North, humanoid robot, Sharpa PTE. LTD., Singapore

[Administrator]

Developer - Sharpa PTE. LTD.

sharpa.com/pages/north

 

[Administrator]

Ping Pong AI Robot at CES by Sharpa!

Jan 8, 2026

Sharpa showcases its Ping Pong AI Robot at CES, demonstrating real-time vision, precision tracking, and lightning-fast reactions. Watch how AI and robotics are transforming sports and human-machine interaction.

Article "Meet North: Robot plays high-speed ping-pong with 0.02-second reaction time"
It features a 0.02-second reaction time, enabling it to process and respond to environmental changes almost the moment they occur.

by Mrigakshi Dixit
January 8, 2026

 

[Administrator]

Bimanual Robotic Dexterity: Apple Peeling Demo with Sharpa Wave

Mar 14, 2026

We believe we’re the first robotics company to demonstrate a robot peeling an apple with dual dexterous human-like hands. This breakthrough closes a key gap in robotics, achieving bimanual, contact-rich manipulation and moving far beyond the limits of simple grippers.

Today’s AI models (VLMs) are excellent at perception but struggle with action. Controlling high-degree-of-freedom hands for tasks like this is incredibly complex, and precise finger-level teleoperation is nearly impossible for humans. Our first step was a shared-autonomy system: rather than controlling every finger, the operator triggers pre-learned skills like a “rotate apple or tennis ball” primitive via a keyboard press or pedal. This makes scalable data collection and RL training possible.

How does the AI manage this? We created "MoDE-VLA" (Mixture of Dexterous Experts). It fuses vision, language, force, and touch data by using a team of specialist "experts," making control in high-dimensional spaces stable and effective. The combination of these two innovations allows for seamless, contact-rich manipulation. The human provides high-level guidance, and the robot executes the complex in-hand coordination required.

 

[Administrator]

Article "Video: Sharpa’s humanoid robot delicately peels apples with human-like hand motion"
MoDE-VLA doubled success in contact-rich tasks, achieving 73 percent apple peel completion with precise peel-and-rotate cycles.

by Jijo Malayil
March 30, 2026