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Donggun Lee

8 accepted papers

2026

Time-Series Data-Driven Three Dimensional Shape Control of Deformable Linear Objects Using a Dual-Arm Robot With Dynamic Model Updating

RA-L 2026

Deformable objects (DOs) are prevalent in everyday environments and represent important targets for robotic manipulation. However, their high degrees of freedom and complex nonlinear deformations make them more challenging to model and control than rigid objects when relying on traditional analytica

Cited by 0SourceScholar
2026

Time-Series Data-Driven Three Dimensional Shape Control of Deformable Linear Objects Using a Dual-Arm Robot with Dynamic Model Updating

ICRA 2026poster

Deformable objects(DOs) are prevalent in everyday environments and represent important targets for robotic manipulation. However, their high degrees of freedom and complex nonlinear deformations make them more challenging to model and control than rigid objects when relying on traditional analytical…

Cited by 0SourceScholar
2025

Certifiable Reachability Learning Using a New Lipschitz Continuous Value Function

RA-L 2025

We propose a new reachability learning framework for high-dimensional nonlinear systems, focusing on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">reach-avoid problems</i>. These problems require computing the <italic xmlns:mml="http://www.w3.org/1

Cited by 16SourcecodeScholar
2023

Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control

ICRA 2023poster

Autonomous vehicles (AVs) must share the driving space with other drivers and often employ conservative motion planning strategies to ensure safety. These conservative strategies can negatively impact AV's performance and significantly slow traffic throughput. Therefore, to avoid conservatism, we de…

Cited by 25SourceScholar
2023

RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation

ICRA 2023poster

A key challenge in fast ground robot navigation in 3D terrain is balancing robot speed and safety. Recent work has shown that 2.5D maps (2D representations with additional 3D information) are ideal for real-time safe and fast planning. However, the prevalent approach of generating 2D occupancy grids…

Cited by 15SourceScholar
2019

Removing Leaking Corners to Reduce Dimensionality in Hamilton-Jacobi Reachability

ICRA 2019poster

Hamilton-Jacobi (HJ) reachability provides a flexible framework for the verification of safety in robotic systems: it accounts for nonlinear system dynamics and provides safety-preserving controllers. However, computational scalability limits its direct application to systems of less than five conti…

Cited by 14SourceScholar
2019

Robust Trajectory Planning for a Multirotor against Disturbance based on Hamilton-Jacobi Reachability Analysis

IROS 2019poster

Ensuring safety in trajectory planning of multirotor systems is an essential element for risk-free operation. Even if the generated trajectory is known to be safe in the planning phase, unknown disturbance during an actual operation can lead to a dangerous situation. This paper proposes safety-guara…

Cited by 36SourceScholar