Spatial Perception and Embodied Autonomy Research

Informazioni relative al progetto

SPEAR

ID dell’accordo di sovvenzione: 101119774

DOI

10.3030/101119774

Data della firma CE 27 Giugno 2023

Data di avvio 1 Novembre 2023

Data di completamento 31 Ottobre 2027

Finanziato da

• Digital, Industry and Space

Costo totale

€ 6 746 086,25

Contributo UE

€ 6 746 086,25

Coordinato da

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU
Norway

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Data Management Plan (1)

Data Management Plan

The DMP contains detailed procedures for all data types producing during SPEAR. The DMP will be a living document (see also planned updates).

Documents, reports (1)

Dissemination, exploitation and communication plan

Dissemination, exploitation and communication plan report (iteratively updated).

Pubblicazioni

Conference proceedings (5)

Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectation

Autori: Mario A.V. Saucedo, Akash Patel, Akshit Saradagi, Christoforos Kanellakis, George Nikolakopoulos
Pubblicato in: 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024
Editore: IEEE
DOI: 10.48550/arXiv.2402.03840

Decentralized Multi-Agent Reinforcement Learning Exploration with Inter-Agent Communication-Based Action Space

Autori: Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
Pubblicato in: 2024 24th International Conference on Control, Automation and Systems (ICCAS), 2024, ISSN 2642-3901
Editore: IEEE
DOI: 10.23919/ICCAS63016.2024.10773383

D-MARL: A Dynamic Communication-Based Action Space Enhancement for Multi Agent Reinforcement Learning Exploration of Large Scale Unknown Environments

Autori: Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
Pubblicato in: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Vine Robots that Evert through Bending

Autori: Rui Wu, Stefano Mintchev
Pubblicato in: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Editore: IEEE
DOI: 10.3929/ethz-b-000705656

Leveraging Computation of Expectation Models for Commonsense Affordance Estimation on 3D Scene Graphs

Autori: Mario A.V. Saucedo, Nikolaos Stathoulopoulos, Akash Patel, Christoforos Kanellakis, George Nikolakopoulos
Pubblicato in: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Editore: IEEE
DOI: 10.48550/arXiv.2409.05392

Peer reviewed articles (2)

Morphy: A Compliant and Morphologically Aware Flying Robot

Autori: Paolo De Petris; Morten Nissov; Kostas Alexis
Pubblicato in: Advanced Intelligent Systems, 2024, ISSN 2640-4567
Editore: Wiley
DOI: 10.1002/aisy.202400493

A Terminal State Feasibility Governor for Real-Time Nonlinear Model Predictive Control Over Arbitrary Horizons

Autori: Bryan Convens; Dominic Liao-McPherson; Kelly Merckaert; Bram Vanderborght; Marco M. Nicotra
Pubblicato in: IEEE Transactions on Control Systems Technology, 2024, ISSN 1558-0865
Editore: IEEE
DOI: 10.1109/tcst.2024.3365996

Other (1)

MAC: Morphology-Aware Control Design with Deep Reinforcement Learning for Navigation of Squeezable Unmanned Aerial Vehicles

Autori: Van Huyen Dang, Adrian Redder, Erdal Kayacan
Pubblicato in: Workshop on Morphology-Aware Policy and Design Learning (MAPoDeL) at CoRL 2024., 2024
Editore: OpenReview