activity
20182026
most citedAutonomous Reactive Masonry Construction using Collaborative Heterogeneous Aerial Robots with Experimental Demonstration

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

TRACE: Traversability-aware Reactive Navigation via VLM-driven Adaptive Constraints Estimation

Mario A. V. Saucedo, Midhun Edatharam Kunnath, Elias Small +4

This paper presents TRACE, a traversability-aware reactive navigation framework designed for the autonomous operation of ground robots in unstructured forest environments. Unlike t…

cs.RO2026

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…

cs.RO2025★ 1 cited

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…

cs.RO2025★ 1 cited

Toward Fully Autonomous Flexible Chunk-Based Aerial Additive Manufacturing: Insights from Experimental Validation

Marios-Nektarios Stamatopoulos, Jakub Haluska, Elias Small +3

A novel autonomous chunk-based aerial additive manufacturing framework is presented, supported with experimental demonstration advancing aerial 3D printing. An optimization-based d…

math.OC2018

Aerial navigation in obstructed environments with embedded nonlinear model predictive control

Elias Small, Pantelis Sopasakis, Emil Fresk +2

We propose a methodology for autonomous aerial navigation and obstacle avoidance of micro aerial vehicles (MAV) using nonlinear model predictive control (NMPC) and we demonstrate i…