RrQq's repositories
TableRearrangement
Efficient and accurate object grasping and placement in open hybrid scenes is an important frontier research hotspot in the field of robotics and artificial intelligence in recent years. It has extensive and important application requirements in the fields of industrial manufacturing, home services, etc. Our project takes the intelligent completion of desktop sorting by robots as the typical scene to carry out relevant research. It is proposed to realize the complete perception of objects through independent exploration of the environment, and then reasonably plan the motion trajectory as the research idea. The main contents are as follows: 1. Perceptual recognition and pose estimation of target object combined with autonomous environment exploration; 2. Optimal trajectory planning of manipulator considering object state and collision; 3. Development and demonstration verification of manipulator desktop finishing integrated system.
NavigationProject
智能移动技术导航实践作业代码及log文件
GX2022
2022年大学生工程训练大赛代码库
ImageStyleTransfer
Image Style Transfer Based on Cycle-GAN
NumberRecognition
A handwritten numeral recognizer with MATLAB.
push_grasping
SRTP
RrQq
Config files for my GitHub profile.