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» Mobile Robot Navigation Support in Living Environments
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IJACTAICIT
2010
163views more  IJACTAICIT 2010»
14 years 10 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
KI
1998
Springer
15 years 5 months ago
GOLEX - Bridging the Gap between Logic (GOLOG) and a Real Robot
The control of mobile robots acting autonomously in the real world is one of the long-term goals of the field of artificial intelligence. So far the field lacks methods bridging th...
Dirk Hähnel, Wolfram Burgard, Gerhard Lakemey...
FUZZIEEE
2007
IEEE
15 years 7 months ago
A Genetic Algorithm Based Architecture for Evolving Type-2 Fuzzy Logic Controllers for Real World Autonomous Mobile Robots
— The type-2 Fuzzy Logic Controller (FLC) has started to emerge as a promising control mechanism for autonomous mobile robots navigating in real world environments. This is becau...
Christian Wagner, Hani Hagras
JFR
2006
140views more  JFR 2006»
15 years 1 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
IROS
2006
IEEE
146views Robotics» more  IROS 2006»
15 years 7 months ago
A Video Game-Based Mobile Robot Simulation Environment
— Simulation is becoming an increasingly important aspect of mobile robots. As we are better able to simulate the real world, we can usefully perform more research in simulated e...
Josh Faust, Cheryl Simon, William D. Smart