Robotics

Intelligence that acts in the physical world. Dexterous manipulation, autonomous navigation, and embodied reasoning that bridges the gap between digital understanding and physical presence.

Machines that don't just understand the world — they move through it with the adaptability and dexterity of biological systems.

89%

First-Attempt Grasp

96.2%

Navigation Success

Degrees of Freedom

14%

Sim-to-Real Gap

Focus Areas

Dexterous Manipulation

Zero-shot motor control with 24-DOF hands and 192-taxel tactile sensing — no human demonstrations required.

Autonomous Navigation

Neural implicit spatial memory that navigates unstructured environments without pre-built maps.

Sim-to-Real Transfer

Closing the gap between simulated training and physical deployment through domain randomization and residual adaptation.

Perception Integration

Combining Odyssey's decision intelligence with Object Class's motor planning for intelligent physical interaction.

Publications

2026-03-12

Object Class: First Steps: Learning Dexterous Manipulation from Scratch

How Object Class learns to manipulate physical objects with human-like dexterity — without human demonstrations.

Webbeon Robotics Team

2026-02-25

Navigation Without Maps: Embodied Intelligence in Unstructured Environments

How Object Class navigates complex, unstructured environments using perception alone — no pre-built maps required.

Webbeon Robotics Team

2026-01-30

The Sim-to-Real Gap: What We've Learned Transferring Intelligence to Hardware

Bridging the divide between simulated training and real-world deployment — lessons from 10,000 hours of physical testing.

Webbeon Robotics Team