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Donghoon Baek

9 accepted papers

2024

Online Learning-Based Inertial Parameter Identification of Unknown Object for Model-Based Control of Wheeled Humanoids

RA-L 2024

Identifying the dynamic properties of manipulated objects is essential for safe and accurate robot control. Most methods rely on low-noise force-torque sensors, long exciting signals, and solving nonlinear optimization problems, making the estimation process slow. In this work, we propose a fast, on

Cited by 7SourceScholar
2024

Toward Control of Wheeled Humanoid Robots with Unknown Payloads: Equilibrium Point Estimation via Real-to-Sim Adaptation

IROS 2024poster

Model-based controllers using a linearized model around the system’s equilibrium point is a common approach in the control of a wheeled humanoid due to their less computational load and ease of stability analysis. However, controlling a wheeled humanoid robot while it lifts an unknown object present…

Cited by 0SourceScholar
2023

A Study of Shared-Control With Bilateral Feedback for Obstacle Avoidance in Whole-Body Telelocomotion of a Wheeled Humanoid

RA-L 2023

Teleoperation has emerged as an alternative solution to fully-autonomous systems for achieving human-level capabilities on humanoids. Specifically, teleoperation with whole-body control is a promising hands-free strategy to command humanoids but requires more physical and mental demand. To mitigate

Cited by 7SourceScholar
2022

Hands-free Telelocomotion of a Wheeled Humanoid

IROS 2022poster

Robotic systems capable of Dynamic Mobile Manipulation (DMM) tasks combine dynamic manipulation and locomotion and could facilitate dangerous or physically demanding labor. For instance, firefighter humanoid robots could leverage their body by leaning against collapsed building rubble to push it asi…

Cited by 8SourceScholar
2022

Hybrid LMC: Hybrid Learning and Model-based Control for Wheeled Humanoid Robot via Ensemble Deep Reinforcement Learning

IROS 2022poster

Control of wheeled humanoid locomotion is a challenging problem due to the nonlinear dynamics and under-actuated characteristics of these robots. Traditionally, feedback controllers have been utilized for stabilization and locomotion. However, these methods are often limited by the fidelity of the u…

Cited by 14SourceScholar
2022

ViO-Com: Feed-Forward Compensation Using Vision-Based Optimization for High-Precision Surgical Manipulation

RA-L 2022

Tendon-sheath mechanisms offer a means for a flexible surgical robot to be operated efficiently in restricted environments, for example, the long and narrow paths inside human organs. However, nonlinear hysteresis interferes with the precise motion control of a flexible robot. Generally, the charact

Cited by 10SourceScholar
2020

Hysteresis Compensator With Learning-Based Hybrid Joint Angle Estimation for Flexible Surgery Robots

RA-L 2020

Hysteresis causes difficulties in precisely controlling motion of flexible surgery robots and degrades the surgical performance. In order to reduce hysteresis, model-based feed-forward and feedback-based methods using endoscopic cameras have been suggested. However, model-based methods show limited

Cited by 19SourceScholar
2019

Hysteresis Compensator with Learning-based Pose Estimation for a Flexible Endoscopic Surgery Robot

IROS 2019poster

The use of the tendon-sheath mechanism (TSM) is common in flexible surgery robots, because it can flexibly work in limited spaces and provides efficient power transmission. However, hysteresis from nonlinearities such as friction and backlash poses a challenge in controlling precise motion in the su…

Cited by 10SourceScholar
2019

Shape-Locking Mechanism of Flexible Joint Using Mechanical Latch With Electromagnetic Force

RA-L 2019

Single-incision laparoscopic surgery (SILS) has emerged as a procedure to further improve cosmetic profits and reduce the postoperative pain of multiport laparoscopic surgery. However, SILS is a difficult operation due to the limited workspace or accessibility. To improve surgical convenience, flexi

Cited by 20SourceScholar