SynGrasp is a MATLAB toolbox developed for the analysis of grasping, suitable both for robotic and human hands. It includes functions for the definition of hand kinematic structure and of the contact points with a grasped object. The coupling between joints induced by an underactuated control can be modeled. The hand modeling allows to define compliance at the contact, joint and actuator levels. The provided analysis functions can be used to investigate the main grasp properties: controllable forces and object displacement, manipulability analysis, grasp quality measures. Functions for the graphical representation of the hand, the object and the main analysis results are provided
This paper presents a methodology to accurately record human finger postures during grasping. The ma...
This paper presents a new technique to analyze the grasp stability of two-phalanx underactuated fing...
Grasping and dexterous manipulation remain fundamental challenges in robotics, above all when perfor...
SynGrasp is a MATLAB toolbox developed for the analysis of grasping, suitable both for robotic and ...
SynGrasp is a MATLAB toolbox for grasp analysis of fully or underactuated robotic hands with complia...
Throughout this book, we have described how neuroscientific findings on synergistic organization of ...
As described in Chaps. 2–5, neuroscientific studies showed that the control of the human hand is mai...
AbstractRobot simulators have supported the science of robotics for a long period and have been an i...
In dexterous grasping, the development of simple but practical hands with reduced number of actuator...
The aim of this paper is to derive the synergies subspace of an anthropomorphic robotic hand using t...
To adapt to many different objects and tasks, hands are very complex systems with many degrees of fr...
The human hand is a versatile and complex system with dexterous manipulation capabilities. For the t...
The grasping and manipulability force decomposition, the mobility analysis, the role of elastic tend...
The scientific goal of HANDS.DVI consists of developing a common framework to programming robotic h...
With the rise autonomous and robotic systems in field applications, the need for dexterous, highly a...
This paper presents a methodology to accurately record human finger postures during grasping. The ma...
This paper presents a new technique to analyze the grasp stability of two-phalanx underactuated fing...
Grasping and dexterous manipulation remain fundamental challenges in robotics, above all when perfor...
SynGrasp is a MATLAB toolbox developed for the analysis of grasping, suitable both for robotic and ...
SynGrasp is a MATLAB toolbox for grasp analysis of fully or underactuated robotic hands with complia...
Throughout this book, we have described how neuroscientific findings on synergistic organization of ...
As described in Chaps. 2–5, neuroscientific studies showed that the control of the human hand is mai...
AbstractRobot simulators have supported the science of robotics for a long period and have been an i...
In dexterous grasping, the development of simple but practical hands with reduced number of actuator...
The aim of this paper is to derive the synergies subspace of an anthropomorphic robotic hand using t...
To adapt to many different objects and tasks, hands are very complex systems with many degrees of fr...
The human hand is a versatile and complex system with dexterous manipulation capabilities. For the t...
The grasping and manipulability force decomposition, the mobility analysis, the role of elastic tend...
The scientific goal of HANDS.DVI consists of developing a common framework to programming robotic h...
With the rise autonomous and robotic systems in field applications, the need for dexterous, highly a...
This paper presents a methodology to accurately record human finger postures during grasping. The ma...
This paper presents a new technique to analyze the grasp stability of two-phalanx underactuated fing...
Grasping and dexterous manipulation remain fundamental challenges in robotics, above all when perfor...