Seungjae Baek

I am 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.

I am also a visiting researcher at the Carnegie Mellon University Robotics Institute (CMU RI), collaborating with Professor Sebastian Scherer in the AirLab.

My research focuses on informative path planning for robots, multi-robot systems, reinforcement learning, and reducing uncertainty in robotic decision-making.

Email / CV / GitHub / Google Scholar / LinkedIn

News

08/2025: Selected for the IEEE IES SYPA Travel Award for participation in IROS 2025.
08/2025: Joined the Carnegie Mellon University Robotics Institute as a visiting researcher (remote Mar–Jul 2025).
07/2025: Awarded the Korean Government Scholarship Program for Study Overseas (total USD 150,000 for the first three years of my PhD program).
06/2025: PIPE Planner was accepted to IROS 2025.
05/2025: Received the Industrial Innovation Talent Growth Support (Overseas Linkage) grant (total USD 21,500) from MOTIE and Korea University.

Older updates

Publications

* indicates equal contribution.

	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
	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), 587–595, 10.5302/J.ICROS.2024.24.0009* Paper \| GitHub

Preprints

	Prior-Constrained Explorative Guidance for Generalization in Diffusion Motion Planning Under Double-blind Review Submitted to IEEE International Conference on Robotics and Automation (ICRA) 2026
	Multi-Objective Deep Reinforcement Learning for Eco-Friendly Fleet Rebalancing in Autonomous Mobility-on-Demand Systems Under Double-blind Review Submitted to The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026)

Projects

	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
	Creating an Autonomous Vehicle with RoboRacer Implemented an autonomous race car platform as a team leader. Won 1st place in a university racing competition. Project-Based Learning (PBL) course MEN491, Feb. 2023 – Jul. 2023

Teaching & Working Experiences

	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 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

Korean Government Scholarship Program for Study Overseas (USD 150,000) — Government of the Republic of Korea

Industrial Innovation Talent Growth Support (Overseas Linkage) — Korea University (USD 21,500; funding for visiting research at CMU)

AI Excellence Global Innovative Leader Education Fellowship — Sogang University (USD 40,000 including tuition; funding for visiting research at CMU)

Government-funded Graduate Scholarship (2-year, fully funded)

UNIST Academic Performance Scholarship (4-year, fully funded)

Undergraduate Research Excellent Poster Session Award

Website Template from Jon Barron.