Seungjae Baek

Email: seungjab (at) andrew.cmu.edu

I am an incoming PhD student at the Carnegie Mellon University Robotics Institute (CMU RI), starting in Fall 2026. I am very fortunate to be supported by the Korean Government Scholarship Program for Study Overseas during my PhD degree.

I am currently a master's student in the Graduate School of Artificial Intelligence (AIGS) at Ulsan National Institute of Science and Technology (UNIST), advised by Professor Jeong hwan Jeon in the Robotics and Mobility Lab (RML).

I was a visiting researcher at the CMU RI, where I collaborate with Professor Sebastian Scherer and the AirLab (Aug. 2024 - Jan. 2026; Remote: Mar. 2025 - Jul. 2025). My research focuses on robot learning, informative path planning, and multi-robot systems, with an emphasis on robust autonomy in real-world environments.

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News

  • 04/2026: Accepted a PhD offer from the Carnegie Mellon University Robotics Institute for Fall 2026.
  • 01/2026: PCEG was accepted to ICRA 2026.
  • 10/2025: Received the IEEE IES SYPA Travel Award for participation in IROS 2025 (USD 1,500).
  • 08/2025: Received the Industrial Innovation Talent Growth Support (Overseas Linkage) grant (USD 21,500; Aug. 2025 – Jan. 2026).
  • 07/2025: Awarded the Korean Government Scholarship Program for Study Overseas (USD 150,000; expected Aug. 2026 – Aug. 2029).

Older posts

Publications

* indicates equal contribution.

PCEG animation Prior-Constrained Explorative Guidance for Generalization in Diffusion Motion Planning
Sunhwi Kim, Junsu Kim, Seungjae Baek, Jungeun Lee, Jaechan Shin, Seongjae Lee, Kyungdon Joo, Jeong hwan Jeon
IEEE International Conference on Robotics and Automation (ICRA) 2026
Project Page
PIPE animation PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration
Seungjae Baek*, Brady Moon*, Seungchan Kim*, Muqing Cao, Cherie Ho, Sebastian Scherer, Jeong hwan Jeon
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025
Project Page | Paper | GitHub
ICROS journal Cooperative Multi-Agent Reinforcement Learning for Multiple Anti-Aircraft Target Surveillance
Kangbeen Lee*, Seungjae Baek*, Philjoon Jung, Tae-Hyun Kim, Jeong hwan Jeon
Journal of Institute of Control, Robotics and Systems, 30(6)
Paper | GitHub

Preprints

drl_rideshare Manuscript of Deep RL-based AMoD
Under Double-blind Review as a co-first author
Submitted to the 35th International Joint Conference on Artificial Intelligence (IJCAI 2026)

Projects

shimizu drone Autonomous Drone Mapping Pipeline for Construction Monitoring
Dockerized SLAM for reproducible deployments and integrated multi-sensor and comms modules to enable autonomous mapping and data gathering.
Aug. 2025 – Jan. 2026
DRL rideshare Real-Time Traffic Routing with Carbon Emission and Travel Demand Optimization
Developed an eco-friendly AMoD fleet rebalancing framework using deep multi-agent reinforcement learning.
Feb. 2024 – Dec. 2024
F1TENTH Creating an Autonomous Vehicle with RoboRacer
Project-Based Learning (PBL) course MEN491, implemented an autonomous race car platform as a team leader. Won 1st place in a university racing competition.
Feb. 2023 – Jul. 2023

Teaching & Working Experiences

UNIST ITP117 Introduction to AI Programming II
Ulsan National Institute of Science and Technology
Head Teaching Assistant, Spring 2024

EEE351 Automatic Control
Ulsan National Institute of Science and Technology
Student Organization's Student Lecturer, Fall 2022
Clinomics Clinomics Inc.
Project-Based Learning (PBL) Teaching Assistant, Feb. 2023 – Jul. 2023

Achievements

IEEE IES SYPA Travel Award (IROS 2025) (USD 1,500) — IEEE Industrial Electronics Society (Oct. 2025)

Korean Government Scholarship Program for Study Overseas (USD 150,000) — Government of the Republic of Korea (Aug. 2026 – Aug. 2029, expected)

Industrial Innovation Talent Growth Support (Overseas Linkage) (USD 21,500) — Korea University (Aug. 2025 – Jan. 2026)

AI Excellence Global Innovative Leader Education Program (USD 40,000 incl. tuition) — Sogang University (Aug. 2024 – Feb. 2025)

Government-funded Graduate Scholarship (2-year, fully funded) — Ministry of Science and ICT (Aug. 2023 – Aug. 2025)

UNIST Academic Performance Scholarship (4-year, fully funded) — UNIST (Feb. 2017 – Aug. 2023)

Undergraduate Research Excellent Poster Session Award — UNIST (Jul. 2023)

Services

Reviewer: IROS (2025), ICRA (2026), RA-L


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