Daimon Robotics and Galbot Launch RobOmni for Tactile Perception Benchmarking

Embodied AI is shifting from vision-centric perception toward Physical AI. While vision enables robots to perceive the world, it cannot fully capture the physical interactions that underpin real-world manipulation, limiting robots' ability to operate reliably in unstructured environments. Tactile sensing is increasingly recognized as a key modality, providing critical physical feedback beyond vision, helping robots understand and interact with the physical world.

The industry lacks a standardized way to evaluate the impact of tactile sensing. Without unified benchmarks, it remains challenging to compare systems, measure progress, or determine which tactile perception deliver meaningful improvements in real-world tasks. Daimon Robotics has launched RobOmni, the first omni-modal evaluation benchmark including tactile sensing for physical interaction.

Many real-world robotic applications require more than vision alone. Tasks such as grasping, insertion, assembly, object placement, and tool handling depend heavily on physical interaction. Humans naturally rely on tactile to determine whether an object is slipping, how much force is being applied, whether a material is soft or rigid, and how components fit together during assembly.

Daimon Robotics refers to its approach as 'omni-modal tactile intelligence'. Its self-developed vision-based tactile sensors capture multidimensional tactile information at high frequency and high resolution. The sensors provide information about contact deformation, slip, material properties, geometry, texture, softness, and hardness.

RobOmni was developed to provide a reproducible framework for evaluating physical interaction in robotic systems. Built on NVIDIA Isaac Sim, the platform combines high-fidelity simulation with standardized benchmarks centered on contact-rich manipulation tasks. The platform provides omni-modal information and focuses on contact-rich manipulation tasks where tactile information can have a measurable impact.

The benchmark suite includes dozens of manipulation scenarios such as grasping, placement, precision insertion and component assembly. These tasks reflect operational challenges commonly encountered in manufacturing, service robotics, and embodied AI applications. RobOmni evaluates performance across multiple dimensions, including support for tactile ablation testing.

RobOmni includes a 1:1 digital twin of Daimon’s DM-TacClaw tactile gripper and will later expand to five-finger glove simulation suite. It also includes multiple mainstream robot embodiments, enabling cross-embodiment evaluation under one unified framework. RobOmni supports large-scale parallel evaluation, allowing multiple evaluations to run simultaneously for scalable, rapid validation and benchmarking.