Mingshan-Beal's Projects
This is a repository for recording the study process of 2021 Winter Camp of Cambridge Universiy. And it is mainly used machine learning and data process for programming and others.
My DIY Project
M1598.000200001-Actuation-and-Sensing-Mechanisms-for-Robots
[M3500.001500 001] This course is organized by AI department and opened in winter semester, 2022.
This is my finial project of 2021 Cambridge University Winter Camp. It's mainly about the autopilot which is used Turtlebot3 and some deeplearning algorithm.
BLDC Driver and Application: DRV8313, AS5600, STM32F103C8T6
Compliant Control: 1) admittance control algorithm 2) impedance control algorithm 3) hybrid force&position algorithm in robotic arm (Universal Robot).
Diverse and Stable Grasp[Code from other Research]
This is a collaborate project about dual collaborating arms in Hangzhou Inovation Institute, Beihang University. My advisor is Bing Han. In this project, I have used ros control for simulation and real robots based on Ethercat.
This is a project about grasping by robot arm UR5. It`s maily used RGB-D camera and movelt! to calculate the kinetic of robot.
HoloCubic超多功能AIO固件
This is the demo project mainly for the BUU ( Beijing Union University ) about the hybrid robot. It contains the moving platform and robot arm in 7 freedom.
Seoul Natioanl University@Control System 1 Course. Mainly including the Stability, Controllability, Observability, Kalman Filter, Linear Quadratic Regulator(LQR), Balanced and Reduced Controller, and some others.
Aggressive trajectory tracking using mavros for PX4 enabled vehicles
ROS support for the MiR Robots. This is a community project to use the MiR Robots with ROS. It is not affiliated with Mobile Industrial Robots.
This is the open source project of human and robot collaboration which exactly is the exoskeleton robot. This project has realized in the HRC Lab platform(Northeastern University, China).
Visuo-Tactile Sensor Enabled Pneumatic Device Towards Compliant Oropharyngeal Swab Sampling
My Personal CV using LaTex
PX4 Autopilot Software
This repository is mainly about the study of RNN and LSTM. There will be contained the study knowledge and code realization.
A Package Tool for Robotic
Motion Generation for Robots and Machines. Real-time. Jerk-constrained. Time-optimal.
[M3228.000300] The course studies a mobile platform where the platform moves in the environment to capture the sensor data from structures. The course covers the estimation problem as known as SLAM, including pose estimation of the moving platform, sensor modeling, and structure modeling from the incoming sensor data.