Dextrous Task Performance

Media Summary: "MELTANT-α" was demostrated at "GITEX Technology Week 2019" in Dubai MELTANT-α demonstration at GITEX 2019. This is the accompanying video of our paper "Composing Biomimetic and compliant robotic hands offer the potential for human-like dexterity, but controlling them is challenging due to high ...

Dextrous Task Performance - Detailed Analysis & Overview

"MELTANT-α" was demostrated at "GITEX Technology Week 2019" in Dubai MELTANT-α demonstration at GITEX 2019. This is the accompanying video of our paper "Composing Biomimetic and compliant robotic hands offer the potential for human-like dexterity, but controlling them is challenging due to high ... Get FREE Robotics & AI Resources (Guide, Textbooks, Courses, Resume Template, Code & Discounts) – Sign up via the pop-up ... For more details, see: Reinforcement learning has delivered promising results in achieving ... [00:00] Intro [00:24] Tackles RL challenges using a visual backbone, efficient RL, and human feedback. [01:20] Pretrained ...

The wheeled humanoid neoDavid is with its 52 Degrees of freedom, 95 brushless dc motors, 184 position and 3 force sensors, ... UC San Diego researchers introduce Dex1B, a synthetic dataset featuring one billion high-quality demonstrations for robotic hand ... This paper identifies the culprits of naively com- bining learning-based controllers and state estimators for robotic in-hand ... I gave a lightning talk on my research, specifically REACT: A Conditioning Framework for User-Adaptive sEMG Hand Pose ...

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Dextrous task performance

Composing Dextrous Grasping and In-Hand Manipulation via Scoring w/ a Reinforcement Learning Critic

Sampling-Based Model Predictive Control for Dexterous Manipulation on Biomimetic Tendon-Driven Hand

DexGen: Control Robot Hand with Imitation & Reinforcement Learning for Dexterous Manipulation

DexCap: Scalable and Portable Mocap DataCollection System for Dexterous Manipulation

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

neoDavid - A humanoid robot with variable stiffness actuation and dexterous manipulation skills

Dex1B—A Billion-Scale Dataset and Generative Model for Dexterous Robotic Manipulation

Training robotic dexterous manipulation skills

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost

Estimator-Coupled Reinforcement Learning for Robust Purely Tactile In-Hand Manipulation

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Dextrous task performance

Dextrous task performance

"MELTANT-α" was demostrated at "GITEX Technology Week 2019" in Dubai MELTANT-α demonstration at GITEX 2019.

Composing Dextrous Grasping and In-Hand Manipulation via Scoring w/ a Reinforcement Learning Critic

Composing Dextrous Grasping and In-Hand Manipulation via Scoring w/ a Reinforcement Learning Critic

This is the accompanying video of our paper "Composing

Sampling-Based Model Predictive Control for Dexterous Manipulation on Biomimetic Tendon-Driven Hand

Sampling-Based Model Predictive Control for Dexterous Manipulation on Biomimetic Tendon-Driven Hand

Biomimetic and compliant robotic hands offer the potential for human-like dexterity, but controlling them is challenging due to high ...

DexGen: Control Robot Hand with Imitation & Reinforcement Learning for Dexterous Manipulation

DexGen: Control Robot Hand with Imitation & Reinforcement Learning for Dexterous Manipulation

Get FREE Robotics & AI Resources (Guide, Textbooks, Courses, Resume Template, Code & Discounts) – Sign up via the pop-up ...

DexCap: Scalable and Portable Mocap DataCollection System for Dexterous Manipulation

DexCap: Scalable and Portable Mocap DataCollection System for Dexterous Manipulation

... refine and further improve

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

For more details, see: https://toruowo.github.io/recipe/ Reinforcement learning has delivered promising results in achieving ...

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

[00:00] Intro [00:24] Tackles RL challenges using a visual backbone, efficient RL, and human feedback. [01:20] Pretrained ...

neoDavid - A humanoid robot with variable stiffness actuation and dexterous manipulation skills

neoDavid - A humanoid robot with variable stiffness actuation and dexterous manipulation skills

The wheeled humanoid neoDavid is with its 52 Degrees of freedom, 95 brushless dc motors, 184 position and 3 force sensors, ...

Dex1B—A Billion-Scale Dataset and Generative Model for Dexterous Robotic Manipulation

Dex1B—A Billion-Scale Dataset and Generative Model for Dexterous Robotic Manipulation

UC San Diego researchers introduce Dex1B, a synthetic dataset featuring one billion high-quality demonstrations for robotic hand ...

Training robotic dexterous manipulation skills

Training robotic dexterous manipulation skills

Exploring the

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost

Dexterous

Estimator-Coupled Reinforcement Learning for Robust Purely Tactile In-Hand Manipulation

Estimator-Coupled Reinforcement Learning for Robust Purely Tactile In-Hand Manipulation

This paper identifies the culprits of naively com- bining learning-based controllers and state estimators for robotic in-hand ...

Lightning talk - ICRA 2026 Robotic Dextrous Manipulation Workshop

Lightning talk - ICRA 2026 Robotic Dextrous Manipulation Workshop

I gave a lightning talk on my research, specifically REACT: A Conditioning Framework for User-Adaptive sEMG Hand Pose ...