Javier Finat will lecture two sessions this week about Robotics at the Guangzhou Institute of Advanced Technology (GIAT) located at Haibin Rd., 1121, Nansha, Guangzhou.
In the first talk, he is going to introduce the main elements involved in the localization, navigation and trajectory planning of mobile robots. Information coming from different types of sources (sensors, cameras, and LiDAR) must be fused to predict more accurate poses and trajectories of the robots. Geometric methods and statistical approaches for sampling can be combined in the classical pipeline: sample, filter, detect, describe, predict, modify and interact. However, it is mandatory to handle noise in real-time data to deal with uncertainty. The goal of this talk is to discuss analytical and statistical approaches to these problems with the researches of the GIAT.
In the second talk, Simultaneous Localization and Mapping (SLAM) is going to be addressed. SLAM is a
Both talks will take place next weeks as the kick off of a collaboration between MoBiVAP and the GIAT.