4 papers
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…
ObsGraph: Hierarchical Observation Representation for Embodied Reasoning and Exploration
Taekbeom Lee, Youngseok Jang, Jeonghwa Heo +2
Embodied reasoning and exploration are increasingly considered crucial abilities for robots operating in complex and unfamiliar environments. To accomplish tasks in such settings,…
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…
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…