People

Ajay Mandlekar
Research Area(s)
Artificial Intelligence and Machine Learning
Robotics
Main Field of Interest
Robotics
Google Scholar
https://scholar.google.com/citations?user=Wde2GwcAAAAJ&hl=en&authuser=1

Publications

2025

Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
Shuo Cheng, Liqian Ma, Zhenyang Chen, Ajay Mandlekar, Caelan Garrett, Danfei Xu
Conference on Neural Information Processing Systems
Latent Action Pretraining from Videos
Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Sejune Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo
International Conference on Learning Representations (ICLR) 2025

2024

NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors
Shuo Cheng, Caelan Garrett, Ajay Mandlekar, Danfei Xu
Conference on Robot Learning (CoRL)
SkillGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment
Caelan Garrett, Ajay Mandlekar, Bowen Wen, Dieter Fox
Conference on Robot Learning (CoRL)
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation
Zihan Zhou, Animesh Garg, Dieter Fox, Caelan Garrett, Ajay Mandlekar
Conference on Robot Learning (CoRL)
Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Ryan Hoque, Ajay Mandlekar, Caelan Garrett, Ken Goldberg, Dieter Fox
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

2023

Imitating Task and Motion Planning with Visuomotor Transformers
Murtaza Dalal, Ajay Mandlekar, Caelan Garrett, Ankur Handa, Ruslan Salakhutdinov, Dieter Fox
CoRL 2023
Human-In-The-Loop Task and Motion Planning for Imitation Learning
Ajay Mandlekar, Caelan Garrett, Danfei Xu, Dieter Fox
CoRL 2023