- "Anthropomorphic Control of a Dexterous Artificial Hand via Task ...🔍
- Hand Posture Subspaces for Dexterous Robotic Grasping🔍
- The New Dexterity Adaptive🔍
- Are human hands more dexterous than the hands of the other apes?🔍
- The optimum design of robotic manipulators using dexterity indices🔍
- Generalization indicates asymmetric and interactive control ...🔍
- On|Line Interactive Dexterous Grasping🔍
- Exodex Adam—A Reconfigurable Dexterous Haptic User Interface ...🔍
Deriving dexterous
"Anthropomorphic Control of a Dexterous Artificial Hand via Task ...
... derived to reflect the task dependent control strategies adopted by the initial participants. These synergies were then mapped to a dexterous artificial ...
Hand Posture Subspaces for Dexterous Robotic Grasping
... deriving effective pre-grasp shapes for a number of complex robotic hands. We then show that the computational advantages of using a reduced dimensionality ...
The New Dexterity Adaptive, Humanlike Robot Hand - Academia.edu
The importance of the thumb is highlighted with the use of two individual tendon-routing systems for its control. An analytical model is employed to derive the ...
Are human hands more dexterous than the hands of the other apes?
... dexterous at all? ... This trend is the opposite for feet tho, with humans having an extremely derived, rigid foot with much less flexibility than ...
The optimum design of robotic manipulators using dexterity indices
The corresponding indices are also derived for spatial manipulators. Finally, an example is included to illustrate the use of these indices in the context of ...
Generalization indicates asymmetric and interactive control ...
... dexterous movements in the flexion and extension directions, through a finger dexterity task. ... derived from dissociable mechanisms ...
^ Tilde: Teleoperation for Dexterous In-Hand Manipulation Learning ...
We trained policies using either actuator joint positions or end-effector positions derived from forward kinematics as inputs, and we experimentally found ...
On-Line Interactive Dexterous Grasping - CS@Columbia
for the anthropomorphic models. (such as the DLR and Robonaut hands) and empirically derived subspaces for the non-anthropomorphic ones (such as the Barrett ...
dexterity, n. meanings, etymology and more | Oxford English Dictionary
dexteritynoun. Factsheet. Etymology. Meaning & use. Pronunciation. Frequency. Compounds & derived words ... dexterous, adj.1605–; dexterously, adv.1605 ...
Exodex Adam—A Reconfigurable Dexterous Haptic User Interface ...
The user does not need to wear any sensors. 6.1 Hand Model. The human hand model for the pose estimation is derived from MRI data and is based on Stillfried et ...
Inverse Kinematics and Dexterous Workspace Formulation for 2 ...
... dexterous workspace formulation, which is derived for the first time to the best of the authors' knowledge, is particularly useful to find the closest ...
Kinematic and dynamic analysis of a dexterous multi-fingered delta ...
Saha [Reference Saha11] has derived restricted dynamic equations of motion for the serial multibody systems. It has rigid bodies in the serial ...
Learning Safe and Robust Dexterous Manipulation
From our research, the actuator passivity is determined by the design choices in both hardware and software and can be used to derive conservative stability ...
Dexterous Object Manipulation with an Anthropomorphic Robot ...
However, the hand poses derived from these grasping taxonomies are limited to a partial range of adaptability that could be performed by the robot hand. In ...
The JamHand: Dexterous Manipulation with Minimal Actuation
30,31 The sections that follow include: a description of the JamHand's design and control approach, the derivation of an analytical model to describe the ...
A Data-Driven Framework for Learning Dexterous Manipulation of ...
Depending on the system's input dimensionality, these models can become non-trivial to derive. Additionally, accuracy of the manipulation is subject to.
Deep Dynamics Models For Learning Dexterous Manipulation
This content isn't available. Deep Dynamics Models For Learning Dexterous Manipulation. 493 views · 4 years ago ...more ...
Kinematics and Statics Analysis of Dexterous Hand - Atlantis Press
Then the kinematics model is established by using D-H parameter method, and the forward and inverse kinematics equations and Jacobian matrix are derived.
Representational Neural Mapping of Dexterous Grasping Before ...
The rationale for deriving β values from a deconvolution-based GLM approach was to use vRSA to assess our hypothesis that condition-specific ...
While there have been significant strides in dexterous manipulation, most of it is limited to benchmark tasks like in-hand reorientation which are of ...