1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2024
LIKO: LiDAR, Inertial, and Kinematic Odometry for Bipedal Robots
Qingrui Zhao, Mingyuan Li, Yongliang Shi +8
High-frequency and accurate state estimation is crucial for biped robots. This paper presents a tightly-coupled LiDAR-Inertial-Kinematic Odometry (LIKO) for biped robot state estim…
cs.LG2023★ 1 cited
Improving Reliability of Fine-tuning with Block-wise Optimisation
Basel Barakat, Qiang Huang
Finetuning can be used to tackle domain-specific tasks by transferring knowledge. Previous studies on finetuning focused on adapting only the weights of a task-specific classifier…