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.
Object-centric Video Prediction without Annotation
Karl Schmeckpeper*, Georgios Georgakis*, Kostas Daniilidis
IEEE Conference on Robotics and Automation (ICRA), 2021
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, and Chelsea Finn
Bernadette Bucher*, Karl Schmeckpeper*, Nikolai Matni, Kostas Daniilidis
arXiv preprint 2020.
Learning Predictive Models from Observation and Interaction
Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, and Chelsea Finn
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.
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.