Maurício Acconcia Dias

Learn More
Operating in critical environments is an extremely desired feature for fault-tolerant embedded systems. In addition, due to design test and validation complexity of these systems, faster and easier development methods are needed. Evolvable Hardware (EHW) is a development technique that, using reconfigurable hardware, builds systems that reconfiguration part(More)
The LRM Lab activities are focused in the development of research and applications using intelligent mobile robots and vehicles. One of our main research focus is on service robots used to execute tasks into indoor environments based on tele-operation and autonomous navigation for environment monitoring and incident detection, notification and response. The(More)
Artificial neural networks are a parallel, fault tolerant, robust solution for computational tasks such as associative memories, pattern recognition and function approximation. There are many proposed implementations for artificial neural networks and network's learning algorithms both in hardware and software. Hardware implementation of learning algorithms(More)
  • 1