Karl Schmeckpeper

According to our database, Karl Schmeckpeper authored at least 30 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning.

Lakshita Dodeja, Ondrej Biza, Shivam Vats, Stephen Hart, Stefanie Tellex, Robin Walters, Karl Schmeckpeper, Thomas Weng

CoRR, May, 2026

SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning.

Philip Schroeder, Thomas Weng, Karl Schmeckpeper, Eric Rosen, Stephen Hart, Ondrej Biza

CoRR, March, 2026

ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors.

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

CoRR, March, 2026

You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector.

Omkar Patil, Ondrej Biza, Thomas Weng, Karl Schmeckpeper, Wil Thomason, Xiaohan Zhang, Robin Walters, Nakul Gopalan, Sebastian Castro, Eric Rosen

CoRR, March, 2026

Accelerating Residual Reinforcement Learning With Uncertainty Estimation.

Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex

IEEE Robotics Autom. Lett., January, 2026

2025

AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning.

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

CoRR, December, 2025

Sceniris: A Fast Procedural Scene Generation Framework.

Jinghuan Shang, Harsh Patel, Ran Gong, Karl Schmeckpeper

CoRR, December, 2025

Data-Efficient Multitask DAgger.

Haotian Fu, Ran Gong, Xiaohan Zhang, Maria Vittoria Minniti, Jigarkumar Patel, Karl Schmeckpeper

CoRR, September, 2025

Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin for Real-World Robot Policy Evaluation.

Jad Abou-Chakra, Lingfeng Sun, Krishan Rana, Brandon B. May, Karl Schmeckpeper, Maria Vittoria Minniti, Laura Herlant

CoRR, April, 2025

On-Robot Reinforcement Learning with Goal-Contrastive Rewards.

Ondrej Biza, Thomas Weng, Lingfeng Sun, Karl Schmeckpeper, Tarik Kelestemur, Yecheng Jason Ma, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

A Metacognitive Approach to Out-of-Distribution Detection for Segmentation.

Meghna Gummadi, Cassandra Kent, Karl Schmeckpeper, Eric Eaton

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 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

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision.

Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas J. Guibas, Kostas Daniilidis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Semantic keypoint-based pose estimation from single RGB frames.

Karl Schmeckpeper, Philip R. Osteen, Yufu Wang, Georgios Pavlakos, Kenneth Chaney, Wyatt Jordan, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis

Field Robotics, March, 2022

Human-Scale Mobile Manipulation Using RoMan.

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

Field Robotics, March, 2022

An Intelligence Architecture for Grounded Language Communication with Field Robots.

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

Field Robotics, March, 2022

Reactive navigation in partially familiar planar environments using semantic perceptual feedback.

Vasileios Vasilopoulos, Georgios Pavlakos, Karl Schmeckpeper, Kostas Daniilidis, Daniel E. Koditschek

Int. J. Robotics Res., 2022

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets.

Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Uncertainty-driven Planner for Exploration and Navigation.

Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning to Map for Active Semantic Goal Navigation.

Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis

Proceedings of the Tenth International Conference on Learning Representations, 2022

Cross-modal Map Learning for Vision and Language Navigation.

Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

An Adversarial Objective for Scalable Exploration.

Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deformable Linear Object Prediction Using Locally Linear Latent Dynamics.

Wenbo Zhang, Karl Schmeckpeper, Pratik Chaudhari, Kostas Daniilidis

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Object-centric Video Prediction without Annotation.

Karl Schmeckpeper, Georgios Georgakis, Kostas Daniilidis

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Action for Better Prediction.

Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis

CoRR, 2020

Learning Predictive Models from Observation and Interaction.

Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn

Proceedings of the Computer Vision - ECCV 2020, 2020

Reinforcement Learning with Videos: Combining Offline Observations with Interaction.

Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Autonomous Precision Pouring From Unknown Containers.

Monroe Kennedy, Karl Schmeckpeper, Dinesh Thakur, Chenfanfu Jiang, Vijay Kumar, Kostas Daniilidis

IEEE Robotics Autom. Lett., 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

Proceedings of the 3rd Annual Conference on Robot Learning, 2019