Vittorio Caggiano

According to our database, Vittorio Caggiano authored at least 20 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SAR: generalization of physiological agility and dexterity via synergistic action representation.

Cameron Berg, Vittorio Caggiano, Vikash Kumar

Auton. Robots, December, 2024

2023

RoboHive: A Unified Framework for Robot Learning.

Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Jay Vakil, Abhishek Gupta, Aravind Rajeswaran

CoRR, 2023

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models.

Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano, Vikash Kumar, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle

CoRR, 2023

SAR: Generalization of Physiological Dexterity via Synergistic Action Representation.

Cameron H. Berg, Vittorio Caggiano, Vikash Kumar

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

RoboHive: A Unified Framework for Robot Learning.

Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MyoDex: A Generalizable Prior for Dexterous Manipulation.

Vittorio Caggiano, Sudeep Dasari, Vikash Kumar

Proceedings of the International Conference on Machine Learning, 2023

2022

MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control.

Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar

Proceedings of the Learning for Dynamics and Control Conference, 2022

MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies.

Huawei Wang, Vittorio Caggiano, Guillaume Durandau, Massimo Sartori, Vikash Kumar

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2021

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand.

Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar

Proceedings of the NeurIPS 2022 Competition Track, 2021

2019

Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning.

Sébastien Naze, Vittorio Caggiano, Yinming Sun, Molly V. Lucas, Amit Etkin, James R. Kozloski

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

Neurodynamical Model for the Coupling of Action Perception and Execution.

Mohammad Hovaidi-Ardestani, Vittorio Caggiano, Martin A. Giese

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2007

A multiresolution diffused expectation-maximization algorithm for medical image segmentation.

Giuseppe Boccignone, Paolo Napoletano, Vittorio Caggiano, Mario Ferraro

Comput. Biol. Medicine, 2007

2006

Bayesian Propagation for Perceiving Moving Objects.

Giuseppe Boccignone, Angelo Marcelli, Paolo Napoletano, Vittorio Caggiano, Gianluca Di Fiore

Int. J. Pattern Recognit. Artif. Intell., 2006

2005

An Indexing Approach for Representing Multimedia Objects in High-Dimensional Spaces Based on Expectation Maximization Algorithm.

Giuseppe Boccignone, Vittorio Caggiano, Carmine Cesarano, Vincenzo Moscato, Lucio Sansone

Proceedings of the Advances in Multimedia Information Systems, 11th International Workshop, 2005

Image segmentation via multiresolution diffused expectation-maximisation.

Giuseppe Boccignone, Vittorio Caggiano, Paolo Napoletano, Mario Ferraro

Proceedings of the 2005 International Conference on Image Processing, 2005

Interleaved detection and tracking of faces in video.

Giuseppe Boccignone, Vittorio Caggiano, Angelo Marcelli, Gianluca Di Fiore

Proceedings of the 2005 International Conference on Image Processing, 2005

Probabilistic Detection and Tracking of Faces in Video.

Giuseppe Boccignone, Vittorio Caggiano, Gianluca Di Fiore, Angelo Marcelli

Proceedings of the Image Analysis and Processing, 2005

An Architectural Model for Combining Spatial-Based and Object-Based Information for Attentive Video Analysis.

Giuseppe Boccignone, Vittorio Caggiano, Angelo Marcelli, Paolo Napoletano, Gianluca Di Fiore

Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005

A Bayesian Approach to Situated Vision.

Giuseppe Boccignone, Vittorio Caggiano, Gianluca Di Fiore, Angelo Marcelli, Paolo Napoletano

Proceedings of the Brain, 2005