ir-lab / alpha-mdf Goto Github PK
View Code? Open in Web Editor NEWCodebase for α-MDF at CoRL 2023
License: MIT License
Codebase for α-MDF at CoRL 2023
License: MIT License
I haven't found the 'real_train_data.pkl','real_test_data.pkl','UR5_push_data_train.pkl','UR5_push_data_test.pkl','UR5_sim_data_train.pkl','UR5_sim_data_test.pkl'. Could you tell me how to get them. Thanks 。:.゚ヽ(。◕‿◕。)ノ゚.:。+゚
In engine_UR5.py
line 454 pred = output[1] # -> final estimation
Is it the estimation for 7 joint angles and 3 end-effector positions in different steps?
If it is , how to distinguish between joint angles and end-effector positions
Thanks ya O(∩_∩)O
I've tried to calculate the MAE using the code below. However, the result is very different from table 2 in the paper.
alpha-MDF/latent_space/engine_UR5.py
Line 471 in c5d6cf4
If the 'state' obtained by online_test in engine_UR5.py(i.e. the code cited above) cannot be directly used to calculate MAE, do other data processing need to be performed before calculating MAE?
In addition, is MAE obtained by using all joint angles?
Hello,I haven't found the visualization.
Could you also release the way for getting Fig 5 in the paper (which predicted the joint angle trajectories and the corresponding accumulated attention values for each modality).
Thanks!! This repo will make a great contribution to my graduation.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.