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» Learning to Drive and Simulate Autonomous Mobile Robots
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ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
15 years 6 months ago
Learning to Select State Machines using Expert Advice on an Autonomous Robot
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
Brenna Argall, Brett Browning, Manuela M. Veloso
AGENTS
2001
Springer
15 years 4 months ago
Using rat navigation models to learn orientation from visual input on a mobile robot
Rodents possess extraordinary navigation abilities that are far in excess of what current state-of-the-art robot agents are capable of. This paper describes research that is part ...
Brett Browning
AROBOTS
2005
55views more  AROBOTS 2005»
14 years 11 months ago
Nonlinear Control for the Dual Smart Drive Using Backstepping and a Time-Optimal Reference
The Dual Smart Drive is a specially designed nonlinear actuator intended for use in climbing and walking legged robots. It features a continuously changing transmission ratio and d...
Roemi Fernández, João Pedro Hespanha...
CEC
2005
IEEE
15 years 1 months ago
Evolution and prioritization of survival strategies for a simulated robot in Xpilot
Simulated evolution by the use of Genetic Algorithms (GA) is presented as the solution to a twofaceted problem: the challenge for an autonomous agent to learn the reactive componen...
Gary B. Parker, Timothy S. Doherty, Matt Parker
BC
2008
134views more  BC 2008»
14 years 12 months ago
Interacting with an artificial partner: modeling the role of emotional aspects
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated a...
Isabella Cattinelli, Massimiliano Goldwurm, N. Alb...