03 Jun

[Handwriting] Derivation of Input Unbiased and Minimum-variance Estimation

Zida Wu

Big picture The deficiency of the current derivation is marked red color, which would be extended in the next week.

30 May

Assemble and play around with prototype blimp

Zhaoliang Zheng

This week, we assembled the prototype blimp in the lab. Siyou played around with it. This prototype blimp requires some skills to manually control it.

27 May

RoCo Actuation Info Extraction

Chang Liu

Trying to get actuation location from RoCo. Method 1: Write a new code for it Steps: Get motor information from .yaml file (e.g. "fs90r") Refer to dimensions.py for motor geometry information (e.g. "hornlength" etc) Refers to system input for "length", "width" and "height" for "bodylen...

20 May

RoCo Geometry Information Extraction

Chang Liu

Here is what we will need to extract from RoCo in order to construct simulation in Webots Updates In the above graph, green boxes have been implemented in RoCo. Now, for each component, we can extract vertices coordinate, facet normal, and coordinate index from RoCo. Example 1: for compone...

20 May

LAB 3D Scan point cloud

Zhaoliang Zheng

The lab 3D scan using LIDAR camera and the point cloud is shown in the following video:

13 May

Some lecture notes and materials about "Machine learning" and "algorithms"

Zhaoliang Zheng

Recently, I'm preparing the prelim topic regarding machine learning and algorithms. Here are some lecture notes that I found on-line: Machine learning https://www.u-aizu.ac.jp/~qf-zhao/TEACHING/ML/ML.html http://web.cs.ucla.edu/~sriram/courses/cm146.winter-2019/html/index.html Algorithms...

13 May

RoCo + Webots

Chang Liu

Updates: RoCo can save components separately, in .stl files Coordinate can be saved in .wbt required format in .txt files Facet normal can be saved in .wbt required format in .txt files Details Coordinate points of each component have been saved. Example: RoCo-Saved-Coord (left)...

07 May

Tests on the modules of optimization problems

Tsang-Kai Chang

The optimization based SLAM formulate the optimization problem with two kinds of constraints. First, the pre-integrated IMU error establishes the constraints between two spatial states, or two poses. The other one is the reprojection error that links a spatial state and a landmark. In the optimizati...

06 May

Consensus on a Quantum Network

Cody Fan

I have been thinking a bit on what consensus on a quantum network means and whether the solution for von Mises-Fisher consensus has any good application towards quantum information theory. There are 4 ways to define Consensus on a quantum network (Mazzarella, et al. 2015): Sigma Expectation Con...

06 May

LOGiCS Challenge Problem Slides

Pehuen Moure

"LOGiCS is a project funded by the DARPA program on Symbiotic Design of Cyber-Physical Systems. The aim of the project is to develop design tools and techniques that augment human designers with an AI co-designer towards achieving significant improvements in design productivity as well as design 'su...

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