Embodied Dexterity Group
Nevada's Team CERBERUS readies for robotic underground terrain competition | University of Nevada, Reno
Berkeley's Blue AI-Powered Robotic Arm Is Human-Friendly and Cost-Effective - Hackster.io
Robotics | Free Full-Text | Is Artificial Man Still Far Away: Anthropomimetic Robots Versus Robomimetic Humans
Latest Robotics Research Releases 'Hora': A Single Policy Capable of Rotating Diverse Objects With a Dexterous Robot Hand - MarkTechPost
As robotic grasping improves, rivals debate the metrics of success | VentureBeat
dexterous manipulation Archives - The Robot Report
Robot hand learns to move like human hand
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots – Google AI Blog
Berkeley's two-armed robot hints at a new future for warehouses
Robots are leaving the factory floor and heading for your desk – and your job | Robots | The Guardian
PDF) Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration
Get a Grip! Berkeley Targets Dexterous Manipulation Using Deep RL | Synced
In Robotics, Human-Style Perception and Motion Are Elusive - The New York Times
Exclusive: This is the Most Dexterous Robot Ever Created - Ambi Robotics
Meet the most nimble-fingered robot ever built | Berkeley News
This five-fingered robot hand learns to get a grip on its own
Frontiers | The GummiArm Project: A Replicable and Variable-Stiffness Robot Arm for Experiments on Embodied AI
Integrated linkage-driven dexterous anthropomorphic robotic hand | Nature Communications
Experimental setup for dexterous manipulation (robotic hand,... | Download Scientific Diagram
This Robot Can Pick up More Than 260 Items Per Hour - YouTube
Dexterous manipulation: (a) T-shirt folding by NEXTAGE, 117 (b)... | Download Scientific Diagram
Can Your Robot Flip A Coin? Deep Dynamic Models Are Now Improving Robotic Dexterity
The Education of Brett the Robot | WIRED
Exclusive: This is the Most Dexterous Robot Ever Created - Ambi Robotics
This Robot Hand Taught Itself How to Grab Stuff Like a Human | WIRED
Reinforcement learning for robot research: A comprehensive review and open issues - Tengteng Zhang, Hongwei Mo, 2021
