, /PRNewswire/ — TARS Robotics, an AI-pushed embodied intelligence company, made a ancient debut by demonstrating a humanoid robot able to performing hand embroidery. At some point soon of a live tournament, the robot performed the tender, prolonged-sequence job of threading a needle and stitching a model with each and each fingers. This feat requires sub-millimeter precision, adaptive power alter, and coordinated bimanual manipulation of flexible materials—a mix that has remained an unsolved effort in embodied intelligence except now. This leap forward in extremely-exciting, flexible manipulation successfully overcomes a principal industrial automation barrier, enabling robots to fabricate similarly advanced tasks relish intricate wire harness assembly and offering a brand recent pathway for shimmering manufacturing upgrades.
On the tournament, Dr. Chen Yilun, CEO of TARS, published that the well-known to crossing this technological boundary—prolonged deemed “not doable to automate”—lies in a systematic DATA-AI-PHYSICS trinity resolution. TARS’s human-centric SenseHub diagram captures prosperous, precise-world operational knowledge, which fuels the TARS AWE (AI World Engine) 2.0. This embodied AI mannequin learns generalizable skills for actual bodily alter, capabilities which would be fully realized on TARS’s T- and A-Sequence robots. Engineered with a “minimal digital-to-bodily gap,” these robots translate AI capabilities into stable actions in the bodily world.
Dr. Chen added that TARS has thereby established a total technological closed loop—from precise-world knowledge generation and shimmering decision-making to bodily execution. This offers a replicable, scalable engineering pathway for embodied intelligence to enter precise-world manufacturing and on a each day basis lifestyles, particular person that aligns with Scaling Legislation.
Dr. Ding Wenchao, Chief Scientist of TARS, said: “Leveraging the massive knowledge from SenseHub and guided by the AWE 2.0 mannequin, now we occupy viewed a bounce forward in job success rates across more than one eventualities. As we proceed to scale our knowledge and scheme our mannequin structure, we foresee recent breakthroughs in our robots’ intelligence and generalization capabilities, with the final map of deploying them across every substitute and family.”
Since its founding on February 5, 2025, TARS has—in not up to a year—efficiently deployed its core algorithms in purposeful applications and performed continuous performance upgrades for its developed robotic platforms. The corporate is pushed by its mission to assemble trusted AI robotics resolution and is backed by stable investor red meat up, at the side of a $120 million Angel Spherical from investors similar to Lanchi Ventures and a subsequent $122 million Angel+ Spherical.
SOURCE TARS Robotics

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