Joaquin Sitte

Research
Topics	Projects
Autonomous Machines Behaviour generation in mobile robots and real time embedded control systems Robot Learning Computational Intelligence (Neuro-fuzzy-evolutionary) Analogue Neural Network Hardware Analogue VLSI "Cheap" Vision Fast resource efficient vision for mobile devices Hardware evolution Computing with Configurable Hardware Concurrent systems on FPGAs Distributed software/hardware architecture for mobile robots Edutainment robotics Legged locomotion for robots Systems Science and Engineering	Smart Camera for on-board vision for mobile applications Analog Local Cluster Neural Net (LCNN) chip Parallel, in circuit "learning" for analogue electronic neural nets Local cluster (LC) neural networks for adaptive function approximation for real time tasks. Includes the Elsy LC neural net simulation program Teaming up humans and robots using Bluetooth wireless networks. Low cost implementation of the Agora distributed architecture for teams of autonomous robots. Feeling” Legs for Autonomous Cooperative Machine Walking QUT Robot Soccer team

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