collaborators

6 papers

cs.RO2026

ReForesight: Occlusion-Robust Re-Identification and Future Occupancy Forecasting for Dynamic Semantic Mapping

Didar Seyidov, Faith Ogunwoye, Hajira Amjad +3

Robots sharing walkways need to know where people will be, yet semantic occupancy maps show only where they are. We present ReForesight, an open-source ROS 2 toolkit that adds inst…

cs.RO2026

AcousticDiffusion: Semantically Conditioned Audio-Guided Diffusion Policy for Search-and-Rescue Assistance

Iana Zhura, Didar Seyidov, Dmitrii Plotnikov +3

Navigating toward human callers is an important capability for rescue robots operating where visual contact is degraded or occluded. We present AcousticDiffusion, a semantically co…

cs.RO2026

SmellDiffusion: Diffusion-Based Quadruped Navigation with Olfactory Scene Graphs

Faith Ogunwoye, Iana Zhura, Hajira Amjad +5

A robot sent to a named gas leak must preserve gas identity, estimate the source, and navigate to the resulting goal. We present SmellDiffusion, a simulation pipeline that represen…

cs.RO2026

Guided Diffusion with Distilled Vision-Language Reliability for Aerial Navigation

Ivan Valuev, Iana Zhura, Valerii Serpiva +2

Autonomous UAV navigation is conventionally solved by pipelines that separate perception, mapping, and planning into distinct stages, which propagates errors, accumulates latency,…

cs.RO2026

DiffusionAnything: End-to-End In-context Diffusion Learning for Unified Navigation and Pre-Grasp Motion

Iana Zhura, Yara Mahmoud, Jeffrin Sam +4

Efficiently predicting motion plans directly from vision remains a fundamental challenge in robotics, where planning typically requires explicit goal specification and task-specifi…

cs.RO2025

EmbodiedDiffusion: End-to-End Traversability-Guided Visual Diffusion for Heterogeneous Robot Navigation

Iana Zhura, Sausar Karaf, Faryal Batool +7

Visual traversability estimation is central to autonomous navigation, yet most approaches either rely on prompt-driven Vision-Language Model (VLM) or decouple traversability from t…