Hi, I’m Ruiqi, the teaching assistant of CIVL6059. Welcome to choose this mini-project.
Master the kinematic and constraints modeling for the industrial robotic arm (Problem description).
Attain expertise in an optimization algorithm, e.g., particle swarm optimization or model predictive control (Methodology).
Gain proficiency in a robotic arm simulation environment, e.g., Omniverse or Unity (Validation).
Optimization algorithms: particle swarm optimization, model predictive control
Certain useful robotic arm sources and simulation codes will updated at this repository.
Kinematics
After a survey of everyone’s hardware, the simulation environment templates will be provided in Coppeliasim.
Specific installations steps (for windows) can be refer to here.
You can find the template here.
A tutorial on Coppeliasim can be found here
You can find the user manual here.
The recommended task is to assemble the simulated construction modules, as research from ETH
To projects which use the provided template, the following task design are recommended. Before running the simulation:
The result of assembling the construction modules should be:
The template contains a total of 10 modules, the sequence of installation should be carefully considered.
This repository is ONLY for the course assessment of students enrolled in CIVL6059. Please notify me if you have any other requests.
If you have any inquiries, please feel free to send them to jiang_ruiqi AT connect DOT hku DOT hk.