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Heckman, Christoffer Roger

Jacques I. Pankove Faculty Fellow

Positions

Research Areas research areas

Research

research overview

  • My research focuses on autonomy, perception, field robotics, machine learning and artificial intelligence. I direct the Autonomous Robotics and Perception Group, a dynamic and close-knit research team aiming to develop practical and explainable techniques in probabilistic artificial intelligence. My work in computer vision, machine learning and sensor fusion has applications to intelligence, defense, and environmental monitoring. Also, my robotics work is used by both government and industry partners in the development of autonomous vehicles, agricultural platforms and other mobile robots including for medicine, search & rescue, and automation.

keywords

  • machine learning, perception, robotics, computer vision, autonomous vehicles, artificial intelligence, generative AI, large language models

Publications

selected publications

Teaching

courses taught

  • ASEN 6950 - Master's Thesis
    Primary Instructor - Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021
  • CSCI 3202 - Introduction to Artificial Intelligence
    Primary Instructor - Fall 2018 / Spring 2021
    Surveys artificial intelligence techniques of search, knowledge representation and reasoning, probabilistic inference, machine learning, and natural language. Knowledge of Python strongly recommended. Same as CSPB 3202.
  • CSCI 4302 - Advanced Robotics
    Primary Instructor - Spring 2018 / Spring 2019 / Fall 2019 / Spring 2023
    An intensive exploration of major challenges in robotics, providing a hands-on review of current research topics in the context of a "robotics grand challenge" problem. Topics include online planning and control, state estimation, simultaneous localization and mapping, and operating under partial observability. Same as CSCI 5302.
  • CSCI 4830 - Special Topics in Computer Science
    Primary Instructor - Fall 2019
    Covers topics of interest in computer science at the senior undergraduate level. Content varies from semester to semester. Only 9 credit hours from CSCI 4830 and/or CSCI 4831 can count toward Computer Science BS or BA.
  • CSCI 4950 - Senior Thesis
    Primary Instructor - Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021 / Fall 2023 / Spring 2024
    Provides an opportunity for senior computer science majors to conduct exploratory research in computer science as an option for the capstone requirement. Department enforced prerequisites: 35 hours of Computer Science coursework including Foundation courses, Upper-Division writing, CS GPA 3.0. Department consent required, contact academic advisor for details. May be repeated up to 8 total credit hours.
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Background

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Github

  • crheckman