3 papers
cs.RO2026
GaussianFlow SLAM: Monocular Gaussian Splatting SLAM Guided by GaussianFlow
Dong-Uk Seo, Jinwoo Jeon, Eungchang Mason Lee +1
Gaussian splatting has recently gained traction as a compelling map representation for SLAM systems, enabling dense and photo-realistic scene modeling. However, its application to…
cs.RO2026
AIM-SLAM: Dense Monocular SLAM via Adaptive and Informative Multi-View Keyframe Prioritization with Foundation Model
Jinwoo Jeon, Dong-Uk Seo, Eungchang Mason Lee +1
Recent advances in geometric foundation models have emerged as a promising alternative for addressing the challenge of dense reconstruction in monocular visual simultaneous localiz…
cs.RO2022
Retro-RL: Reinforcing Nominal Controller With Deep Reinforcement Learning for Tilting-Rotor Drones
I Made Aswin Nahrendra, Christian Tirtawardhana, Byeongho Yu +2
Studies that broaden drone applications into complex tasks require a stable control framework. Recently, deep reinforcement learning (RL) algorithms have been exploited in many stu…