CAMORIANO, RAFFAELLO

CAMORIANO, RAFFAELLO  

Dipartimento di Automatica e Informatica  

094713  

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Risultati 1 - 19 di 19 (tempo di esecuzione: 0.056 secondi).
Citazione Data di pubblicazione Autori File
A structured prediction approach for robot imitation learning / Duan, Anqing; Batzianoulis, Iason; Camoriano, Raffaello; Rosasco, Lorenzo; Pucci, Daniele; Billard, Aude. - In: THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH. - ISSN 1741-3176. - 43:2(2024), pp. 113-133. [10.1177/02783649231204656] 1-gen-2024 Raffaello CamorianoLorenzo Rosasco + A_Structured_Prediction_Approach_for_Robot_Imitation_Learning__FINAL_.pdfduan-et-al-2023-a-structured-prediction-approach-for-robot-imitation-learning.pdf
PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting / Tiboni, Gabriele; Camoriano, Raffaello; Tommasi, Tatiana. - (2023), pp. 3857-3864. (Intervento presentato al convegno International conference on intelligent robots and systems (IROS) tenutosi a Detroit (USA) nel 01-05 October 2023) [10.1109/IROS55552.2023.10341480]. 1-gen-2023 Gabriele TiboniRaffaello CamorianoTatiana Tommasi PaintNet_IROS_2023_camera_ready.pdfPaintNet_Unstructured_Multi-Path_Learning_from_3D_Point_Clouds_for_Robotic_Spray_Painting.pdf
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning / Capuano, Francesco; Peceli, Davorin; Tiboni, Gabriele; Camoriano, Raffaello; Rus, Bedřich. - 12577:(2023). (Intervento presentato al convegno SPIE OPTICS + OPTOELECTRONICS tenutosi a Prague (Czech Republic) nel 24-28 April 2023) [10.1117/12.2669267]. 1-gen-2023 Francesco CapuanoGabriele TiboniRaffaello Camoriano + temporl.pdf125770C.pdf
ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots / Viceconte, P M; Camoriano, R; Romualdi, G; Ferigo, D; Dafarra, S; Traversaro, S; Oriolo, G; Rosasco, L; Pucci, D. - In: IEEE ROBOTICS AND AUTOMATION LETTERS. - ISSN 2377-3766. - ELETTRONICO. - 7:2(2022), pp. 2779-2786. [10.1109/LRA.2022.3141658] 1-gen-2022 Camoriano R + ADHERENT_Learning_Human-like_Trajectory_Generators_for_Whole-body_Control_of_Humanoid_Robots.pdf
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach / Maiettini, E; Maracani, A; Camoriano, R; Pasquale, G; Tikhanoff, V; Rosasco, L; Natale, L. - STAMPA. - (2022), pp. 942-949. (Intervento presentato al convegno 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) tenutosi a Napoli (ITA) nel August 29 - September 2, 2022) [10.1109/RO-MAN53752.2022.9900780]. 1-gen-2022 Camoriano R + From_Handheld_to_Unconstrained_Object_Detection_a_Weakly-supervised_On-line_Learning_Approach.pdf
On the emergence of whole-body strategies from humanoid robot push-recovery learning / Ferigo, D; Camoriano, R; Viceconte, P M; Calandriello, D; Traversaro, S; Rosasco, L; Pucci, D. - In: IEEE ROBOTICS AND AUTOMATION LETTERS. - ISSN 2377-3766. - ELETTRONICO. - 6:4(2021), pp. 8561-8568. [10.1109/LRA.2021.3076955] 1-gen-2021 Camoriano R + On_the_Emergence_of_Whole-Body_Strategies_From_Humanoid_Robot_Push-Recovery_Learning.pdf
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models / Marconi, G M; Camoriano, R; Rosasco, L; Ciliberto, C. - In: IEEE ROBOTICS AND AUTOMATION LETTERS. - ISSN 2377-3766. - ELETTRONICO. - 6:3(2021), pp. 5650-5657. [10.1109/LRA.2021.3063978] 1-gen-2021 Camoriano R + Structured_Prediction_for_CRiSP_Inverse_Kinematics_Learning_With_Misspecified_Robot_Models.pdf
Learning to Avoid Obstacles With Minimal Intervention Control / Duan, A; Camoriano, R; Ferigo, D; Huang, Y; Calandriello, D; Rosasco, L; Pucci, D. - In: FRONTIERS IN ROBOTICS AND AI. - ISSN 2296-9144. - ELETTRONICO. - 7:(2020). [10.3389/frobt.2020.00060] 1-gen-2020 Camoriano R + frobt-07-00060.pdf
Derivative-free online learning of inverse dynamics models / Romeres, D; Zorzi, M; Camoriano, R; Traversaro, S; Chiuso, A. - In: IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY. - ISSN 1063-6536. - ELETTRONICO. - 28:3(2019), pp. 816-830. [10.1109/TCST.2019.2891222] 1-gen-2019 Camoriano R + Derivative-Free_Online_Learning_of_Inverse_Dynamics_Models.pdf
Learning to Sequence Multiple Tasks with Competing Constraints / Duan, A; Camoriano, R; Ferigo, D; Huang, Y; Calandriello, D; Rosasco, L; Pucci, D. - ELETTRONICO. - (2019), pp. 2672-2678. (Intervento presentato al convegno 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 tenutosi a Macau, China nel 03-08 November 2019) [10.1109/IROS40897.2019.8968496]. 1-gen-2019 Camoriano R + Learning_to_Sequence_Multiple_Tasks_with_Competing_Constraints.pdf
Constrained DMPs for Feasible Skill Learning on Humanoid Robots / Duan, A; Camoriano, R; Ferigo, D; Calandriello, D; Rosasco, L; Pucci, D. - ELETTRONICO. - (2018), pp. 1032-1038. (Intervento presentato al convegno 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids) tenutosi a Beijing, China nel 06-09 November 2018) [10.1109/HUMANOIDS.2018.8624934]. 1-gen-2018 Camoriano R + Constrained_DMPs_for_Feasible_Skill_Learning_on_Humanoid_Robots.pdf
Dirichlet-based gaussian processes for large-scale calibrated classification / Milios, D; Camoriano, R; Michiardi, P; Rosasco, L; Filippone, M. - ELETTRONICO. - 31:(2018), pp. 6005-6015. (Intervento presentato al convegno Neural Information Processing Systems 2018 tenutosi a Montréal, Canada nel 3 - 8 December, 2018). 1-gen-2018 Camoriano R + NeurIPS-2018-dirichlet-based-gaussian-processes-for-large-scale-calibrated-classification-Paper.pdf
Incremental robot learning of new objects with fixed update time / Camoriano, R; Pasquale, G; Ciliberto, C; Natale, L; Rosasco, L; Metta, G. - ELETTRONICO. - (2017), pp. 3207-3214. (Intervento presentato al convegno IEEE International Conference on Robotics and Automation (ICRA 2017) tenutosi a Singapore nel 29 May 2017 - 03 June 2017) [10.1109/ICRA.2017.7989364]. 1-gen-2017 Camoriano R + Incremental_robot_learning_of_new_objects_with_fixed_update_time.pdf
Generalization properties and implicit regularization for multiple passes SGM / Lin, J; Camoriano, R; Rosasco, L. - ELETTRONICO. - 48:(2016), pp. 2340-2348. (Intervento presentato al convegno 33rd International Conference on Machine Learning tenutosi a New York, USA nel June 19 - 24, 2016). 1-gen-2016 Camoriano R + lina16.pdf
Incremental semiparametric inverse dynamics learning / Camoriano, R; Traversaro, S; Rosasco, L; Metta, G; Nori, F. - ELETTRONICO. - (2016), pp. 544-550. (Intervento presentato al convegno 2016 IEEE International Conference on Robotics and Automation (ICRA) tenutosi a Stockholm, Sweden nel May 16-21, 2016) [10.1109/ICRA.2016.7487177]. 1-gen-2016 Camoriano R + Incremental_semiparametric_inverse_dynamics_learning (1).pdf
NYTRO: When Subsampling Meets Early Stopping / Camoriano, R; Angles, T; Rudi, A; Rosasco, L. - ELETTRONICO. - 51:(2016), pp. 1403-1411. (Intervento presentato al convegno 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016) tenutosi a Cadiz, Spain nel 9 maggio 2016). 1-gen-2016 Camoriano R + camoriano16.pdf
Online semi-parametric learning for inverse dynamics modeling / Romeres, D; Zorzi, M; Camoriano, R; Chiuso, A. - ELETTRONICO. - (2016), pp. 2945-2950. (Intervento presentato al convegno 2016 IEEE 55th Conference on Decision and Control (CDC) tenutosi a Las Vegas (USA) nel 12-14 December 2016) [10.1109/CDC.2016.7798708]. 1-gen-2016 Camoriano R + Online_semi-parametric_learning_for_inverse_dynamics_modeling.pdf
Less is more: Nyström computational regularization / Rudi, A; Camoriano, R; Rosasco, L. - ELETTRONICO. - (2015), pp. 1657-1665. (Intervento presentato al convegno Advances in Neural Information Processing Systems (NIPS 2015) tenutosi a Montreal, Canada nel December 7-12, 2015). 1-gen-2015 Camoriano R + NIPS-2015-less-is-more-nystrom-computational-regularization-Paper.pdf
Development and analysis of a new specialized gripper mechanism for garment handling / L, Le; Zoppi, M; Jilich, M; Camoriano, R; Zlatanov, D; Molfino, R. - ELETTRONICO. - 6B:(2013). (Intervento presentato al convegno ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a Portland, OR (USA) nel Aug. 4-7, 2013) [10.1115/DETC2013-13150]. 1-gen-2013 Camoriano R + v06bt07a013-detc2013-13150.pdf