36 citations · 96 across the 60 of their papers we have counts for
62 papers
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…
InLiER: Learning-Free Heterogeneous LiDAR Place Recognition via Intermediate Mixed-Radix Structural Keypoint Tokenization
Nikolaos Stathoulopoulos, George Nikolakopoulos
LiDAR place recognition supports loop closure, relocalization, and multi-agent map management. As robotic platforms increasingly combine LiDARs with different fields of view, resol…
Varying Bundle Size Reactive Multi-Task Assignment using Selective Cost Estimation for Multi-Agent Systems
Niklas Dahlquist, Shridhar Velhal, George Nikolakopoulos
This paper presents a scalable framework for multi-robot task allocation in complex environments where estimating task execution costs is computationally expensive. While combinato…
A Survey on Data-Driven Models for Soil Moisture Regression and Classification
Ilektra Tsimpidi, George Georgoulas, Vidya Sumathy +1
Soil Moisture (SM) modelling constitutes a complex spatiotemporal learning problem characterised by nonlinear environmental interactions, heterogeneous data sources, and limited gr…
Real-World Deployment of a 5G-Connected Edge-Controlled Aerial Robot in Industrial Subterranean Mines
Achilleas Santi Seisa, Emanuele Pagliari, Gerasimos Damigos +2
This article presents the first real-world autonomous flight of a 5G-connected aerial robot controlled by an edge-offloaded controller, and aims to bridge the gap between controlle…
Modeling and Control of a Pneumatic Morphing Soft Quadrotor based on the SOFA Framework for Dynamic Soft Robotic Simulation
F. Labra Caso, V. Sumathy, P. Ferrentino +3
This article presents a novel SOFA based finite element method for the soft body modeling and the corresponding dynamic simulation and control of a pneumatic morphing soft quadroto…
SubTGraph: Large-Scale Subterranean Environment Synthesis with Controllable Topological Variability for Robotic Autonomy Validation
F. Labra Caso, A. Saradagi, S. Fredriksson +3
Subterranean (SubT) environments have been a frontier for autonomous robotics, driven by the push for automation of mining operations and the interest in planetary exploration (Mar…
Aerial Inspection Behaviors via RL-based Quadrotor Control for Under-canopy Forest Environments
Fausto Mauricio Lagos Suarez, Akshit Saradagi, Vidya Sumathy +2
This paper addresses the problem of using a deep Reinforcement Learning (RL)-based low-level Quadrotor controller within an autonomous Quadrotor navigation stack for aerial inspect…
A Heuristic Approach for Performance Tuning in RL-based Quadrotor Control via Reward Design and Termination Conditions
Fausto Mauricio Lagos Suarez, Akshit Saradagi, Vidya Sumathy +1
Reinforcement learning (RL)-based quadrotor control policies have achieved impressive performance in tasks such as fast navigation in cluttered environments and drone racing, where…
Fast Expanding Safe Circular Regions for Efficient Local Path Planning
Scott Fredriksson, Akshit Saradagi, George Nikolakopoulos
Local navigation is one of the fundamental problems in robot navigation, and numerous approaches have been proposed over the years, including methods such as the Dynamic Window App…
Reactive Robot-Centric Safety for Autonomous Navigation in Constrained and Dynamic Environments
Viswa Narayanan Sankaranarayanan, Vignesh K. Viswanathan, Akshit Saradagi +2
In this work, we address the problem of ensuring real-time safety in autonomous robot navigation, in spatially constrained dynamic environments, by utilizing only onboard sensors.…
Route-Phasing-Split-Encoded Genetic Algorithm for Multi-Satellite On-Orbit Servicing Mission Planning
Shridhar Velhal, Avijit Banerjee, George Nikolakopoulos
This article addresses multi-servicer on-orbit servicing mission planning in geosynchronous Earth orbit, where routing decisions are tightly coupled with time-dependent orbital pha…
How IMU Drift Influences Multi-Radar Inertial Odometry for Ground Robots in Subterranean Terrains
Moumita Mukherjee, Magnus Norén, Anton Koval +2
Reliable radar inertial odometry (RIO) requires mitigating IMU bias drift, a challenge that intensifies in subterranean environments due to extreme temperatures and gravity-induced…
Role-Adaptive Collaborative Formation Planning for Team of Quadruped Robots in Cluttered Environments
Magnus Norén, Marios-Nektarios Stamatopoulos, Avijit Banerjee +1
This paper presents a role-adaptive Leader-Follower-based formation planning and control framework for teams of quadruped robots operating in cluttered environments. Unlike convent…
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…
Planetary Terrain Datasets and Benchmarks for Rover Path Planning
Marvin Chancán, Avijit Banerjee, George Nikolakopoulos
Planetary rover exploration is attracting renewed interest with several upcoming space missions to the Moon and Mars. However, a substantial amount of data from prior missions rema…
Optimal Safety-Aware Scheduling for Multi-Agent Aerial 3D Printing with Utility Maximization under Dependency Constraints
Marios-Nektarios Stamatopoulos, Shridhar Velhal, Avijit Banerjee +1
This article presents a novel coordination and task-planning framework to enable the simultaneous conflict-free collaboration of multiple unmanned aerial vehicles (UAVs) for aerial…
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…
Real-time Point Cloud Data Transmission via L4S for 5G-Edge-Assisted Robotics
Gerasimos Damigos, Achilleas Santi Seisa, Nikolaos Stathoulopoulos +2
This article presents a novel framework for real-time Light Detection and Ranging (LiDAR) data transmission that leverages rate-adaptive technologies and point cloud encoding metho…
Autonomous Reactive Masonry Construction using Collaborative Heterogeneous Aerial Robots with Experimental Demonstration
Marios-Nektarios Stamatopoulos, Elias Small, Shridhar Velhal +2
This article presents a fully autonomous aerial masonry construction framework using heterogeneous unmanned aerial vehicles (UAVs), supported by experimental validation. Two specia…
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…
Cloud-Assisted Remote Control for Aerial Robots: From Theory to Proof-of-Concept Implementation
Achilleas Santi Seisa, Viswa Narayanan Sankaranarayanan, Gerasimos Damigos +2
Cloud robotics has emerged as a promising technology for robotics applications due to its advantages of offloading computationally intensive tasks, facilitating data sharing, and e…