Taegyeom Lee — accepted AI-conference papers

2026

Inverse Reachability Map Guided Motion Planning of Mobile Manipulator

JungHyun Choi, Taegyeom Lee, Myun Joong Hwang

ICRA 2026poster

Mobile manipulators must coordinate end-effector (EE) tracking and mobile base motion to perform manipulation tasks robustly. However, even when the same EE trajectory is feasible, different base poses can lead to substantially different manipulator configurations, manipulability levels, and proximi…

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2025

Imitation Learning Backoff: Reinforcement Learning-based Channel Access for Guaranteeing Fairness (Student Abstract)

Taegyeom Lee, Ohyun Jo

AAAI 2025technical

This paper addresses contention window optimization for multi-access scenarios. Our investigation into state-of-the-art models revealed that a limited number of nodes dominate the communication channels. Such monopolization issues are critical in networks as they can lead to significant disruptions…

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