From the 1 of 106 linked papers with an AI index.
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GeminiPainter's sequence-formed pipeline comprised of perception, cognition, planning, and action stages
Miguel Altamirano Cabrera, Aleksey Fedoseev, Iana Zhura +1
We present an autonomous robotic portrait-generation system combining real-time face detection, AI-based sketch generation, and robotic drawing. The system captures video frames, e…
ORCESTRA: VLM-driven Visual Robot programming in Mixed Reality
Ivan Snegirev, Elizaveta Semenyakina, Mikhail Konenkov +3
ORCESTRA is a mixed-reality system for programming robot digital twins through no-code waypoint teaching and language-guided control. In a passthrough mixed-reality workspace, user…
OmniAI: A Surface-Adaptive Aerial Projection Interface for Human--Drone Interaction
Nikita Kuzmin, Yuhua Jin, Georgii Demianchuk +6
Drones in human environments often lack spatially grounded in- terfaces for situated communication. We present OmniAI, an em- bodied aerial agent that supports surface-adaptive int…
AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning
Iaroslav Kolomiets, Miguel Altamirano Cabrera, Artem Lykov +6
The paper presents AgenticFocus, a mixed-reality pipeline that turns ordinary first-person human videos into robot-ready demonstrations by reconstructing hidden object geometry, co…
H-RINS: Hierarchical Tightly-coupled Radar-Inertial State Estimation via Smoothing and Mapping
Ali Alridha Abdulkarim, Mikhail Litvinov, Dzmitry Tsetserukou
Millimeter-wave radar enables robust perception in visually degraded environments, yet radar-inertial estimation remains prone to drift: sparse body-frame velocity measurements wea…
VersualRL: Closed-Loop Verbal Reinforcement Learning with Visual Execution Feedback for Task-Level Robot Planning
Dmitrii Plotnikov, Iaroslav Kolomiets, Dmitrii Maliukov +9
We introduce VersualRL, a closed-loop framework for task-level robot planning that uses visual execution feedback to iteratively refine executable Behavior Trees through structured…