Manuel M. Crisóstomo

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Flexible manufacturing cells (FMC) are capable of producing a broad variety of products and changing their characteristics quickly and frequently. This flexibility provides for more efficient use of resources but makes the control of these systems more difficult. This paper presents several software applications developed for industrial robots and computer(More)
The real-time balance control of an eight-link biped robot using a zero moment point (ZMP) dynamic model is difficult due to the processing time of the corresponding equations. To overcome this limitation, two alternative intelligent computing control techniques were compared: one based on support vector regression (SVR) and another based on a first-order(More)
Despite all the progress that has been made in Robotics and Artificial Intelligence, traditional approaches seem unsuitable to build truly intelligent robots, exhibiting human-like behaviours. Many authors agree that the source of intelligence is, to a great extent, the use of a huge memory, where sequences of events that guide our later behaviour are(More)
In this paper, the design and implementation of a real-time landing algorithm for an autonomous helicopter is presented. The helicopter uses an onboard acquisition system to obtain the GPS and the sonar data to update its landing parameters. To control the path during the land step a fuzzy logic controller located in the fixed station is used. This(More)
Traditional approaches to Artificial Intelligence (AI) and Robotics seem only to provide advances at a very slow pace. Many researchers agree that new, different approaches are needed to provide a breakthrough and allow the construction of robots with human-like capacities. Our approach consists in navigating a robot using vision a Sparse Distributed Memory(More)
This paper analyzes human motion, more specifically the human gait in the sagittal plane. A video camera is used to acquire images of a walking person, fitted with a set of white light-emitting diodes (LEDs). The acquired trajectories of the light points are then used to specify joint trajectories in a biped robot. To analyze the stability of the human(More)
The work described in this paper focuses the problem of detecting and avoiding obstacles in an unknown environment, which are key issues in the control of autonomous mobile robots. The approach presented is based on multilayer perceptrons (MLPs), which are used in a modular organisation and trained with a variant of the standard backpropagation (BP)(More)