- Dexterous robotic hands manipulate thousands of objects with ease🔍
- An Overview of Dexterous Manipulation🔍
- Our latest advances in robot dexterity🔍
- Ling Tang is Advancing Robotic Dexterity🔍
- Robot Manipulation and Dexterity🔍
- Grand Challenges in Robotics Dexterity🔍
- Highly dexterous robot hand can operate in the dark🔍
- On Dexterity and Dexterous Manipulation🔍
Robot Manipulation and Dexterity
Dexterous robotic hands manipulate thousands of objects with ease
A new robot system can reorient over 2000 different objects, with a robotic hand facing both upwards and downwards.
An Overview of Dexterous Manipulation - Stanford University
We first define robotic dexterous manipulation in comparison to traditional robotics and human manipulation. Next, kinematics, contact types and forces are used ...
Our latest advances in robot dexterity - Google DeepMind
The future of robot dexterity ... Robotics is a unique area of AI research that shows how well our approaches work in the real world. For example, ...
Ling Tang is Advancing Robotic Dexterity
Tang's focus lies in enabling robotic hands to comprehend and adapt to the dynamics between tools, manipulated objects, and their environment.
Robot Manipulation and Dexterity - ARMLab Stanford
We believe robotic dexterity is the catalyst challenge to having ubiqitous robots that may assist in caring for the elderly, manufacturing, agriculture and ...
Grand Challenges in Robotics Dexterity: the Potential and Path ...
Yet the potential economic and societal impact of dexterous robotic manipulation is enormous, spanning fields such as manufacturing, warehouse ...
Highly dexterous robot hand can operate in the dark
Robot grippers and suction cups can pick and place items, but more dexterous tasks such as assembly, insertion, reorientation and packaging have ...
On Dexterity and Dexterous Manipulation
Abstract—This paper presents a high-level discussion of dexterity in robotic systems, focusing particularly on manipulation and hands.
Dexterous Manipulation with Controlled Sliding
The ability to conduct within-hand manipulation provides significant dexterity and flexibility advantages, which would greatly benefit robots operating in ...
Robotic Dexterous Grasping and Manipulation: End Effectors ...
Dexterous manipulation, especially dexterous grasping, is a primitive and critical capability of robots that allows the realization of performing human-like ...
Enhancing Dexterity in Robotic Manipulation via Hierarchical ... - arXiv
This framework explores in-hand and extrinsic dexterity by leveraging contacts. It generates rigid-body motions and complex contact sequences.
Extrinsic Dexterity: In-Hand Manipulation with External Forces
The common approach to in-hand manipulation with robotic hands, known as dexterous manipulation [1], is to hold an object within the fingertips of the hand and ...
We've trained a human-like robot hand to manipulate physical objects with unprecedented dexterity.
Dexterous manipulation is a critical bottleneck to the wide adoption of robotics. The ability to deftly manipulate objects with a wide range of properties would ...
Eureka! Extreme Robot Dexterity with LLMs | NVIDIA Research Paper
A new AI agent developed by NVIDIA Research that can teach robots complex skills has trained a robotic hand to perform rapid pen-spinning ...
A Roadmap to Progress Measurement Science in Robot Dexterity ...
Dexterous manipulation has been defined as “an area of robotics in which multiple manipulators, or fingers, cooperate to grasp and manipulate objects” [2]. This ...
Highly Dexterous Robot Hand Can Operate in the Dark — Just Like Us
Researchers at Columbia Engineering have demonstrated a highly dexterous robot hand, one that combines an advanced sense of touch with motor learning ...
New center to improve robot dexterity selected to receive up to $52 ...
Called Human AugmentatioN via Dexterity (HAND), the new ERC will develop dexterous robot hands with the ability to assist humans with ...
Evolving humanoid robotic dexterity from toddler to adult
Many general-purpose humanoid robots are still very clumsy and infantile with their hands compared to their human counterparts.
Robot dexterity - MIT Technology Review
Using what's known as reinforcement learning, neural-network software learns how to grasp and turn the block within a simulated environment ...