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» Control Strategies for a Stochastic Planner
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89
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ICRA
2002
IEEE
175views Robotics» more  ICRA 2002»
15 years 2 months ago
Flying Robots: Modeling, Control and Decision Making
This paper presents a flight rnanageiiient system (FhIS) iinpleniented as on-board intelligence for rotorcraft-based unmanned aerial vehicles (RUAVs), in order to gradually ilen a...
H. Jin Kim, David Hyunchul Shim, Shankar Sastry
86
Voted
IROS
2006
IEEE
217views Robotics» more  IROS 2006»
15 years 3 months ago
Active SLAM using Model Predictive Control and Attractor based Exploration
– Active SLAM poses the challenge for an autonomous robot to plan efficient paths simultaneous to the SLAM process. The uncertainties of the robot, map and sensor measurements, a...
Cindy Leung, Shoudong Huang, Gamini Dissanayake
ACL
2000
14 years 11 months ago
Spoken Dialogue Management Using Probabilistic Reasoning
Spoken dialogue managers have benefited from using stochastic planners such as Markov Decision Processes (MDPs). However, so far, MDPs do not handle well noisy and ambiguous speec...
Nicholas Roy, Joelle Pineau, Sebastian Thrun
83
Voted
CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
15 years 2 months ago
A constant-factor approximately optimal solution to the Witsenhausen counterexample
Abstract— Despite its simplicity (two controllers and otherwise LQG), Witsenhausen’s counterexample is one of the long-standing open problems in stochastic distributed control....
Se Yong Park, Pulkit Grover, Anant Sahai
TSMC
1998
78views more  TSMC 1998»
14 years 9 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath