I am a 2nd year PhD student at the University of Pennsylvania. My research interests are focused around robotics, computer vision, and machine learning. I am a member of the GRASP lab and I am advised by Professor Kostas Daniilidis. I earned my Masters of Robotics in 2019 from the University of Pennsylvania.

Before coming to Penn, I worked at MIT Lincoln Laboratory. I completed my undergraduate degree in CS at University of Massachusetts Amherst.

Recent Work

Object-centric Video Prediction without Annotation

Karl Schmeckpeper*, Georgios Georgakis*, Kostas Daniilidis

IEEE Conference on Robotics and Automation (ICRA), 2021

Paper Code Video

Reinforcement Learning with Videos: Combining Offline Observations with Interaction

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

CoRL 2020.


Adversarial Curiosity

Bernadette Bucher*, Karl Schmeckpeper*, Nikolai Matni, Kostas Daniilidis

arXiv preprint 2020.

Website Paper

Learning Predictive Models from Observation and Interaction

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

ECCV 2020.

Website Paper arXiv Video (1min) Video (8min)

RoboNet: Large-Scale Multi-Robot Learning

Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, and Chelsea Finn

Conference on Robotic Learning 2019.

Website Paper

Visual Planning with Semi-Supervised Stochastic Action Representations

Karl Schmeckpeper, David Han, Kostas Daniilidis, and Oleh Rybkin

Workshop on Generative Modeling and Model-Based Reasoning for Robotics and AI at ICML, 2019.


Autonomous Precision Pouring from Unknown Symmetric Containers

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

IEEE Robotics and Automation Letters 2018.

Paper Video


karls (at) seas (dot) upenn (dot) edu

Google Scholar