision nodes, which is in line with what we could ...ms for the DTs with 5461 decision ... Voir le document complet
27
A Learning Design Recommendation System Based on Markov Decision Processes
... The learning object ݏ ᇱ is reached from ݏ after the transition ܽ ԡܶܵሺ݄ܶ݁ܽܿ݁ݎሻǡ ܶܵሺݏ ᇱ ሻԡ is a distance factor between the teacher’s teaching styles and the learning object ݏ ᇱ teaching styles. Consequently, ԡܮܵሺܷݏ݁ݎሻǡ ... Voir le document complet
9
DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes
... There are two important related lines of work, focusing ei- ther on factoring or on decomposition of large MDPs. Im- provements on factored MDP solvers continue to treat the MDP as a single problem, but find more compact ... Voir le document complet
9
Lexicographic refinements in possibilistic decision trees and finite-horizon Markov decision processes
... algorithms for finding lexico- graphic solutions to ...algorithms for possibilistic MDPs, since no unique stochastic transition function corresponds to a possibility distribution [ 42 ...possibilistic ... Voir le document complet
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