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» On Computing Complex Navigation Functions
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JAIR
2000
152views more  JAIR 2000»
13 years 9 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
ICRA
2006
IEEE
94views Robotics» more  ICRA 2006»
14 years 3 months ago
Totally Distributed Motion Control of Sphere World Multi-agent Systems using Decentralized Navigation Functions
— A distributed feedback control architecture that guarantees collision avoidance and destination convergence for multiple sphere world holonomic agents is presented. The well es...
Dimos V. Dimarogonas, Kostas J. Kyriakopoulos, Dim...
RAS
2006
91views more  RAS 2006»
13 years 9 months ago
Visual navigation and obstacle avoidance using a steering potential function
Humans have a remarkable ability to navigate using only vision, but mobile robots have not been nearly as successful. We propose a new approach to vision-guided local navigation, ...
Wesley H. Huang, Brett R. Fajen, Jonathan R. Fink,...
CIE
2010
Springer
14 years 2 months ago
Circuit Complexity and Multiplicative Complexity of Boolean Functions
In this note, we use lower bounds on Boolean multiplicative complexity to prove lower bounds on Boolean circuit complexity. We give a very simple proof of a 7n/3 − c lower bound ...
Arist Kojevnikov, Alexander S. Kulikov
SIGGRAPH
1990
ACM
14 years 1 months ago
Real-time robot motion planning using rasterizing computer graphics hardware
We presenta real-time robot motion plannerthatis fastandcomplete to a resolution. The technique is guaranteed to find a path if one exists at the resolution, and all paths returne...
Jed Lengyel, Mark Reichert, Bruce Randall Donald, ...