Linjiedian Demonstrates 72-Step Production Test With OmniHand; Takes 30 Seconds Longer Than Skilled Worker

leaderobot.com reported on Oct. 30, 2026, that Linjiedian’s OmniHand demonstrated a production test at the “2026 Zhiyuan Innovation Day — Dexterous Manipulation Forum,” held Oct. 29. According to the report, the hand autonomously performed 72 steps related to performance testing of another dexterous hand at a test workstation at the Linjiedian-Wolong joint production and manufacturing base in Shaoxing. The reported proof-of-concept results were a 98% success rate and 8.5 minutes per run, compared with 8 minutes for a skilled worker.

In the proof of concept reported by leaderobot.com, OmniHand performed 72 steps, with a reported 98% success rate and a time of 8.5 minutes per run. The figures could help factories considering dexterous hands compare the time and success rate for an entire process rather than a single movement, but they do not demonstrate that the results can be replicated in other processes or factories.

The reported demonstration focused not on the dexterous hand performing an isolated grasp, but on handling 72 steps in sequence at one workstation, including supplying, reading and securing parts, tightening screws, starting test equipment, removing items and clearing the station. The figures of a 98% success rate and 8.5 minutes per run allow comparison with real work, including the difference from a skilled worker’s 8 minutes. However, these are proof-of-concept results reported by the outlet and do not show that the same performance applies to different products or factories. The explanation of the system’s design is significant: It combined not only hand hardware but also visual and tactile feedback, reinforcement learning on a real robot and an agent framework for process assessment and scheduling. The report also described correcting the hand’s position when disturbances occurred and repeating steps after detecting a failure. The system being evaluated, therefore, is not just the performance of a “dexterous hand,” but also a control system that manages work steps as states and can recover from abnormalities. The article provided does not, however, specify detailed test conditions or the number of trials. A report by zhidx.com on factory-related developments involving Linjiedian, published by this newspaper on Oct. 29, covered activity in factories, but its summary alone is not enough to establish a connection with the current demonstration or confirm operating results. An article published the same day by leaderobot.com covers dexterous manipulation by Linjiedian and others is also not an independent verification document. The current report should be read as presenting proof-of-concept figures with limited scope, not as confirmation of results by multiple outlets. For industry, adopting a general-purpose dexterous hand requires checking not only how much it can replace dedicated fixtures or existing processes, but also process design, recovery from abnormalities and long-duration operation as a whole. The article also mentions the use of data collection gloves and learning on a real robot, pointing to an approach that links real-world work data collection with skill improvement and factory operations, but it does not clarify the amount of data or the effects of retraining. The next points to check are the number of proof-of-concept trials and evaluation conditions, how stoppages and failures are handled during continuous eight-hour operation, results from applying the system to other processes, and throughput and costs after installation. Until these are disclosed, the reported figures cannot be interpreted as productivity results for an entire mass-production line.