Vittorio Caggiano

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 14

Top Topics

Reinforcement Learning

Evoked Potentials

Finite Element Analysis

Top Venues

Publications

Vittorio Caggiano, Sudeep Dasari, Vikash Kumar
MyoDex: A Generalizable Prior for Dexterous Manipulation. ICML (2023)
Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Jay Vakil, Abhishek Gupta, Aravind Rajeswaran
RoboHive: A Unified Framework for Robot Learning. CoRR (2023)
Vittorio Caggiano, Sudeep Dasari, Vikash Kumar
MyoDex: A Generalizable Prior for Dexterous Manipulation. CoRR (2023)
Cameron H. Berg, Vittorio Caggiano, Vikash Kumar
SAR: Generalization of Physiological Dexterity via Synergistic Action Representation. Robotics: Science and Systems (2023)
Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano, Vikash Kumar, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models. CoRR (2023)
Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran
RoboHive: A Unified Framework for Robot Learning. NeurIPS (2023)
Cameron Berg, Vittorio Caggiano, Vikash Kumar
SAR: Generalization of Physiological Agility and Dexterity via Synergistic Action Representation. CoRR (2023)
Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar
MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control. L4DC (2022)
Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar
MyoSuite - A contact-rich simulation suite for musculoskeletal motor control. CoRR (2022)
Huawei Wang, Vittorio Caggiano, Guillaume Durandau, Massimo Sartori, Vikash Kumar
MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies. ICRA (2022)
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, E. 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
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021)
Vittorio Caggiano, Guillaume Durandau, Huwawei Wang, Alberto Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel 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
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) (2021)
Sébastien Naze, Vittorio Caggiano, Yinming Sun, Molly V. Lucas, Amit Etkin, James R. Kozloski
Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning. EMBC (2019)
Mohammad Hovaidi-Ardestani, Vittorio Caggiano, Martin A. Giese
Neurodynamical Model for the Coupling of Action Perception and Execution. ICANN (1) (2017)
Giuseppe Boccignone, Paolo Napoletano, Vittorio Caggiano, Mario Ferraro
A multiresolution diffused expectation-maximization algorithm for medical image segmentation. Comput. Biol. Medicine 37 (1) (2007)
Giuseppe Boccignone, Angelo Marcelli, Paolo Napoletano, Vittorio Caggiano, Gianluca Di Fiore
Bayesian Propagation for Perceiving Moving Objects. Int. J. Pattern Recognit. Artif. Intell. 20 (6) (2006)
Giuseppe Boccignone, Vittorio Caggiano, Gianluca Di Fiore, Angelo Marcelli, Paolo Napoletano
A Bayesian Approach to Situated Vision. BVAI (2005)
Giuseppe Boccignone, Vittorio Caggiano, Paolo Napoletano, Mario Ferraro
Image segmentation via multiresolution diffused expectation-maximisation. ICIP (1) (2005)
Giuseppe Boccignone, Vittorio Caggiano, Carmine Cesarano, Vincenzo Moscato, Lucio Sansone
An Indexing Approach for Representing Multimedia Objects in High-Dimensional Spaces Based on Expectation Maximization Algorithm. Multimedia Information Systems (2005)
Giuseppe Boccignone, Vittorio Caggiano, Angelo Marcelli, Paolo Napoletano, Gianluca Di Fiore
An Architectural Model for Combining Spatial-Based and Object-Based Information for Attentive Video Analysis. CAMP (2005)
Giuseppe Boccignone, Vittorio Caggiano, Angelo Marcelli, Gianluca Di Fiore
Interleaved detection and tracking of faces in video. ICIP (2) (2005)
Giuseppe Boccignone, Vittorio Caggiano, Gianluca Di Fiore, Angelo Marcelli
Probabilistic Detection and Tracking of Faces in Video. ICIAP (2005)