LeCAR-Lab/model-based-diffusion
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
Jupyter NotebookApache-2.0
Stargazers
- AlchemicRoninUniversity of Illinois Urbana-Champaign
- anindexTechnische Universität Darmstadt
- ariszxxuZhejiang University
- autogyro
- charmyoung@ZJU-FAST-Lab @RoboMaster
- ChaselLau666University of Science and Technology of China
- coding9991
- CUN-bjyKAIST AI
- ergo-zyhZhejiang University
- Ethan-nzw
- evanzijianhe
- GuanyaShiCarnegie Mellon University
- hany606Daejeon, South Korea
- hollydinkel@RMDLO
- iscoyizj
- jc-baoCarnegie Mellon University
- JSun950313
- JuneJulyAugustProgramming
- kevineen
- kshitizkhanal7@okfnepal Open Knowledge Nepal
- LeixinjonaschangZhejiang University
- MizuhoAOKINagoya University
- ogpoyrazoglu
- otsubo
- Pupillen@ZJU-FAST-Lab
- shaoanluTokyo, Japan
- simeon-nedInnopolis University
- TairanHeCarnegie Mellon University
- TheKnight-ZShanghai, China
- traversaroItalian Institute of Technology
- utopic-dev
- wbthomason@bdaiinstitute
- wuyongyiLambdaX
- Yongming-Yue
- ys-2020MIT
- zkingstonPurdue University