Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Joshua Redding"'
Publikováno v:
Journal of Intelligent and Robotic Systems. 47:361-382
This paper presents a method for determining the GPS location of a ground-based object when imaged from a fixed-wing miniature air vehicle (MAV). Using the pixel location of the target in an image, measurements of MAV position and attitude, and camer
Autor:
Matthew A. Vavrina, Joshua Redding, Jonathan P. How, Tuna Toksoz, John Vian, Girish Chowdhary, N. Kemal Ure
Publikováno v:
AIAA Guidance, Navigation, and Control Conference.
planning problems in presence of state-correlated uncertainty.An online learning and planning framework is used to address the problem of improving planner performance for missions with state-dependent uncertain agent health dynamics. The framework i
Publikováno v:
ACC
This paper introduces an approximation algorithm for stochastic multi-agent planning based on Markov decision processes (MDPs). Specifically, we focus on a decentralized approach for planning the actions of a team of cooperating agents with uncertain
Autor:
Alborz Geramifard, Matthew A. Vavrina, N. Kemal Ure, Jonathan P. How, John Vian, Tuna Toksoz, Joshua Redding
Publikováno v:
AIAA Guidance, Navigation, and Control Conference.
This paper introduces and demonstrates a full hardware testbed for research in long-duration missions for multiple, autonomous agents. Speci cally, we describe an automated battery management platform designed to service multiple quadrotor agents in
Publikováno v:
MIT web domain
Scopus-Elsevier
Scopus-Elsevier
Risk and reward are fundamental concepts in the cooperative control of unmanned systems. This paper focuses on a constructive relationship between a cooperative planner and a learner in order to mitigate the learning risk while boosting the asymptoti
Publikováno v:
Scopus-Elsevier
This paper extends prior work on the persistent mission problem where real-time changes in agent capability are included in the problem formulation. Here, we couple the mission planner with a low-level adaptive controller in real-time to: (1) Provide
Publikováno v:
MIT web domain
In this paper, we introduce a method for learning and adapting cooperative control strategies in real-time stochastic domains. Our framework is an instance of the intelligent cooperative control architecture (iCCA)[superscript 1]. The agent starts by
Publikováno v:
Scopus-Elsevier
This paper presents an extension of our previous work on the persistent surveillance problem. An extended problem formulation incorporates real-time changes in agent capabilities as estimated by an onboard health monitoring system in addition to the
Publikováno v:
AIAA Guidance, Navigation, and Control Conference.
prone to false alarms. If a false failure information is used in the feedback control law, this can lead to substantial performance deterioration and even instability of the closed-loop system. One possible solution to this problem is Self Diagnostic
Autor:
Jovan Boskovic, Joshua Redding
Publikováno v:
AIAA Guidance, Navigation, and Control Conference.
In this paper we describe a new algorithm for accommodation of failures in morphing flight control actuators. The algorithm is well suited for the case of continuous actuators that can assume arbitrary positions between the saturation limits. The alg