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Vignesh Kottayam Viswanathan

4 accepted papers

2026

An Adaptive Inspection Planning Approach towards Routine Monitoring in Uncertain Environments

Vignesh Kottayam Viswanathan, Yifan Bai, Scott Fredriksson, Gajanan Sumeet Satpute, Christoforos Kanellakis, George Nikolakopoulos
ICRA 2026poster

In this work, we present a hierarchical framework designed to support robotic inspection under environment uncertainty. By leveraging a known environment model, existing methods plan and safely track inspection routes to visit points of interest. However, discrepancies between the model and actual s…

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2025

An Actionable Hierarchical Scene Representation Enhancing Autonomous Inspection Missions in Unknown Environments

Vignesh Kottayam Viswanathan, Mario Alberto Valdes Saucedo, Sumeet Gajanan Satpute, Christoforos Kanellakis, George Nikolakopoulos
IROS 2025

In this article, we present the Layered Semantic Graphs (LSG), a novel actionable hierarchical scene graph, fully integrated with a multi-modal mission planner, the FLIE: A First-Look based Inspection and Exploration planner [1]. The novelty of this work stems from aiming to address the task of main

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2025

Estimating Commonsense Scene Composition on Belief Scene Graphs

Mario Alberto Valdes Saucedo, Vignesh Kottayam Viswanathan, Christoforos Kanellakis, George Nikolakopoulos
ICRA 2025

This work establishes the concept of commonsense scene composition, with a focus on extending Belief Scene Graphs by estimating the spatial distribution of unseen objects. Specifically, the commonsense scene composition capability refers to the understanding of the spatial relationships among relate

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2025

SPADE: Towards Scalable Path Planning Architecture on Actionable Multi-Domain 3D ScenE Graphs

Vignesh Kottayam Viswanathan, Akash Patel, Mario Alberto Valdes Saucedo, Sumeet Gajanan Satpute, Christoforos Kanellakis, George Nikolakopoulos
IROS 2025

In this work, we introduce SPADE, a path planning framework designed for autonomous navigation in dynamic environments using 3D scene graphs. SPADE combines hierarchical path planning with local geometric awareness to enable collision-free movement in dynamic scenes. The framework bifurcates the pla

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