| sEMG-based minimally supervised regression using soft-DTW neural networks for robot hand grasping control R Meattini, A Bernardini, G Palli, C Melchiorri IEEE Robotics and Automation Letters 7 (4), 10144-10151, 2022 | 11 | 2022 |
| Self-Supervised Regression Of sEMG Signals Combining Non-Negative Matrix Factorization with Deep Neural Networks for Robot Hand Multiple Grasping Motion Control R Meattini, A Caporali, A Bernardini, G Palli, C Melchiorri IEEE Robotics and Automation Letters 8 (12), 8533-8540, 2023 | 4 | 2023 |
| Neuromuscular Interfacing for Advancing Kinesthetic and Teleoperated Programming by Demonstration of Collaborative Robots R Meattini, A Amerí, A Bernardini, J Gonzalez-Huarte, A Ibarguren, ... IEEE Transactions on Haptics, 2024 | | 2024 |
| INTELLIMAN. WP4. Adaptive shared autonomy. T4_3. Human intent detection for autonomy arbitration. Self supervised myocontrol. v0 R Meattini, A Caporali, A Bernardini, G Palli, C Melchiorri University of Bologna, 2024 | | 2024 |
| Approaches for Exploiting Neural Networks for Semi-supervised Myoelectric Control of Robot Hands R Meattini, A Bernardini, A Caporali, G Palli, C Melchiorri European Robotics Forum, 327-332, 2024 | | 2024 |
| Simulative and Experimental Evaluation of a Soft-DTW Neural Network for sEMG-Based Robotic Grasping A Bernardini, R Meattini, G Palli, C Melchiorri International Workshop on Human-Friendly Robotics, 205-217, 2022 | | 2022 |
| REMODEL. WP3. User And System Interface. T3_7. Teaching By Demonstration Of Skills For New Assembly References And Tasks. sEMG based regression of hand grasping motions. v0 R Meattini, A Bernardini, G Palli, C Melchiorri University of Bologna, 2022 | | 2022 |
| Approaches for Exploiting Neural Networks for Semi-supervised R Meattini, A Bernardini, A Caporali, G Palli European Robotics Forum 2024: 15th ERF, Volume 1, 327, 0 | | |
| Extraction of Grasping Motions from sEMG Signals for the Control of Robotic Hands through Autoencoding A Bernardini | | |
