21 citations · 119 across the 36 of their papers we have counts for
10 papers · 1 filter
Have We Scene It All? Scene Graph-Aware Deep Point Cloud Compression
Nikolaos Stathoulopoulos, Christoforos Kanellakis, George Nikolakopoulos
Efficient transmission of 3D point cloud data is critical for advanced perception in centralized and decentralized multi-agent robotic systems, especially nowadays with the growing…
Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1
Autonomous exploration of obstacle-rich spaces requires strategies that ensure efficiency while guaranteeing safety against collisions with obstacles. This paper investigates a nov…
An Adaptive Inspection Planning Approach Towards Routine Monitoring in Uncertain Environments
Vignesh Kottayam Viswanathan, Yifan Bai, Scott Fredriksson +3
In this work, we present a hierarchical framework designed to support robotic inspection under environment uncertainty. By leveraging a known environment model, existing methods pl…
Collaborative Task Assignment, Sequencing and Multi-agent Path-finding
Yifan Bai, Shruti Kotpalliwar, Christoforos Kanellakis +1
In this article, we address the problem of collaborative task assignment, sequencing, and multi-agent pathfinding (TSPF), where a team of agents must visit a set of task locations…
A Hierarchical Graph-Based Terrain-Aware Autonomous Navigation Approach for Complementary Multimodal Ground-Aerial Exploration
Akash Patel, Mario A. V. Saucedo, Nikolaos Stathoulopoulos +4
Autonomous navigation in unknown environments is a fundamental challenge in robotics, particularly in coordinating ground and aerial robots to maximize exploration efficiency. This…
Estimating Commonsense Scene Composition on Belief Scene Graphs
Mario A. V. Saucedo, Vignesh Kottayam Viswanathan, Christoforos Kanellakis +1
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. Specific…
SPADE: Towards Scalable Path Planning Architecture on Actionable Multi-Domain 3D Scene Graphs
Vignesh Kottayam Viswanathan, Akash Patel, Mario Alberto Valdes Saucedo +3
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 plann…
An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments
Ali Agha, Kyohei Otsu, Benjamin Morrell +86
This paper presents an appendix to the original NeBula autonomy solution developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), participating in the DARPA Sub…
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1
Autonomous exploration of cluttered environments requires efficient exploration strategies that guarantee safety against potential collisions with unknown random obstacles. This pa…
A Minimal Subset Approach for Informed Keyframe Sampling in Large-Scale SLAM
Nikolaos Stathoulopoulos, Christoforos Kanellakis, George Nikolakopoulos
Typical LiDAR SLAM architectures feature a front-end for odometry estimation and a back-end for refining and optimizing the trajectory and map, commonly through loop closures. Howe…