1. [Publications](/index.php/publications)
2. DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
 
 # DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability

  ![Publication image](/sites/default/files/styles/wide/public/default_images/default.jpeg?itok=qUFsuJCP "Publication image")

 ## Authors



Xiaolin Fang (MIT CSAIL)

[Caelan Garrett](/index.php/person/caelan-garrett)

Clemens Eppner (NVIDIA)

Tomás Lozano-Pérez (MIT CSAIL)

Leslie Pack Kaelbling (MIT CSAIL)

Dieter Fox (NVIDIA)

 

 

 ## Publication Date



Monday, October 14, 2024

 

 ## Published in



[IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)](https://arxiv.org/abs/2306.13196)

 

 ## Research Area



[Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence)

[Robotics](/index.php/research-area/robotics)

 

 

 ## Awards



 Best Conference Paper Finalist

 Best Student Paper Finalist