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FLAIRS
2004
13 years 8 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
MVA
2000
161views Computer Vision» more  MVA 2000»
13 years 8 months ago
Vision Based Global Navigation System for Autonomous Urban Transport Vehicles in Outdoor Partially Known Environments
This paper describes a vision-based system for autonomous urban transport missions in outdoor environments. Specialized modules are implemented for particular tasks such as lane t...
Miguel Ángel Sotelo Vázquez, Luis Ma...
SMC
2007
IEEE
125views Control Systems» more  SMC 2007»
14 years 1 months ago
A hierarchical strategy for learning of robot walking strategies in natural terrain environments
– In this paper, we present a hierarchical methodology that learns new walking gaits autonomously while operating in an uncharted environment, such as on the Mars planetary surfa...
Ayanna M. Howard, Lonnie T. Parker
COLCOM
2007
IEEE
14 years 1 months ago
Collaborative motion planning of autonomous robots
—In disaster areas, office buildings, or at home, multiple autonomous networked mobile robots may act instead of human beings. These robots have to move to their destination so ...
Takashi Okada, Razvan Beuran, Junya Nakata, Yasuo ...
ISRR
2001
Springer
165views Robotics» more  ISRR 2001»
13 years 12 months ago
Human-Centered Robotics and Interactive Haptic Simulation
A new field of robotics is emerging. Robots are today moving towards applications beyond the structured environment of a manufacturing plant. They are making their way into the e...
Oussama Khatib, Oliver Brock, K. C. Chang, Diego C...