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TORP: The Open Robot Project A Framework for Module-Based Robots
(Springer, 2012-04-01)
The development of robots has shown itself as a very complex interdisciplinary research field. The predominant procedure for these developments in the last decades is based on the assumption that each robot is a fully ...
TORP: The Open Robot Project A Framework for Module-Based Robots
(Springer, 2012-04-01)
The development of robots has shown itself as a very complex interdisciplinary research field. The predominant procedure for these developments in the last decades is based on the assumption that each robot is a fully ...
TORP: The Open Robot Project A Framework for Module-Based Robots
(Springer, 2014)
A framework for learning in humanoid simulated robots
(2008-09-01)
One of the most important characteristics of intelligent activity is the ability to change behaviour according to many forms of feedback. Through learning an agent can interact with its environment to improve its performance ...
A framework for learning in humanoid simulated robots
(2008-09-01)
One of the most important characteristics of intelligent activity is the ability to change behaviour according to many forms of feedback. Through learning an agent can interact with its environment to improve its performance ...
Adaptive Nonlinear MPC for Efficient Trajectory Tracking Applied to Autonomous Mining Skid-Steer Mobile Robots
(IEEE, 2020)
The heterogeneous nature of the navigation surface suggests adaptation capabilities in vehicle motion control to overcome the effects of the wheel-terrain interaction. In such scenario, this paper presents an integral ...
Multivalued adaptive neuro-fuzzy controller for robot vehicle - art. no. 1406
(Atlantis Press, 2007-01-01)
Robotic vehicle navigation in unstructured and uncertain environments is still a challenge. This paper presents the implementation of a multivalued neurofuzzy controller for autonomous ground vehicle (AGVs) in indoor ...
Multivalued adaptive neuro-fuzzy controller for robot vehicle - art. no. 1406
(Atlantis Press, 2007-01-01)
Robotic vehicle navigation in unstructured and uncertain environments is still a challenge. This paper presents the implementation of a multivalued neurofuzzy controller for autonomous ground vehicle (AGVs) in indoor ...