EMG-driven shared human-robot compliant control for in-hand object manipulation in hand prostheses

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Background: Recently, we reported the presence of phantom thermal sensations in amputees: thermal stimulation of specific spots on the residual arm elicited thermal sensations in their missing hands. Here, we exploit phantom thermal sensations via a standa ...

Objective. Peripheral nerve interfaces have the potential to restore sensory, motor, and visceral functions. In particular, intraneural interfaces allow targeting deep neural structures with high selectivity, even if their performance strongly depends upon ...

Perception and interpretation of the terrain is essential for robot navigation, particularly in off-road areas, where terrain characteristics can be highly variable. When planning a path, features such as the terrain gradient and roughness should be consid ...

Robotic assistance via motorized robotic arm manipulators can be of valuable assistance to individuals with upper-limb motor disabilities. Brain-computer interfaces (BCI) offer an intuitive means to control such assistive robotic manipulators. However, BCI ...

Human postural control requires high coordination and is distributed over the whole musculoskeletal and nervous systems. Hence, postural balance can be impaired due to various pathologies. Efficient rehabilitation programs and technological solutions are t ...

Mobility in an effective and socially-compliant manner is an essential yet challenging task for robots operating in crowded spaces. Recent works have shown the power of deep reinforcement learning techniques to learn socially cooperative policies. However, ...

This paper reports on a 3 years applied research project dealing with several inspection scenarios of power plants and resulting in many robot prototypes and 3 main achievements. The project is a common effort between industry and university, including ALS ...

EMG-driven shared human-robot compliant control for in-hand object manipulation in hand prostheses

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Report A sensory-motor hand prosthesis with integrated thermal feedback

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

How Rough Is the Path? Terrain Traversability Estimation for Local and Global Path Planning

Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials

Postural Control and Consciousness and Their Applications to Lower-Limb Exoskeletons

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Highly Compact Robots for Inspection of Power Plants