8.6k citations
- University of HelsinkiFI101 papers
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7 papers · 2 filters
Investigating the Impact of Communication-Induced Action Space on Exploration of Unknown Environments with Decentralized Multi-Agent Reinforcement Learning
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1
This paper introduces a novel enhancement to the Decentralized Multi-Agent Reinforcement Learning (D-MARL) exploration by proposing communication-induced action space to improve th…
Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1
Collaborative multi-agent exploration of unknown environments is crucial for search and rescue operations. Effective real-world deployment must address challenges such as limited i…
Assisted Physical Interaction: Autonomous Aerial Robots with Neural Network Detection, Navigation, and Safety Layers
Andrea Berra, Viswa Narayanan Sankaranarayanan, Achilleas Santi Seisa +10
The paper introduces a novel framework for safe and autonomous aerial physical interaction in industrial settings. It comprises two main components: a neural network-based target d…
Design of a Flexible Robot Arm for Safe Aerial Physical Interaction
Julien Mellet, Andrea Berra, Achilleas Santi Seisa +7
This paper introduces a novel compliant mechanism combining lightweight and energy dissipation for aerial physical interaction. Weighting 400~g at take-off, the mechanism is actuat…
A Tree-based Next-best-trajectory Method for 3D UAV Exploration
Björn Lindqvist, Akash Patel, Kalle Löfgren +1
This work presents a fully integrated tree-based combined exploration-planning algorithm: Exploration-RRT (ERRT). The algorithm is focused on providing real-time solutions for loca…
FRAME: A Modular Framework for Autonomous Map Merging: Advancements in the Field
Nikolaos Stathoulopoulos, Björn Lindqvist, Anton Koval +2
In this article, a novel approach for merging 3D point cloud maps in the context of egocentric multi-robot exploration is presented. Unlike traditional methods, the proposed approa…