Youngjun Joo

2 accepted papers

2025

Inverse Kinematics for Robot Arm Using Minimum Mean Square Error

Changeui Shin, Junho Park, Woong Jeong, Jaewook Lee, YoungJun Joo, HoSeong Kwak

IROS 2025

This paper considers the inverse kinematics problem of a robotic arm applying minimum mean square error with variance-based control. The proposed algorithm achieves optimal results by minimizing the average error, even when considering variance calculations. Its performance is comparable to that of

Cited by 0 Source ↗Scholar ↗

2024

Spectral Trade-Off for Measurement Sparsification of Pose-Graph SLAM

Jiyeon Nam, Soojeong Hyeon, Youngjun Joo, DongKi Noh, Hyungbo Shim

RA-L 2024

In this letter, we propose a trade-off optimization algorithm to compute an appropriate number of edges for measurement (edge) sparsification in pose-graph simultaneous localization and mapping (SLAM). The greater the amount of measurement data, the larger is the computational burden. To reduce comp

Cited by 6 Source ↗Scholar ↗