Category: Research

The research interests of my team are as follows:

A New Family of Adaptive Hands
We work on the development of a new family of adaptive, intrinsically-compliant, under-actuated robot hands.

Robust Grasping
We develop methodologies for executing robust grasping in presence of object pose uncertainties or other environmental uncertainties and disturbances (including aerial grasping).

Dexterous, In-Hand Manipulation
We work on the development of hybrid schemes that combine analytical, numerical and learning methods for simplifying dexterous manipulation with simple, adaptive robot hands.

Single-Grasp, Model-Free Object Identification
We develop haptic object identification methodologies of minimal complexity (e.g., single-grasp, model-free).

Modelling the Post-Contact Behaviour of Adaptive Hands
We work on the analysis and modelling of the post-contact behaviour of adaptive robot hands.

Soft, Adaptive Exogloves
We work on the analysis, modelling and development of soft, adaptive exogloves for rehabilitation and human augmentation.

Learning Schemes for EMG/EEG Based Interfaces
We formulate advanced learning schemes for intuitive and simplified EMG/EEG based control of robotic and prosthetic devices.

Teleoperation and Telemanipulation
We formulate advanced teleoperation and telemanipulation schemes for robot arm hand systems.

Evaluating the Dexterity of Human and Robot Hands
We are interested in evaluating the dexterity of human and robot hands, deriving appropriate metrics for design optimization.

Reconfigurable Drones for Package Delivery
We are developing a new class of reconfigurable drones for package delivery.

Modular, Accessible, Sensorized Objects for Evaluating the Grasping and Manipulation Capabilities of Grippers and Hands

The human hand is Nature’s most versatile and dexterous end-effector and it has been a source of inspiration for roboticists for over 50 years. Recently, significant industrial and…

A Learning Scheme for EMG Based Decoding of Dexterous, In-Hand Manipulation Motions

Electromyography (EMG) based interfaces are the most common solutions for the control of robotic, orthotic, prosthetic, assistive, and rehabilitation devices, translating myoelectric activations into meaningful actions. Over the…