21 citations · 119 across the 36 of their papers we have counts for
39 papers
Towards Spatial Perception for Heterogeneous Robot Collaboration in Subterranean Mining Environments
Mario Alberto Valdes Saucedo, Akash Patel, Christoforos Kanellakis +1
The autonomous extraction of deep mineral deposits in abandoned underground mines is fundamentally a multi-agent integration problem. No single platform simultaneously offers the m…
Estimating Semantic Ambiguity via Gaussian Context Distributions for VLM-Driven Traversability Analysis
Ramona Häuselmann, Mario A. V. Saucedo, Christoforos Kanellakis +1
Autonomous navigation in unstructured environments requires robust scene understanding, yet Vision-Language Models (VLMs) often suffer from semantic ambiguity, where conflicting pr…
Safe Heterogeneous Multi-Agent RL with Communication Regularization for Coordinated Target Acquisition
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1
This paper introduces a decentralized multi-agent reinforcement learning framework enabling structurally heterogeneous teams of agents to jointly discover and acquire randomly loca…
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…