5 papers
CognitiveReality: Robot-Agnostic Semantic Gaussian Mapping with an LLM Agent for Immersive Collaborative VR Teleoperation
Timofei Kozlov, Dmitrii Maliukov, Andrey Marchenko +3
A photorealistic 3D view tells a teleoperator where a robot is, but not what the scene contains, how well each object has been observed, or how to turn pointing and speech into rob…
Kintsugi-VLA: Turning Failed Robot Rollouts into Recovery Data through Interventional Recoverability
Ivan Snegirev, Elizaveta Semenyakina, Dmitrii Maliukov +2
Simulation enables scalable training of Vision-Language-Action policies by using privileged experts to generate visual demonstrations without requiring every trajectory to be colle…
GaussAnything: Semantic Intent-Driven Refinement of Evolving Gaussian Scenes for Standalone VR
Dmitrii Maliukov, Timofei Kozlov, Dmitrii Plotnikov +2
Deploying reconstructed 3D environments on standalone VR headsets are constrained by limited compute and memory, and conventional level-of-detail policies optimize for visibility w…
AnythingReality: Robust Online Gaussian Splatting SLAM for Open-Vocabulary VR Scene Exploration
Timofei Kozlov, Dmitrii Maliukov, Andrey Marchenko +2
We present a novel integrated architecture for robust online 3D Gaussian splatting, real-time VR exploration, and speech-driven Vision-Language-Model interaction. Unlike methods as…
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…