Scholar

Jonathan C Balloch

Google Scholar ID: VvRLorQAAAAJ

Georgia Institute of Technology

RoboticsComputer Vision

Citations & Impact

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Citations

480

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Publications

Co-authors

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Contact

Publications

20 items

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Resume (English only)

Academic Achievements

Gave a long talk at the AAAI 2022 Spring Symposium on Designing Artificial Intelligence for Open Worlds; began a summer internship at SRI International in May 2021, working on using reinforcement learning to learn generative models for generating interpretable multi-agent policies based on Behavior Trees; had work on Semi-Supervised Continual Learning accepted to IJCNN in April 2021; awarded a Public Interest Technology Universities Network (PITUN) Fellowship in March 2020; won the FetchIt!: The Mobile Manipulation Challenge with fellow collaborators in the Robot Autonomy and Interactive Learning (RAIL) lab led by Sonia Chernova at Georgia Tech in July 2019; had work on Robot Tool Macguyvering accepted to ICRA in February 2019; began a summer internship at Google AI in the Mobile Vision Group in May 2018, developing low-shot learning methods with intelligent batch construction using online importance sampling; attended RSS 2017 in Boston to present work using synthetic data to improve semantic segmentation at the Workshop on New Frontiers for Deep Learning in Robotics and the Workshop on Spatial Semantic Representations in Robotics in July 2017.

Research Experience

Before his Ph.D., he was a Robotics Engineer at Intelligent Automation, Inc. in Rockville, MD, focusing on autonomous vehicle and smart device solutions under DoD research grants, specializing in creating sliding autonomy systems for teleoperators to interactively teach robots tasks and using computer vision to improve teleoperation of field robots.

Education

Completed his Ph.D. at Georgia Institute of Technology in the Entertainment Intelligence and Human-Centered AI (EI+HCAI) Labs under Dr. Mark Riedl. He also collaborated with Professors Irfan Essa, Sonia Chernova, and Zsolt Kira. Previously, he earned a Master's Degree in Robotics from the University of Pennsylvania and a Bachelor's Degree in Physics and Mathematics from Georgetown University.

Background

An applied research scientist and engineer developing solutions with reinforcement learning, robotics, and AI. His work focuses on enabling interactive AI agents to perceive, understand, and adapt to our ever-changing world.

Miscellany