Giovanni De Magistris

According to our database1, Giovanni De Magistris authored at least 24 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Classification-Aided Multitarget Tracking Using the Sum-Product Algorithm.
IEEE Signal Process. Lett., 2020

Cooperative Autonomy and Data Fusion for Underwater Surveillance With Networked AUVs.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Underwater Tracking Based on the Sum-Product Algorithm Enhanced by a Neural Network Detections Classifier.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Selective Information Transmission using Convolutional Neural Networks for Cooperative Underwater Surveillance.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Constrained Exploration and Recovery from Experience Shaping.
CoRR, 2018

Reinforcement Learning Testbed for Power-Consumption Optimization.
CoRR, 2018

Deep Learning with Predictive Control for Human Motion Tracking.
CoRR, 2018

Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion.
CoRR, 2018

OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Transfer Learning from Synthetic to Real Images Using Variational Autoencoders for Precise Position Detection.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Optimized humanoid walking with soft soles.
Robotics Auton. Syst., 2017

Design of optimized soft soles for humanoid robots.
Robotics Auton. Syst., 2017

Transfer learning from synthetic to real images using variational autoencoders for robotic applications.
CoRR, 2017

Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Human-Like Hand Reaching by Motion Prediction Using Long Short-Term Memory.
Proceedings of the Social Robotics - 9th International Conference, 2017

Limiting the reconstruction capability of generative neural network using negative learning.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Deep reinforcement learning for high precision assembly tasks.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Walking on gravel with soft soles using linear inverted pendulum tracking and reaction force distribution.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Humanoid walking with compliant soles using a deformation estimator.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

A human-like learning control for digital human models in a physics-based virtual environment.
Vis. Comput., 2015

A humanoid walking pattern generator for sole design optimization.
Proceedings of the International Conference on Advanced Robotics, 2015

Étude et conception de la commande de mannequins virtuels dynamiques pour l'évaluation ergonomique des postes de travail. (Dynamic Digital Human Model control design for the assessment of the workstation ergonomics).
PhD thesis, 2013