leaderobot.com reports on Mogan Technology’s whole-body electronic skin

leaderobot.com reported on Oct. 28, 2026, on developments involving Mogan Technology’s whole-body electronic skin.

The report focuses on electronic skin that enables robots to handle touch across their bodies. However, this is secondary reporting, and we do not treat the reported technology’s specifications or performance as verified facts. When considering touch, it is important to distinguish what sensors measure, how measurements are linked to actions and which tasks have been evaluated on physical robots. These are often described as a single, continuous capability, but the ability to measure something alone does not prove that a robot can respond appropriately to a situation. Related stories from this newspaper include AGIBOT updates Genie Sim, reports on simulation of deformable objects and correlation with real robots (Oct. 28, 2026) and AGIBOT reportedly releases “Physical Reasoning” dataset for reasoning training (Oct. 26, 2026). The former focuses on the relationship between simulation and physical robots, while the latter concerns data for reasoning training; they raise different issues from the report on tactile technology. In addition, leaderobot.com reports on embodied intelligence evaluation ranking led by the University of Hong Kong (Oct. 28, 2026) covers an evaluation ranking. These should not be combined into a single performance metric. Distinguishing among sensory inputs, training materials, simulation and real-world validation, and evaluation methods is essential to avoid misreading robots’ capabilities. Assessing the practicality of whole-body electronic skin requires information not only about which body parts it covers, but also about the signals it acquires, measurement conditions, how it is integrated into the robot and the evaluation metrics for each task. It is also necessary to establish whether the same metrics can be compared across different robots and environments, and how tactile information affects action selection. Without this information, sensor performance cannot be separated from the capabilities of the robot as a whole. We cannot verify these points based only on the reporting available to us. Because the source is secondary reporting, please refer to the original source for details.