Karl Schmeckpeper

46 papers A* 8A 1Misc 4Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Residual Reinforcement Learning With Uncertainty Estimation. IEEE Robotics Autom. Lett. Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
2026	J	`jnl`	ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors. CoRR Zifan Xu, Ran Gong, Maria Vittoria Minniti, Ahmet Salih Gundogdu, Eric Rosen, Kausik Sivakumar, Riedana Yan, Zixing Wang, Di Deng, Peter Stone, Xiaohan Zhang, Karl Schmeckpeper
2026	J	`jnl`	SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning. CoRR Philip Schroeder, Thomas Weng, Karl Schmeckpeper, Eric Rosen, Stephen Hart, Ondrej Biza
2026	J	`jnl`	You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector. CoRR Omkar Patil, Ondrej Biza, Thomas Weng, Karl Schmeckpeper, Wil Thomason, Xiaohan Zhang, Robin Walters, Nakul Gopalan, Sebastian Castro, Eric Rosen
2025	J	`jnl`	Accelerating Residual Reinforcement Learning with Uncertainty Estimation. CoRR Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
2025	J	`jnl`	AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning. CoRR Ran Gong, Xiaohan Zhang, Jinghuan Shang, Maria Vittoria Minniti, Jigarkumar Patel, Valerio Pepe, Riedana Yan, Ahmet Gundogdu, Ivan Kapelyukh, Ali Abbas, Xiaoqiang Yan, Harsh Patel, Laura Herlant, Karl Schmeckpeper
2025	J	`jnl`	Data-Efficient Multitask DAgger. CoRR Haotian Fu, Ran Gong, Xiaohan Zhang, Maria Vittoria Minniti, Jigarkumar Patel, Karl Schmeckpeper
2025	A*	`conf`	On-Robot Reinforcement Learning with Goal-Contrastive Rewards. ICRA Ondrej Biza, Thomas Weng, Lingfeng Sun, Karl Schmeckpeper, Tarik Kelestemur, Yecheng Jason Ma, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong
2025	J	`jnl`	Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin for Real-World Robot Policy Evaluation. CoRR Jad Abou-Chakra, Lingfeng Sun, Krishan Rana, Brandon B. May, Karl Schmeckpeper, Maria Vittoria Minniti, Laura Herlant
2025	J	`jnl`	Sceniris: A Fast Procedural Scene Generation Framework. CoRR Jinghuan Shang, Harsh Patel, Ran Gong, Karl Schmeckpeper
2024	A*	`conf`	A Metacognitive Approach to Out-of-Distribution Detection for Segmentation. ICRA Meghna Gummadi, Cassandra Kent, Karl Schmeckpeper, Eric Eaton
2024	Misc	`conf`	IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies. CoRL Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters
2024	J	`jnl`	Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies. CoRR Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters
2024	J	`jnl`	On-Robot Reinforcement Learning with Goal-Contrastive Rewards. CoRR Ondrej Biza, Thomas Weng, Lingfeng Sun, Karl Schmeckpeper, Tarik Kelestemur, Yecheng Jason Ma, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong
2024	Misc	`conf`	Theia: Distilling Diverse Vision Foundation Models for Robot Learning. CoRL Jinghuan Shang, Karl Schmeckpeper, Brandon B. May, Maria Vittoria Minniti, Tarik Kelestemur, David Watkins, Laura Herlant
2024	J	`jnl`	Theia: Distilling Diverse Vision Foundation Models for Robot Learning. CoRR Jinghuan Shang, Karl Schmeckpeper, Brandon B. May, Maria Vittoria Minniti, Tarik Kelestemur, David Watkins, Laura Herlant
2023	J	`jnl`	A Metacognitive Approach to Out-of-Distribution Detection for Segmentation. CoRR Meghna Gummadi, Cassandra Kent, Karl Schmeckpeper, Eric Eaton
2023	A*	`conf`	EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision. CVPR Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas J. Guibas, Kostas Daniilidis
2023	J	`jnl`	EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision. CoRR Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas J. Guibas, Kostas Daniilidis
2022	J	`jnl`	An Intelligence Architecture for Grounded Language Communication with Field Robots. Field Robotics Thomas M. Howard, Ethan Stump, Jonathan Fink, Jacob Arkin, Rohan Paul, Daehyung Park, Subhro Roy, Daniel Barber, Rhyse Bendell, Karl Schmeckpeper, Junjiao Tian, Jean Oh, Maggie B. Wigness, Long Quang, Brandon Rothrock, Jeremy Nash, Matthew R. Walter, Florian Jentsch, Nicholas Roy
2022	—	`conf`	Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets. Robotics: Science and Systems Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine
2022	A*	`conf`	Cross-modal Map Learning for Vision and Language Navigation. CVPR Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis
2022	J	`jnl`	Cross-modal Map Learning for Vision and Language Navigation. CoRR Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis
2022	J	`jnl`	Human-Scale Mobile Manipulation Using RoMan. Field Robotics Chad C. Kessens, Matthew Kaplan, Trevor Rocks, Philip R. Osteen, John G. Rogers, Ethan Stump, Arnon Hurwitz, Jonathan Fink, Long Quang, Mark Gonzalez, Jaymit Patel, Michael Diblasi, Shiyani Patel, Matthew Weiker, Dilip Patel, Joseph Bowkett, Renaud Detry, Sisir Karumanchi, Larry H. Matthies, Joel Burdick, Yash Oza, Aditya Agarwal, Andrew Dornbush, Dhruv Saxena, Maxim Likhachev, Karl Schmeckpeper, Kostas Daniilidis, Ajinkya Kamat, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
2022	A*	`conf`	Learning to Map for Active Semantic Goal Navigation. ICLR Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis
2022	J	`jnl`	Reactive navigation in partially familiar planar environments using semantic perceptual feedback. Int. J. Robotics Res. Vasileios Vasilopoulos, Georgios Pavlakos, Karl Schmeckpeper, Kostas Daniilidis, Daniel E. Koditschek
2022	J	`jnl`	Semantic keypoint-based pose estimation from single RGB frames. CoRR Karl Schmeckpeper, Philip R. Osteen, Yufu Wang, Georgios Pavlakos, Kenneth Chaney, Wyatt Jordan, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis
2022	J	`jnl`	Semantic keypoint-based pose estimation from single RGB frames. Field Robotics Karl Schmeckpeper, Philip R. Osteen, Yufu Wang, Georgios Pavlakos, Kenneth Chaney, Wyatt Jordan, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis
2022	A*	`conf`	Uncertainty-driven Planner for Exploration and Navigation. ICRA Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis
2022	J	`jnl`	Uncertainty-driven Planner for Exploration and Navigation. CoRR Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis
2021	A	`conf`	An Adversarial Objective for Scalable Exploration. IROS Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis
2021	J	`jnl`	Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets. CoRR Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine
2021	A*	`conf`	Deformable Linear Object Prediction Using Locally Linear Latent Dynamics. ICRA Wenbo Zhang, Karl Schmeckpeper, Pratik Chaudhari, Kostas Daniilidis
2021	J	`jnl`	Deformable Linear Object Prediction Using Locally Linear Latent Dynamics. CoRR Wenbo Zhang, Karl Schmeckpeper, Pratik Chaudhari, Kostas Daniilidis
2021	J	`jnl`	Learning to Map for Active Semantic Goal Navigation. CoRR Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis
2021	A*	`conf`	Object-centric Video Prediction without Annotation. ICRA Karl Schmeckpeper, Georgios Georgakis, Kostas Daniilidis
2021	J	`jnl`	Object-centric Video Prediction without Annotation. CoRR Karl Schmeckpeper, Georgios Georgakis, Kostas Daniilidis
2020	J	`jnl`	Action for Better Prediction. CoRR Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis
2020	—	`conf`	Learning Predictive Models from Observation and Interaction. ECCV (20) Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn
2020	J	`jnl`	Reactive Navigation in Partially Familiar Planar Environments Using Semantic Perceptual Feedback. CoRR Vasileios Vasilopoulos, Georgios Pavlakos, Karl Schmeckpeper, Kostas Daniilidis, Daniel E. Koditschek
2020	Misc	`conf`	Reinforcement Learning with Videos: Combining Offline Observations with Interaction. CoRL Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn
2020	J	`jnl`	Reinforcement Learning with Videos: Combining Offline Observations with Interaction. CoRR Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn
2019	J	`jnl`	Autonomous Precision Pouring From Unknown Containers. IEEE Robotics Autom. Lett. Monroe Kennedy, Karl Schmeckpeper, Dinesh Thakur, Chenfanfu Jiang, Vijay Kumar, Kostas Daniilidis
2019	J	`jnl`	Learning Predictive Models From Observation and Interaction. CoRR Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn
2019	Misc	`conf`	RoboNet: Large-Scale Multi-Robot Learning. CoRL Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn
2019	J	`jnl`	RoboNet: Large-Scale Multi-Robot Learning. CoRR Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn