Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDLorenzo Natale
Person information
- affiliation: Istituto Italiano di Tecnologia, ICub Facility, Genoa, Italy
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j41]Maria Lombardi, Elisa Maiettini, Davide De Tommaso, Agnieszka Wykowska, Lorenzo Natale:
Toward an Attentive Robotic Architecture: Learning-Based Mutual Gaze Estimation in Human-Robot Interaction. Frontiers Robotics AI 9: 770165 (2022)- [j40]Valentina Vasco, Alexandre G. P. Antunes, Vadim Tikhanoff, Ugo Pattacini, Lorenzo Natale, Valerio Gower, Marco Maggiali:
HR1 Robot: An Assistant for Healthcare Applications. Frontiers Robotics AI 9: 813843 (2022) - [j39]Nicola A. Piga
, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale:
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking. IEEE Robotics Autom. Lett. 7(1): 159-166 (2022) - [i45]Federico Vasile, Elisa Maiettini, Giulia Pasquale, Astrid Florio, Nicolo Boccardo, Lorenzo Natale:
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis. CoRR abs/2203.09812 (2022) - 2021
- [j38]Nicola A. Piga, Fabrizio Bottarel, Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale:
MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking. Frontiers Robotics AI 8: 594583 (2021) - [j37]Nicola A. Piga, Ugo Pattacini, Lorenzo Natale:
A Differentiable Extended Kalman Filter for Object Tracking Under Sliding Regime. Frontiers Robotics AI 8: 686447 (2021) - [j36]Michele Colledanchise, Lorenzo Natale:
On the Implementation of Behavior Trees in Robotics. IEEE Robotics Autom. Lett. 6(3): 5929-5936 (2021) - [c109]Elisa Maiettini, Vadim Tikhanoff, Lorenzo Natale:
Weakly-Supervised Object Detection Learning through Human-Robot Interaction. HUMANOIDS 2021: 392-399 - [c108]Prajval Kumar Murali, Ines Sorrentino, Angelo Rendiniello, Claudio Fantacci, Enrico Villagrossi, Andrea Polo, Alessandro Ardesi, Marco Maggiali, Lorenzo Natale, Daniele Pucci, Silvio Traversaro:
In Situ Translational Hand-Eye Calibration of Laser Profile Sensors using Arbitrary Objects. ICRA 2021: 11067-11073 - [c107]Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Fast Object Segmentation Learning with Kernel-based Methods for Robotics. ICRA 2021: 13581-13588 - [c106]Riccardo Grigoletto, Elisa Maiettini, Lorenzo Natale:
Score to Learn: A Comparative Analysis of Scoring Functions for Active Learning in Robotics. ICVS 2021: 55-67 - [c105]Evgenii Safronov, Nicola A. Piga, Michele Colledanchise, Lorenzo Natale:
Active Perception for Ambiguous Objects Classification. IROS 2021: 4437-4444 - [c104]Michele Colledanchise, Giuseppe Cicala, Daniele E. Domenichelli, Lorenzo Natale, Armando Tacchella:
Formalizing the Execution Context of Behavior Trees for Runtime Verification of Deliberative Policies. IROS 2021: 9841-9848 - [i44]Prajval Kumar Murali, Ines Sorrentino, Angelo Rendiniello, Claudio Fantacci, Enrico Villagrossi, Andrea Polo, Alessandro Ardesi, Marco Maggiali, Lorenzo Natale, Daniele Pucci, Silvio Traversaro:
In Situ Translational Hand-Eye Calibration of Laser Profile Sensors using Arbitrary Objects. CoRR abs/2103.11981 (2021) - [i43]Lorenzo Natale, Chiara Bartolozzi, Francesco Nori, Giulio Sandini, Giorgio Metta:
iCub. CoRR abs/2105.02313 (2021) - [i42]Lorenzo Natale, Giorgio Cannata:
Tactile Sensing. CoRR abs/2105.05089 (2021) - [i41]Michele Colledanchise, Giuseppe Cicala, Daniele E. Domenichelli, Lorenzo Natale, Armando Tacchella:
Formalizing the Execution Context of Behavior Trees for Runtime Verification of Deliberative Policies. CoRR abs/2106.12474 (2021) - [i40]Michele Colledanchise, Giuseppe Cicala, Daniele E. Domenichelli, Lorenzo Natale, Armando Tacchella:
A Toolchain to Design, Execute, and Monitor Robots Behaviors. CoRR abs/2106.15211 (2021) - [i39]Michele Colledanchise, Lorenzo Natale:
On the Implementation of Behavior Trees in Robotics. CoRR abs/2106.15227 (2021) - [i38]Elisa Maiettini, Vadim Tikhanoff, Lorenzo Natale:
Weakly-Supervised Object Detection Learning through Human-Robot Interaction. CoRR abs/2107.07901 (2021) - [i37]Evgenii Safronov, Nicola A. Piga, Michele Colledanchise, Lorenzo Natale:
Active Perception for Ambiguous Objects Classification. CoRR abs/2108.00737 (2021) - [i36]Michele Colledanchise, Lorenzo Natale:
Handling Concurrency in Behavior Trees. CoRR abs/2110.11813 (2021) - [i35]Nicola A. Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale:
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking. CoRR abs/2111.03821 (2021) - 2020
- [j35]Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
On-line object detection: a robotics challenge. Auton. Robots 44(5): 739-757 (2020) - [j34]Fabrizio Bottarel, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale:
GRASPA 1.0: GRASPA is a Robot Arm graSping Performance BenchmArk. IEEE Robotics Autom. Lett. 5(2): 836-843 (2020) - [c103]Evgenii Safronov, Michele Colledanchise, Lorenzo Natale:
Compact Belief State Representation for Task Planning. CASE 2020: 747-754 - [c102]Angelo Rendiniello, Alberto Remus, Ines Sorrentino, Prajval Kumar Murali, Daniele Pucci, Marco Maggiali, Lorenzo Natale, Silvio Traversaro, Enrico Villagrossi, Andrea Polo, Alessandro Ardesi:
A Flexible Software Architecture for Robotic Industrial Applications. ETFA 2020: 1273-1276 - [c101]Luca Vignaroli, Marco Gramaglia, Manuel Fuentes, Antonino Casella, Roman Odarchenko, Lorenzo Natale, Baruch Altman, Francesco D'Andria:
The Touristic Sector in the 5G Technology Era: The 5G-TOURS Project Approach. GLOBECOM (Workshops) 2020: 1-6 - [c100]Michele Colledanchise, Damiano Malafronte, Lorenzo Natale:
Act, Perceive, and Plan in Belief Space for Robot Localization. ICRA 2020: 3763-3769 - [c99]Evgenii Safronov, Michele Colledanchise, Lorenzo Natale:
Task Planning with Belief Behavior Trees. IROS 2020: 6870-6877 - [i34]Fabrizio Bottarel, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale:
GRASPA 1.0: GRASPA is a Robot Arm graSping Performance benchmArk. CoRR abs/2002.05017 (2020) - [i33]Michele Colledanchise, Damiano Malafronte, Lorenzo Natale:
Act, Perceive, and Plan in Belief Space for Robot Localization. CoRR abs/2002.08124 (2020) - [i32]Evgenii Safronov, Michele Colledanchise, Lorenzo Natale:
Task Planning with Belief Behavior Trees. CoRR abs/2008.09393 (2020) - [i31]Evgenii Safronov, Michele Colledanchise, Lorenzo Natale:
Compact Belief State Representation for Task Planning. CoRR abs/2008.10386 (2020) - [i30]Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Fast Region Proposal Learning for Object Detection for Robotics. CoRR abs/2011.12790 (2020) - [i29]Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Fast Object Segmentation Learning with Kernel-based Methods for Robotics. CoRR abs/2011.12805 (2020) - [i28]Elisa Maiettini, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale:
Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics. CoRR abs/2012.14345 (2020)
2010 – 2019
- 2019
- [j33]Daniele E. Domenichelli, Silvio Traversaro, Luca Muratore, Alessio Rocchi, Francesco Nori, Lorenzo Natale:
A Build System for Software Development in Robotic Academic Collaborative Environments. Int. J. Semantic Comput. 13(2): 185-205 (2019) - [j32]Wansoo Kim, Marta Lorenzini, Pietro Balatti, Phuong D. H. Nguyen, Ugo Pattacini, Vadim Tikhanoff, Luka Peternel, Claudio Fantacci, Lorenzo Natale, Giorgio Metta, Arash Ajoudani:
Adaptable Workstations for Human-Robot Collaboration: A Reconfigurable Framework for Improving Worker Ergonomics and Productivity. IEEE Robotics Autom. Mag. 26(3): 14-26 (2019) - [j31]Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale:
Are we done with object recognition? The iCub robot's perspective. Robotics Auton. Syst. 112: 260-281 (2019) - [c98]Alexis C. Holgado, Nicola A. Piga, Tito Pradhono Tomo, Giulia Vezzani, Alexander Schmitz, Lorenzo Natale, Shigeki Sugano:
Magnetic 3-axis Soft and Sensitive Fingertip Sensors Integration for the iCub Humanoid Robot. Humanoids 2019: 1-8 - [c97]Elisa Maiettini, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale:
A Weakly Supervised Strategy for Learning Object Detection on a Humanoid Robot. Humanoids 2019: 194-201 - [c96]Dario Molinari, Giulia Pasquale, Lorenzo Natale, Barbara Caputo:
Automatic Creation of Large Scale Object Databases from Web Resources: A Case Study in Robot Vision. ICIAP (2) 2019: 488-498 - [c95]Michele Colledanchise, Lorenzo Natale:
Analysis and Exploitation of Synchronized Parallel Executions in Behavior Trees. IROS 2019: 6399-6406 - [c94]Eleonora Giunchiglia, Michele Colledanchise, Lorenzo Natale, Armando Tacchella:
Conditional Behavior Trees: Definition, Executability, and Applications. SMC 2019: 1899-1906 - [i27]Giulia Vezzani, Abhishek Gupta, Lorenzo Natale, Pieter Abbeel:
Learning latent state representation for speeding up exploration. CoRR abs/1905.12621 (2019) - [i26]Michele Colledanchise, Lorenzo Natale:
Analysis and Exploitation of Synchronized Parallel Executions in Behavior Trees. CoRR abs/1908.01539 (2019) - 2018
- [j30]Marco Randazzo, Andrea Ruzzenenti, Lorenzo Natale:
YARP-ROS Inter-Operation in a 2D Navigation Task. Frontiers Robotics AI 5: 5 (2018) - [j29]Alberto Cardellino, Andrea Ruzzenenti, Lorenzo Natale:
Design and Implementation of a YARP Device Driver Interface: The Depth-Sensor Case. Frontiers Robotics AI 5: 40 (2018) - [j28]Tanis Mar, Vadim Tikhanoff, Lorenzo Natale:
A Framework for Fast, Autonomous, and Reliable Tool Incorporation on iCub. Frontiers Robotics AI 5: 98 (2018) - [j27]Qiang Li, Lorenzo Natale, Robert Haschke, Andrea Cherubini, Anh Van Ho, Helge J. Ritter:
Tactile Sensing for Manipulation. Int. J. Humanoid Robotics 15(1): 1802001:1-1802001:3 (2018) - [j26]Eduardo Torres-Jara, Lorenzo Natale:
Sensitive Manipulation: Manipulation Through Tactile Feedback. Int. J. Humanoid Robotics 15(1): 1850012:1-1850012:23 (2018) - [j25]Tito Pradhono Tomo, Massimo Regoli, Alexander Schmitz, Lorenzo Natale, Harris Kristanto, Sophon Somlor, Lorenzo Jamone, Giorgio Metta, Shigeki Sugano:
A New Silicone Structure for uSkin - A Soft, Distributed, Digital 3-Axis Skin Sensor and Its Integration on the Humanoid Robot iCub. IEEE Robotics Autom. Lett. 3(3): 2584-2591 (2018) - [j24]Tanis Mar, Vadim Tikhanoff, Lorenzo Natale:
What Can I Do With This Tool? Self-Supervised Learning of Tool Affordances From Their 3-D Geometry. IEEE Trans. Cogn. Dev. Syst. 10(3): 595-610 (2018) - [c93]Phuong D. H. Nguyen, Fabrizio Bottarel, Ugo Pattacini, Matej Hoffmann, Lorenzo Natale, Giorgio Metta:
Merging Physical and Social Interaction for Effective Human-Robot Collaboration. Humanoids 2018: 1-9 - [c92]Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Vadim Tikhanoff, Lorenzo Natale:
Markerless Visual Servoing on Unknown Objects for Humanoid Robot Platforms. ICRA 2018: 3099-3106 - [c91]Giulia Vezzani, Ugo Pattacini, Giulia Pasquale, Lorenzo Natale:
Improving Superquadric Modeling and Grasping with Prior on Object Shapes. ICRA 2018: 6875-6882 - [c90]Daniele E. Domenichelli, Silvio Traversaro, Luca Muratore, Alessio Rocchi, Francesco Nori, Lorenzo Natale:
A Build System for Software Development in Robotic Academic Collaborative Environments. IRC 2018: 33-40 - [c89]Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Speeding-Up Object Detection Training for Robotics with FALKON. IROS 2018: 5770-5776 - [c88]Michele Colledanchise, Lorenzo Natale:
Improving the Parallel Execution of Behavior Trees. IROS 2018: 7103-7110 - [i25]Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Speeding-up Object Detection Training for Robotics with FALKON. CoRR abs/1803.08740 (2018) - [i24]Michele Colledanchise, Lorenzo Natale:
Improving the Parallel Execution of Behavior Trees. CoRR abs/1809.04898 (2018) - 2017
- [j23]Giulia Vezzani, Massimo Regoli, Ugo Pattacini, Lorenzo Natale:
A novel pipeline for bi-manual handover task. Adv. Robotics 31(23-24): 1267-1280 (2017) - [j22]Mirko Ferrati, Alessandro Settimi, Luca Muratore, Alberto Cardellino, Alessio Rocchi, Enrico Mingo Hoffman, Corrado Pavan, Dimitrios Kanoulas, Nikos G. Tsagarakis, Lorenzo Natale, Lucia Pallottino:
Corrigendum: The Walk-Man Robot Software Architecture. Frontiers Robotics AI 4: 44 (2017) - [j21]Giulia Vezzani, Lorenzo Natale:
Real-time Pipeline for Object Modeling and Grasping Pose Selection via Superquadric Functions. Frontiers Robotics AI 4: 59 (2017) - [j20]Nikolaos G. Tsagarakis, Darwin G. Caldwell, Francesca Negrello, Wooseok Choi, Lorenzo Baccelliere, Vo-Gia Loc, J. Noorden, Luca Muratore, Alessio Margan, Alberto Cardellino, Lorenzo Natale, Enrico Mingo Hoffman, Houman Dallali, Navvab Kashiri, Jörn Malzahn, Jinoh Lee, Przemyslaw Kryczka, Dimitrios Kanoulas, Manolo Garabini, Manuel G. Catalano, Mirko Ferrati, Valerio Varricchio, Lucia Pallottino, Corrado Pavan, Antonio Bicchi, Alessandro Settimi, Alessio Rocchi, Arash Ajoudani:
WALK-MAN: A High-Performance Humanoid Platform for Realistic Environments. J. Field Robotics 34(7): 1225-1259 (2017) - [j19]Ali Khalili, Massimo Narizzano, Lorenzo Natale, Armando Tacchella:
Learning middleware models for verification of distributed control programs. Robotics Auton. Syst. 92: 139-151 (2017) - [j18]Giulia Vezzani, Ugo Pattacini, Giorgio Battistelli, Luigi Chisci, Lorenzo Natale:
Memory Unscented Particle Filter for 6-DOF Tactile Localization. IEEE Trans. Robotics 33(5): 1139-1155 (2017) - [c87]Anouk van Maris, Hagen Lehmann, Lorenzo Natale, Beata J. Grzyb:
The Influence of a Robot's Embodiment on Trust: A Longitudinal Study. HRI (Companion) 2017: 313-314 - [c86]Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Interactive data collection for deep learning object detectors on humanoid robots. Humanoids 2017: 862-868 - [c85]Massimo Regoli, Nawid Jamali, Giorgio Metta, Lorenzo Natale:
Controlled tactile exploration and haptic object recognition. ICAR 2017: 47-54 - [c84]Valentina Vasco, Arren Glover, Elias Mueggler, Davide Scaramuzza, Lorenzo Natale, Chiara Bartolozzi:
Independent motion detection with event-driven cameras. ICAR 2017: 530-536 - [c83]Tanis Mar, Vadim Tikhanoff, Giorgio Metta, Lorenzo Natale:
Self-supervised learning of tool affordances from 3D tool representation through parallel SOM mapping. ICRA 2017: 894-901 - [c82]Giulia Vezzani, Ugo Pattacini, Lorenzo Natale:
A grasping approach based on superquadric models. ICRA 2017: 1579-1586 - [c81]Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta:
Incremental robot learning of new objects with fixed update time. ICRA 2017: 3207-3214 - [c80]Chiara Bartolozzi, Paolo Motto Ros, Francesco Diotalevi, Nawid Jamali, Lorenzo Natale, Marco Crepaldi, Danilo Demarchi:
Event-driven encoding of off-the-shelf tactile sensors for compression and latency optimisation for robotic skin. IROS 2017: 166-173 - [c79]Alberto Parmiggiani, Luca Fiorio, Alessandro Scalzo, Anand Vazhapilli Sureshbabu, Marco Randazzo, Marco Maggiali, Ugo Pattacini, Hagen Lehmann, Vadim Tikhanoff, Daniele Domenichelli, Alberto Cardellino, Pierpaolo Congiu, Andrea Pagnin, Roberto Cingolani, Lorenzo Natale, Giorgio Metta:
The design and validation of the R1 personal humanoid. IROS 2017: 674-680 - [c78]Luca Fiorio, Alessandro Scalzo, Lorenzo Natale, Giorgio Metta, Alberto Parmiggiani:
A parallel kinematic mechanism for the torso of a humanoid robot: Design, construction and validation. IROS 2017: 681-688 - [c77]Claudio Fantacci, Ugo Pattacini, Vadim Tikhanoff, Lorenzo Natale:
Visual end-effector tracking using a 3D model-aided particle filter for humanoid robot platforms. IROS 2017: 1411-1418 - [e1]Britta Wrede, Yukie Nagai, Takanori Komatsu, Marc Hanheide, Lorenzo Natale:
Proceedings of the 5th International Conference on Human Agent Interaction, HAI 2017, Bielefeld, Germany, October 17 - 20, 2017. ACM 2017, ISBN 978-1-4503-5113-3 [contents] - [i23]Claudio Fantacci, Ugo Pattacini, Vadim Tikhanoff, Lorenzo Natale:
Visual end-effector tracking using a 3D model-aided particle filter for humanoid robot platforms. CoRR abs/1703.04771 (2017) - [i22]Massimo Regoli, Nawid Jamali, Giorgio Metta, Lorenzo Natale:
Controlled Tactile Exploration and Haptic Object Recognition. CoRR abs/1706.08697 (2017) - [i21]Valentina Vasco, Arren Glover, Elias Mueggler, Davide Scaramuzza, Lorenzo Natale, Chiara Bartolozzi:
Independent motion detection with event-driven cameras. CoRR abs/1706.08713 (2017) - [i20]Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale:
Are we Done with Object Recognition? The iCub robot's Perspective. CoRR abs/1709.09882 (2017) - [i19]Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Vadim Tikhanoff, Lorenzo Natale:
Markerless visual servoing on unknown objects for humanoid robot platforms. CoRR abs/1710.04465 (2017) - [i18]Erika Ábrahám, Hadas Kress-Gazit, Lorenzo Natale, Armando Tacchella:
Computer-Assisted Engineering for Robotics and Autonomous Systems (Dagstuhl Seminar 17071). Dagstuhl Reports 7(2): 48-63 (2017) - 2016
- [j17]Lorenzo Natale, Ali Paikan, Marco Randazzo, Daniele Domenichelli:
The iCub Software Architecture: Evolution and Lessons Learned. Frontiers Robotics AI 3: 24 (2016) - [j16]Mirko Ferrati, Alessandro Settimi, Luca Muratore, Nikos G. Tsagarakis, Lorenzo Natale, Lucia Pallottino:
The Walk-Man Robot Software Architecture. Frontiers Robotics AI 3: 25 (2016) - [j15]Giulia Pasquale, Tanis Mar, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale:
Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives. Frontiers Robotics AI 3: 35 (2016) - [c76]Tariq Abuhashim, Lorenzo Natale:
Robustness in view-graph SLAM. FUSION 2016: 942-949 - [c75]Bertrand Higy, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale:
Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics. Humanoids 2016: 117-124 - [c74]Nawid Jamali, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale:
Active perception: Building objects' models using tactile exploration. Humanoids 2016: 179-185 - [c73]Giulia Vezzani, Nawid Jamali, Ugo Pattacini, Giorgio Battistelli, Luigi Chisci, Lorenzo Natale:
A novel Bayesian filtering approach to tactile object recognition. Humanoids 2016: 256-263 - [c72]Massimo Regoli, Ugo Pattacini, Giorgio Metta, Lorenzo Natale:
Hierarchical grasp controller using tactile feedback. Humanoids 2016: 387-394 - [c71]Florian Lier, Marc Hanheide, Lorenzo Natale, Simon Schulz, Jonathan Weisz, Sven Wachsmuth, Sebastian Wrede:
Towards automated system and experiment reproduction in robotics. IROS 2016: 3298-3305 - [c70]Giulia Pasquale, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale:
Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network. IROS 2016: 4904-4911 - [c69]Alessandro Roncone, Ugo Pattacini, Giorgio Metta, Lorenzo Natale:
A Cartesian 6-DoF Gaze Controller for Humanoid Robots. Robotics: Science and Systems 2016 - [i17]Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta:
Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time. CoRR abs/1605.05045 (2016) - [i16]Giulia Vezzani, Ugo Pattacini, Giorgio Battistelli, Luigi Chisci, Lorenzo Natale:
Memory Unscented Particle Filter for 6-DOF Tactile Localization. CoRR abs/1607.02757 (2016) - [i15]Gabriella Panuccio, Marianna Semprini, Lorenzo Natale, Michela Chiappalone:
Intelligent Biohybrid Neurotechnologies: Are They Really What They Claim? CoRR abs/1607.05023 (2016) - [i14]Nicolò Genesio, Tariq Abuhashim, Fabio Solari, Manuela Chessa, Lorenzo Natale:
Mobility Map Computations for Autonomous Navigation using an RGBD Sensor. CoRR abs/1610.01326 (2016) - 2015
- [j14]Andrea Del Prete, Francesco Nori, Giorgio Metta, Lorenzo Natale:
Prioritized motion-force control of constrained fully-actuated robots: "Task Space Inverse Dynamics". Robotics Auton. Syst. 63: 150-157 (2015) - [j13]Fulvio Mastrogiovanni, Lorenzo Natale, Giorgio Cannata, Giorgio Metta:
Special issue on advances in tactile sensing and tactile-based human-robot interaction. Robotics Auton. Syst. 63: 227-229 (2015) - [j12]Nathan F. Lepora, Uriel Martinez-Hernandez, Mathew H. Evans, Lorenzo Natale, Giorgio Metta, Tony J. Prescott:
Tactile Superresolution and Biomimetic Hyperacuity. IEEE Trans. Robotics 31(3): 605-618 (2015) - [c68]Hagen Lehmann, Luisa Damiano, Lorenzo Natale:
Workshop on Behavior Coordination between Animals, Humans and Robots. HRI (Extended Abstracts) 2015: 253-254 - [c67]Sriram Kumar, Francesca Odone, Nicoletta Noceti, Lorenzo Natale:
Object segmentation using independent motion detection. Humanoids 2015: 94-100 - [c66]Tanis Mar, Vadim Tikhanoff, Giorgio Metta, Lorenzo Natale:
Multi-model approach based on 3D functional features for tool affordance learning in robotics. Humanoids 2015: 482-489 - [c65]Ali Paikan, David Schiebener, Mirko Wächter, Tamim Asfour, Giorgio Metta, Lorenzo Natale:
Transferring object grasping knowledge and skill across different robotic platforms. ICAR 2015: 498-503 - [c64]Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale:
Teaching iCub to recognize objects using deep Convolutional Neural Networks. MLIS@ICML 2015: 21-25 - [c63]Tanis Mar, Vadim Tikhanoff, Giorgio Metta, Lorenzo Natale:
Self-supervised learning of grasp dependent tool affordances on the iCub Humanoid robot. ICRA 2015: 3200-3206 - [c62]Seyed Reza Ahmadzadeh, Ali Paikan, Fulvio Mastrogiovanni, Lorenzo Natale, Petar Kormushev, Darwin G. Caldwell:
Learning symbolic representations of actions from human demonstrations. ICRA 2015: 3801-3808 - [c61]Ali Paikan, Ugo Pattacini, Daniele Domenichelli, Marco Randazzo, Giorgio Metta, Lorenzo Natale:
A best-effort approach for run-time channel prioritization in real-time robotic application. IROS 2015: 1799-1805 - [c60]Nawid Jamali, Marco Maggiali, Francesco Giovannini, Giorgio Metta, Lorenzo Natale:
A new design of a fingertip for the iCub hand. IROS 2015: 2705-2710 - [c59]