1 citations · 1 across the 8 of their papers we have counts for
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EgoAVFlow: Robot Policy Learning with Active Vision from Human Egocentric Videos via 3D Flow
Daesol Cho, Youngseok Jang, Danfei Xu +1
Egocentric human videos provide a scalable source of manipulation demonstrations; however, deploying them on robots requires active viewpoint control to maintain task-critical visi…
ReaDy-Go: Real-to-Sim Dynamic 3D Gaussian Splatting Simulation for Environment-Specific Visual Navigation with Moving Obstacles
Seungyeon Yoo, Youngseok Jang, Dabin Kim +3
Visual navigation models often struggle in real-world dynamic environments due to limited robustness to the sim-to-real gap and the difficulty of training policies tailored to targ…
HERE: Hierarchical Active Exploration of Radiance Field with Epistemic Uncertainty Minimization
Taekbeom Lee, Dabin Kim, Youngseok Jang +1
We present HERE, an active 3D scene reconstruction framework based on neural radiance fields, enabling high-fidelity implicit mapping. Our approach centers around an active learnin…
Design and Operation of Autonomous Wheelchair Towing Robot
Hyunwoo Kang, Jaeho Shin, Jaewook Shin +2
In this study, a new concept of a wheelchair-towing robot for the facile electrification of manual wheelchairs is introduced. The development of this concept includes the design of…
Topology-Guided Path Planning for Reliable Visual Navigation of MAVs
Dabin Kim, Gyeong Chan Kim, Youngseok Jang +1
Visual navigation has been widely used for state estimation of micro aerial vehicles (MAVs). For stable visual navigation, MAVs should generate perception-aware paths which guarant…
Pose Correction Algorithm for Relative Frames between Keyframes in SLAM
Youngseok Jang, Hojoon Shin, H. Jin Kim
With the dominance of keyframe-based SLAM in the field of robotics, the relative frame poses between keyframes have typically been sacrificed for a faster algorithm to achieve onli…