Schmeckpeper, Karl

8 publications

CoRL 2024 IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters

CoRL 2024 Theia: Distilling Diverse Vision Foundation Models for Robot Learning Jinghuan Shang, Karl Schmeckpeper, Brandon B. May, Maria Vittoria Minniti, Tarik Kelestemur, David Watkins, Laura Herlant

CVPR 2023 EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas Guibas, Kostas Daniilidis

CVPR 2022 Cross-Modal mAP Learning for Vision and Language Navigation Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis

ICLR 2022 Learning to mAP for Active Semantic Goal Navigation Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis

ECCV 2020 Learning Predictive Models from Observation and Interaction Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn

CoRL 2020 Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn

CoRL 2019 RoboNet: Large-Scale Multi-Robot Learning Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn