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Fully Autonomous implementation of Rescue Robots on Tough Terrain
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In this project, I will attempt to make fully autonomous of our small rescue robot on various terrain. It will consist of localisation(6DoF), planning and execution(flippers & wheels).
Point Set Registration
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This is the project during my research visiting at Andread Nuechter’s group. The goal is to build efficient feature for very large point cloud matching, e.g., the city data, which is a challenge due to the large size of data and the weak capability of recent descriptor in such a dataset.
Flipper Planning for Rescue Robots
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This project propose a very inexpensive method on compute the rescue robot morphology (with flipper) in various terrain.
Randomized Sketches for Deep Kernel Learning
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In this project, randomized sketches has been applied on kernel ridge regression for stochastic learning of DNN feature extractor.