Recent Posts

7/12/2021 – Grateful to be selected as an Inclusion@RSS Fellow for RSS 2021!

7/1/2021 – Congrats to Vicky Zeng! Her recent paper, “Visual Identification of Articulated Object Parts”, was accepted to IROS 2021!

6/1/2021 – Thrilled to help co-organize the “Learning By Doing” NeurIPS 2021 Competition! Excited to bring together researchers and practitioners in control theory, reinforcement learning, and causality!

4/19/2021 – Siddharth Girdhar received a Summer Undergraduate Research Fellowship (SURF) for his proposal on Causal Dynamics Models. Way to go, Sid! Looking forward to collaborating this summer!

4/10/2021 – Vicky Zeng’s IROS 2021 submission, “Visual Identification of Articulated Object Parts”, is now available on arXiv. Best of luck for acceptance!

2/28/2021 – My paper submission to ICRA 2021, “Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies”, has been accepted! Thanks so much to my collaborators for your hard work – this one feels great!

2/12/2021 – Excited to kick off the pilot course of 15-996: “Diversity, Equity, and Inclusion in Computer Science and Society” as a discussion moderator!

6/29/2020 – The source code for DREAM (my NVIDIA internship work) is officially released on GitHub!

5/4/2020 – Vicky Zeng received a Summer Undergraduate Research Fellowship (SURF) for her proposal, “Visual Identification of Articulated Objects through a Large-Scale Dataset”. Excellent work! Looking forward to working with you this summer with Jacky Liang!

2/14/2020 – Gave a talk at the University of Maryland Robotics Center about my M.S. work in ROV state estimation. Thank you for the invitation to speak at my alma mater!

1/21/2020 – My NVIDIA summer internship work (“Camera-to-Robot Pose Estimation from a Single Image”) has been accepted to ICRA 2020!

11/22/2019 – My NVIDIA summer internship work (“Camera-to-Robot Pose Estimation from a Single Image”) is now publically released on arXiv. It is currently under review for ICRA 2020. Thanks to my collaborators at NVIDIA’s Seattle Robotics Lab, especially my mentors Jonathan Tremblay and Stan Birchfield, for the wonderful opportunity!

12/10/2018 – I have accepted a summer research internship with NVIDIA at the Seattle Robotics Lab, headed by Prof. Dieter Fox.

10/18/2018 – I have joined Prof. Oliver Kroemer and the IAM Lab for my Ph.D. research.

Recent Publications

My 15 publications (11 as first author) span the fields of robotics science and unmanned systems. Below are my most recent publications in robotics. More information about my publication history is available in my CV, including 1 master’s thesis, 2 journal publications, and 3 conference proceedings on aerodynamics science for unmanned aerial robots.

Publications:

V. Zeng, T. E. Lee*, J. Liang*, O. Kroemer. Visual Identification of Articulated Object Parts. IROS, 2021. *Equal contribution.

T. E. Lee, J. Zhao, A. S. Sawhney, S. Girdhar, O. Kroemer. Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies. ICRA, 2021.

. Camera-to-Robot Pose Estimation from a Single Image. ICRA, 2020.

PDF Project

. Celebrating the Past, Present, and Future of Computing. AI Matters, 2017.

PDF

. Automated, Integrated UAV Health Monitoring System: Flight Test Case Study. AHS Unmanned Rotorcraft and Network Centric Operations Specialists’ Meeting, 2013.

PDF Project

Selected Projects

Camera-to-Robot Pose Estimation from a Single Image

Developed an approach for camera calibration from a single RGB image of a robot manipulator. This was my internship project at NVIDIA during Summer 2019.

Self-Driving Car Localization

Developed localization algorithms and capabilities for Uber ATG’s self-driving cars as an intern during Summer 2018.

Vision-Based Localization for Robotic Inspection of Nuclear Reactors

Using a pan-tilt-zoom camera, a remotely operated vehicle (ROV) was accurately localized within a nuclear reactor, providing greater utility and assurance for reactor inspection operations. This project was my M.S. in Robotics thesis research.

Automated Health Monitoring for an Unmanned Helicopter

An automated, integrated health monitoring system was developed to improve the efficiency of flight test operations. I led this project while working for Boeing.

Teaching

Carnegie Mellon University

  • Discussion Moderator and Course Developer for 15-996: “Diversity, Equity, and Inclusion in Computer Science and Society” (Spring 2021)
  • Teaching Assistant for 16-740: “Learning for Manipulation” (Fall 2020)
  • Teaching Assistant for 16-662: “Robot Autonomy” (Spring 2019)

University of Maryland

  • Teaching Fellow for ENES 100: “Introduction to Engineering Design” (Spring 2007)
  • Teaching Assistant for EDCP 470: “Introduction to Student Personnel” (Spring 2006)

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