I am a 1st 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 UPenn, I worked at MIT Lincoln Laboratory. I completed my undergraduate thesis at University of Massachusetts Amherst under Professor Roderic A. Grupen.

Recent Work

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.

Paper


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