- Highly dexterous robot hand can operate in the dark🔍
- Analysis and Evaluation of the Dexterity🔍
- The JamHand🔍
- Dexterous Manipulation for Manufacturing Applications Workshop🔍
- A hand|held instrumented device to quantify dexterous manipulation ...🔍
- A review on sensory perception for dexterous robotic manipulation🔍
- Deriving Dexterous🔍
- Learning and Re|Learning Dextrous Object Manipulation and Control🔍
On Dexterity and Dexterous Manipulation
Highly dexterous robot hand can operate in the dark -- just like us
And the fact that the hand does not rely on vision to manipulate objects means that it can do so in very difficult lighting conditions that ...
Each study approaches the dexterity of robotic grippers differently and characterizes dex- terity to different attributes. In general, dexterous manipulation ...
Here, we bypass this challenge by offering an alternative approach based on multi-finger material phase transition effects. By limiting our focus to dexterous ...
Dexterous Manipulation for Manufacturing Applications Workshop
teleoperation, dexterity control, cost-reduction in making robots precise ... dexterous manipulation, multiple arm control, controls architecture, and robotic ...
A hand-held instrumented device to quantify dexterous manipulation ...
Manual dexterity is often greatly affected in people with neurological insults. While traditional clinical evaluations use various methods to quantify hand ...
A review on sensory perception for dexterous robotic manipulation
Effective dexterous manipulation requires robotic hands to accurately feedback their state or perceive the surrounding environment. This article ...
Deriving Dexterous, In-Hand Manipulation Primitives for Adaptive ...
Traditionally, pinch, fingertip grasping and dexterous, in-hand manipulation tasks were executed with fully actuated, rigid robot hands and relied on analytic ...
Learning and Re-Learning Dextrous Object Manipulation and Control
Deficits of manual dexterity can arise from sensorimotor impairments due to normal aging and as a consequence of neuromotor injury such as stroke. Our long-term ...
See, Touch and Manipulate: Robot Learning for Dexterous ... - ANR
Dexterous manipulation has been a long-standing challenge in AI and robotics. Already Aristotle noted that the hand is the “tool of tools”, and Anaxagoras ...
Dexterity of Manipulator Arms at an Operating Point - User pages
For example, given a required dexterous workspace using the current methods, one cannot determine a suitable placement of the robotic arm to attain maximum ...
Reinforcing the Value of Simulation by Teaching Dexterity to a Real ...
... Dexterous Manipulation from Simulations to Reality. Applying simulation. Enter the NVIDIA Isaac robotics simulator, which enables robots to be ...
MyoDex: A Generalizable Prior for Dexterous Manipulation
Human dexterity is a hallmark of motor control behaviors. Our hands can rapidly synthesize new behaviors despite the complexity (multi-articular and multi ...
Now available for purchase, DEX-EE is an ideal hardware platform for dexterous manipulation research. Delivering dynamic and controlled motion in a robust ...
Xianyi Cheng: Going Beyond Human Dexterity
Cheng's work focuses on dexterous manipulation in robotics, emphasizing the need for robotic systems that can handle diverse complicated manual tasks.
Machine Learning for Robot Manipulation and Dexterity - YouTube
Grand Challenges in Robotics: Dexterity Conversation 5: Machine Learning for Robot Manipulation and Dexterity Wednesday, April 19, ...
New Startup Dexterity Adds Another Level of Intelligence to ...
... dexterous manipulation skills. With an initial focus on warehouse automation, Dexterity is using Kawasaki R series robots to package ...
Towards Human-Level Bimanual Dexterous Manipulation with ...
Achieving human-level dexterity is an important open problem in robotics. How- ever, tasks of dexterous hand manipulation, even at the baby level, ...
DexV2A : vision pretraining for dexterous manipulation
Achieving human-like dexterity for common daily tasks with a robotic hand is a challenging task for reinforcement learning. To combat the high ...
Highly dexterous robot hand can operate in the dark - Inceptive Mind
In this study, we've shown that robot hands can also be highly dexterous based on touch sensing alone. Once we also add visual feedback into the ...
Dexterous Manipulation for Manufacturing Applications Workshop
Keywords. manufacture, robot, dexterity, manipulation, grasp, performance. Manufacturing and Robotics in manufacturing. Citation. Falco, J ...