Daimon Robotics and Galbot jointly launches RobOmni for benchmarking tactile perception and dexterous manipulation
# RobOmni: New Benchmark for Touch-Sensing Robot Hands
Daimon Robotics and Galbot have jointly launched RobOmni, a benchmarking platform designed to evaluate how well robots can perceive and manipulate objects through tactile sensing—essentially, how accurately they can "feel" what they're handling. The platform provides standardized tests for dexterous manipulation tasks, allowing developers to measure and compare robotic systems' ability to handle objects with precision and sensitivity, moving beyond vision-based perception alone.
The development reflects a shift in robotics from relying primarily on cameras and visual data toward integrated "Physical AI" systems that combine touch feedback with movement control. For automation integrators and logistics operators, this matters because tactile perception enables robots to work with fragile items, variable shapes, and tasks requiring grip adjustment—scenarios where vision alone often falls short. A robot that can reliably sense pressure, texture, and object position through its fingers becomes more versatile across warehousing, assembly, and materials handling applications.
From a practical standpoint, benchmarking standards like RobOmni help establish common evaluation criteria across the industry. This allows operators and integrators to make more direct performance comparisons when selecting robotic systems, rather than relying on manufacturer claims alone. However, whether such benchmarks will translate directly into real-world task performance depends on how closely test conditions match actual operational environments.