The ability to grasp is a significant function of many robotic hands, whether it be for fruit-picking or manufacturing tasks. Two major theories often used in conjunction to model grasping are Nguyen’s theorem and Coulomb’s friction law. Both theories model the contact between the fingers and the object in grasp as at a point. This runs true when the fingers and the object in grasp are made of hard materials. However, when the fingers or the object are soft, they deform around each other and result in a contact area between the objects rather than a contact point. This contact area means that soft-fingered grasps can apply an additional moment to balance any external moments, of which hard fingers cannot. To account for this, the soft-finge...
Currently, the design of many robotics hands integrates soft pads as mechanical interface between fi...
The study on the human grip has inspired to the robotics over the past decades, which has resulted i...
The objective of this paper is to simulate the human hand when grasping an object, considering the a...
This paper presents a method for building analytical contact models for soft fingers. Friction const...
Contact models for soft fingertips are able to precisely compute deformation when information about ...
Human fingers possess mechanical characteristics, which enable them to manipulate objects. In roboti...
This paper presents a novel analysis for the effects of softness at the fingertip on the manipulabil...
The human hand is unrivaled in its ability to grasp and manipulate objects, but we still do not unde...
In this study, we experimentally investigated the effect of robot fingertip stiffness on friction du...
Most available methods that predict the forces necessary to grasp an arbitrary object treat the obje...
The precision grasping capabilities of robotic hands is a key feature which is more and more require...
As robots get closer to humans, their ability to safely interact with unstructured environments pro...
This chapter introduces fundamental models of grasp analysis. The overall model is a coupling of mod...
Contact interactions between the hand and handle, such as the contact surface softness and contact s...
This paper evaluates state-of-the-art contact models at predicting the motions and forces involved i...
Currently, the design of many robotics hands integrates soft pads as mechanical interface between fi...
The study on the human grip has inspired to the robotics over the past decades, which has resulted i...
The objective of this paper is to simulate the human hand when grasping an object, considering the a...
This paper presents a method for building analytical contact models for soft fingers. Friction const...
Contact models for soft fingertips are able to precisely compute deformation when information about ...
Human fingers possess mechanical characteristics, which enable them to manipulate objects. In roboti...
This paper presents a novel analysis for the effects of softness at the fingertip on the manipulabil...
The human hand is unrivaled in its ability to grasp and manipulate objects, but we still do not unde...
In this study, we experimentally investigated the effect of robot fingertip stiffness on friction du...
Most available methods that predict the forces necessary to grasp an arbitrary object treat the obje...
The precision grasping capabilities of robotic hands is a key feature which is more and more require...
As robots get closer to humans, their ability to safely interact with unstructured environments pro...
This chapter introduces fundamental models of grasp analysis. The overall model is a coupling of mod...
Contact interactions between the hand and handle, such as the contact surface softness and contact s...
This paper evaluates state-of-the-art contact models at predicting the motions and forces involved i...
Currently, the design of many robotics hands integrates soft pads as mechanical interface between fi...
The study on the human grip has inspired to the robotics over the past decades, which has resulted i...
The objective of this paper is to simulate the human hand when grasping an object, considering the a...