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» Control Strategies for a Stochastic Planner
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73
Voted
IROS
2008
IEEE
129views Robotics» more  IROS 2008»
15 years 4 months ago
Near-optimal navigation of high speed mobile robots on uneven terrain
—This paper proposes a method for near-optimal navigation of high speed mobile robots on uneven terrain. The method relies on a layered control strategy. A high-level planning la...
Karl Iagnemma, Shingo Shimoda, Zvi Shiller
CA
1999
IEEE
15 years 2 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
14 years 9 months ago
Motion planning in uncertain environments with vision-like sensors
In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment ...
Suman Chakravorty, John L. Junkins
72
Voted
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 3 months ago
Mission planning for joint suppression of enemy air defenses using a genetic algorithm
In this paper we present a genetic algorithm applied to the problem of mission planning for Joint Suppression of Enemy Air Defenses (JSEAD) in support of air strike operations. Th...
Jeffrey P. Ridder, Jason C. HandUber
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 3 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming