Education
- B.S. in Aerospace Engineering, MIT, 2019
- Minor in Music
- Advisor: Brian Williams
- GPA: 5.0 / 5.0
- M.S. in Aeronautics and Astronautics, MIT, 2021. GPA: 5.0 / 5.0
- Advisor: Luca Carlone
- Thesis: Robust and Lightweight Localization and Dense Mapping for Multi-Robot Systems
- GPA: 5.0 / 5.0
- Ph.D in Autonomy, MIT, 2025 (expected)
- Advisor: Luca Carlone
Work Experience
- 2019 - 2021: Perception Team
- Team CoSTAR (NASA JPL / MIT / Caltech, KAIST, LTU collaborative)
- Project: Built and maintained a lidar-based multi-robot simultaneous localization and mapping (SLAM) system for team CoSTAR as part of the system supporting a team of heterogeneous robots competing in the DARPA Subterranean Challenge: a competition where a team of robots have to autonomously find and localize objects in a GPS denied underground environment. website github
- 2016 - 2019: Undergraduate Researcher
- Model-based Embedded and Robotic Systems Group
- Project: Implemented risk-aware planning algorithms and assisted in the integration and deployment of the algorithms on quadcopters and turtlebots for experiments and data collection.
- Summer 2018: Perception Intern
- Aurora Flight Sciences
- Project: Designed an on-board system for an autonomous fixed wing aircraft to accurately track nearby air traffic by fusing received ADS-B air traffic control signals with visual aircraft detection from a pan-tilt camera.
- Summer 2017: Research Assistant
- Aerial Robotics Laboratory, Imperial College London
- Project: Developed and tested RGBD SLAM for aerial construction drones designed to demonstrate the possibility to 3D print buildings and disaster shelters using additive manufacturing techniques.
- 2015 - 2017: Undergraduate Researcher
- Aerospace Controls Lab
- Project: Contributed to the Mobility on Demand project, which looked into ways to deploy shared autonomous vehicles to maximize service quality for customers. Helped with the maintenance of sensors on a fleet of golf carts for both localization and mapping and also to collect ride-data from the customers.
Teaching
- 2023: TA for Aeroverse (Aerospace Engineering in Extended Reality)
- Worked with Professor Luca Carlone and Professor Olivier de Weck to design and teach MIT 16.S684, an experimental course that investigates whether AR / VR technologies improve the teaching of aerospace engineering concepts.
- 2020: TA for VNAV (Visual Navigation for Autonomous Vehicles)
- Worked with Professor Luca Carlone to teach MIT 16.485, a course about the mathematical foundations of visual navigation (spanning from geometry to optimization), state-of-the-art algorithms, and software packages.
Awards & Honors
- 2023: The MIT Prize for Open Data
- Honorable Mention: Kimera-Multi Dataset.
- 2023: IEEE Transactions on Robotics King-Sun Fu Memorial Best Paper Award
- The Henry Webb Salisbury Award for Superior Academic Performance
- Awarded by the MIT Department of Aeronautics and Astronautics for superior and multiple-dimensional academic achievements in the undergraduate program.
- The Andrew G. Morsa Memorial Award
- Awarded by the MIT Department of Aeronautics and Astronautics for exemplary work at the boundary between computation, algorithms, and aerospace engineering and for supporting teammates with dedication and technical ingenuity.
Skills
- Programming Language: C++, Python, MATLAB
- Libraries: ROS, CVX, GTSAM, OpenCV, CGAL, Open3D, OpenGV, PyTorch
- Languages: English, Mandarin
- Field Robotics: Sensor hardware, System integration, Basic networking
Publications
- Ebadi, K., Bernreiter, L., Biggie, H., Catt, G., Chang, Y., Chatterjee, A., Denniston, C. E., Deschênes, S.-P., Harlow, K., Khattak, S., Nogueira, L., Palieri, M., Petrác̆ek P., Petrlík, P., Reinke, A., Krátký, V., Zhao, S., Agha-mohammadi, A., Alexis, K., … Carlone, L. (2024). Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge. IEEE Trans. Robotics.
- Chang, Y., Ballotta, L., & Carlone, L. (2023). D-Lite: Navigation-Oriented Compression of 3D Scene Graphs under Communication Constraints. IEEE Robotics and Automation Letters (RA-L).
- Hughes, N., Chang, Y., Hu, S., Talak, R., Abdulhai, R., Strader, J., & Carlone, L. (2023). Foundations of Spatial Perception for Robotics: Hierarchical Representations and Real-time Systems. ArXiv Preprint: 2305.07154.
- Tian, Y., Chang, Y., Quang, L., Schang, A., Nieto-Granda, C., How, J. P., & Carlone, L. (2023). Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned. IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS).
- Chang, Y., Hughes, N., Ray, A., & Carlone, L. (2023). Hydra-Multi: Collaborative Online Construction of 3D Scene Graphs with Multi-Robot Teams. IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS).
- Chang, Y., Ebadi, K., Denniston, C., Ginting, M. F., Rosinol, A., Reinke, A., Palieri, M., Shi, J., A, C., Morrell, B., Agha-mohammadi, A., & Carlone, L. (2022). LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments. IEEE Robotics and Automation Letters (RA-L), 7(4).
- Denniston, C., Chang, Y., Reinke, A., Ebadi, K., Sukhatme, G., Carlone, L., Morrell, B., & Agha-mohammadi, A. (2022). Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM. IEEE Robotics and Automation Letters (RA-L).
- Reinke, A., Palieri, M., Morrell, B., Chang, Y., Ebadi, K., Carlone, L., & Agha-mohammadi, A. (2022). LOCUS 2.0: Robust and Computationally Efficient LiDAR Odometry for Real-Time Underground 3D Mapping. IEEE Robotics and Automation Letters (RA-L), 7(4), 9043–9050.
- A. Agha et al. (2022). NeBula: TEAM CoSTAR’s Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge. Field Robotics, 2, 1432–1506.
- Tian, Y., Chang, Y., Arias, F. H., Nieto-Granda, C., How, J. P., & Carlone, L. (2022). Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems. IEEE Trans. Robotics.
- Hughes, N., Chang, Y., & Carlone, L. (2022). Hydra: A Real-time Spatial Perception Engine for 3D Scene Graph Construction and Optimization. Robotics: Science and Systems (RSS).
- Rosinol, A., Violette, A., Abate, M., Hughes, N., Chang, Y., Shi, J., Gupta, A., & Carlone, L. (2021). Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs. Intl. J. of Robotics Research, 40(12–14), 1510–1546.
- Chang, Y., Tian, Y., How, J. P., & Carlone, L. (2021). Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping. IEEE Intl. Conf. on Robotics and Automation (ICRA).
- Lajoie, P., Ramtoula, B., Chang, Y., Carlone, L., & Beltrame, G. (2020). DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams. IEEE Robotics and Automation Letters (RA-L), 5(2), 1656–1663.
- Rosinol, A., Abate, M., Chang, Y., & Carlone, L. (2020). Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping. IEEE Intl. Conf. on Robotics and Automation (ICRA).
- Ebadi, K., Chang, Y., Palieri, M., Stephens, A., Hatteland, A., Heiden, E., Thakur, A., Morrell, B., Carlone, L., & Aghamohammadi, A. (2020). LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments. IEEE Intl. Conf. on Robotics and Automation (ICRA).