This paper evaluates state-of-the-art contact models at predicting the motions and forces involved in simple in-hand robotic manipulations. In particular it focuses on three primitive actions—linear sliding, pivoting, and rolling—that involve contacts between a gripper, a rigid object, and their environment. The evaluation is done through thousands of controlled experiments designed to capture the motion of object and gripper, and all contact forces and torques at 250 Hz. We demonstrate that a contact modeling approach based on Coulomb’s friction law and maximum energy principle is effective at reasoning about interaction to first order, but limited for making accurate predictions. We attribute the major limitations to (1) the non-uniquenes...
This paper describes a physically-based simulation for grasping tasks in an interactive environment....
Grasping and dexterous manipulation is a huge area in the current robotic research field. Traditiona...
Physics simulation is ubiquitous in robotics. Whether in model-based approaches (e.g., trajectory op...
There are several applications in robotics and manufacturing in which nominally rigid objects are su...
Compliance is a key factor during physical interactions between agents and objects, allowing delicat...
This thesis addresses several issues in modelling interaction with human hands in computer graphics...
Performing a grasp is a pivotal capability for a robotic gripper. We propose a new evaluation approa...
<p>A high-fidelity and tractable mechanics model of physical interaction is essential for autonomous...
In this paper some applications of dexterous robotic hands to fine manipulation operations are discu...
Abstract This paper considers the effect of natural material compliance on the stiffness and stabili...
This thesis addresses several issues in modelling interaction with human hands in computer graphics ...
The ability to grasp is a significant function of many robotic hands, whether it be for fruit-pickin...
In the absence of vision, grasping an object often relies on tactile feedback from the fingertips. A...
As robots get closer to humans, their ability to safely interact with unstructured environments pro...
In this article we compare theoretical and experimental tra-jectories obtained for sliding an object...
This paper describes a physically-based simulation for grasping tasks in an interactive environment....
Grasping and dexterous manipulation is a huge area in the current robotic research field. Traditiona...
Physics simulation is ubiquitous in robotics. Whether in model-based approaches (e.g., trajectory op...
There are several applications in robotics and manufacturing in which nominally rigid objects are su...
Compliance is a key factor during physical interactions between agents and objects, allowing delicat...
This thesis addresses several issues in modelling interaction with human hands in computer graphics...
Performing a grasp is a pivotal capability for a robotic gripper. We propose a new evaluation approa...
<p>A high-fidelity and tractable mechanics model of physical interaction is essential for autonomous...
In this paper some applications of dexterous robotic hands to fine manipulation operations are discu...
Abstract This paper considers the effect of natural material compliance on the stiffness and stabili...
This thesis addresses several issues in modelling interaction with human hands in computer graphics ...
The ability to grasp is a significant function of many robotic hands, whether it be for fruit-pickin...
In the absence of vision, grasping an object often relies on tactile feedback from the fingertips. A...
As robots get closer to humans, their ability to safely interact with unstructured environments pro...
In this article we compare theoretical and experimental tra-jectories obtained for sliding an object...
This paper describes a physically-based simulation for grasping tasks in an interactive environment....
Grasping and dexterous manipulation is a huge area in the current robotic research field. Traditiona...
Physics simulation is ubiquitous in robotics. Whether in model-based approaches (e.g., trajectory op...