Allegro Hand

HI! Allegro Hand Highly Adaptive. Human Inspired

HI! Allegro Hand Highly Adaptive. Human Inspired

Product

Highly Adaptive Robotic Hand

Combining vision-based tactile sensing and palm pressure sensing to detect diverse contact information and support precise manipulation.

Allegro Hand V6 V

View more
Combining pressure sensing across key contact areas with precise control for seamless integration across a wide range of robotic systems.

Allegro Hand V6 F

View more
Robotic hand with 16 pressure sensing channels and human-like versatile grasping capability

Allegro Hand V5 Sense

View more
16-DOF structure, equipped with a 360-degree omnidirectional pressure-sensitive tactile sensor

Allegro Hand V5 Plus

View more
9-DOF structure, equipped with a 360-degree omnidirectional pressure-sensitive tactile sensor

Allegro Hand V5

View more
Cost-effective and highly adaptive robotic hand

Allegro Hand V4

View more

Allegro Story

Technology that’s practical,
adaptive and built for tomorrow.

View more WONIK ROBOTICS

News

Check the latest news and various information

“Beyond Manipulation: Evolving into a Data Platform” Wonik Robotics Launches 5-Finger Robotic Hand, ‘Allegro Hand V6 F’

WONIK ROBOTICS Wins Minister's Award from the Ministry of Trade, Industry and Energy for 'Allegro Hand V5 Plus'

[Research] Bio-Skin: A Cost-Effective Thermostatic Tactile Sensor with Multi-Modal Force and Temperature Detection

[Research] Curriculum-based Sensing Reduction in Simulation to Real-World Transfer for In-hand Manipulation

[Research] Contact-Grounded Policy: Dexterous Visuotactile Policy with Generative Contact Grounding

Wonik to Participate in SEMICON Korea 2026

Allegro Hand: A Sneak Peek at Key Technologies and New Products Unveiling at CES 2026!

GelSight and Meta AI unveil Digit 360 tactile sensor for robotic fingers

Meta is making a robot hand that can ‘feel’ touch

South Korean researchers develop robotic fingers with pressure sensitivity

Twisting Lids Off with Two Hands

In-Hand Object Rotation via Rapid Motor Adaptation

Video