Rubagotti M 1

1. Haptic Devices: Wearability-Based Taxonomy and Literature Review
2. End-to-End Deep Fault-Tolerant Control
3. Constrained Model Predictive Control With Integral Action for Twin Rotor MIMO Systems
4. A General Framework for Switched and Variable Gain Higher Order Sliding Mode Control
5. Human–robot handover with prior-to-pass soft/rigid object classification via tactile glove
6. E-BTS: Event-Based Tactile Sensor for Haptic Teleoperation in Augmented Reality
7. Deep Imitation Learning of Nonlinear Model Predictive Control Laws for a Safe Physical Human-Robot Interaction
8. Nonlinear model predictive control with set terminal constraint for safe robot motion planning via speed and separation monitoring
9. Safely Imitating Predictive Control Policies for Real-Time Human-Aware Manipulator Motion Planning: A Dataset Aggregation Approach
10. Safety-Aware Nonlinear Model Predictive Control for Physical Human-Robot Interaction
11. Scenario-based model predictive control with probabilistic human predictions for human–robot coexistence
12. A Discrete-Time Integral Sliding Mode Control Law for Systems With Matched and Unmatched Disturbances
13. Constrained Nonlinear Discrete-Time Sliding Mode Control Based on a Receding Horizon Approach
14. Perceived safety in physical human–robot interaction—A survey
15. Shared Control of Robot Manipulators With Obstacle Avoidance: A Deep Reinforcement Learning Approach
16. Partially Observable Markov Decision Processes in Shared Autonomy Applications: A Survey
17. Perceived Intelligence in Human-Robot Interaction: A Review
18. Perceived safety in human–cobot interaction for fixed-path and real-time motion planning algorithms
19. Adaptive super-twisting sliding mode control for maximum power point tracking of PMSG-based wind energy conversion systems
20. Deep reinforcement learning for PMSG wind turbine control via twin delayed deep deterministic policy gradient (TD3)
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