ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯥꯔ ꯍꯟꯊꯍꯅꯕꯥ꯫

ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯥꯔ ꯍꯟꯊꯍꯅꯕꯥ ꯍꯥꯌꯕꯁꯤ ꯀꯔꯤꯅꯣ?

ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯔ ꯍꯟꯊꯍꯅꯕꯥ ꯍꯥꯌꯕꯁꯤ ꯅꯨꯃꯤꯠꯀꯤ ꯒꯤꯌꯔ ꯑꯃꯥ, ꯑꯣꯔꯕꯤꯇꯤꯡ ꯄ꯭ꯂꯥꯅꯦꯠ ꯒꯤꯌꯔꯁꯤꯡ ꯑꯃꯁꯨꯡ ꯔꯤꯡ ꯒꯤꯌꯔ ꯑꯃꯅꯥ ꯄꯨꯟꯅꯥ ꯊꯕꯛ ꯇꯧꯃꯤꯟꯅꯗꯨꯅꯥ ꯔꯣꯇꯦꯁꯅꯦꯜ ꯁ꯭ꯄꯤꯗ ꯍꯟꯊꯍꯟꯅꯕꯥ ꯑꯃꯁꯨꯡ ꯀꯝꯄꯦꯛꯇ, ꯀꯣꯑꯦꯛꯁꯦꯜ ꯑꯦꯔꯦꯟꯖꯃꯦꯟꯇ ꯑꯃꯒꯤ ꯃꯅꯨꯡꯗꯥ ꯇꯣꯔꯛ ꯃꯁꯤꯡ ꯌꯥꯝꯅꯥ ꯍꯦꯅꯒꯠꯍꯟꯅꯕꯥ ꯊꯕꯛ ꯇꯧꯃꯤꯟꯅꯔꯤꯕꯥ ꯃꯦꯀꯥꯅꯤꯀꯦꯜ ꯄ꯭ꯔꯤꯟꯁꯤꯄꯜ ꯑꯃꯁꯨꯡ ꯃꯦꯀꯥꯅꯤꯖꯝ ꯑꯗꯨꯕꯨ ꯈꯪꯅꯩ꯫ ꯏꯆꯝ ꯆꯝꯕꯥ ꯒꯤꯌꯔ ꯇ꯭ꯔꯦꯅꯁꯤꯡꯒꯥ ꯃꯥꯟꯅꯗꯅꯥ, ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯍꯟꯊꯍꯅꯕꯅꯥ ꯃꯁꯤꯡ ꯌꯥꯝꯂꯕꯥ ꯑꯃꯒꯥ ꯑꯃꯒꯥ ꯃꯦꯁꯤꯡ ꯇꯧꯕꯥ ꯄ꯭ꯂꯥꯅꯦꯠ ꯒꯤꯌꯔꯁꯤꯡꯗꯥ ꯂꯣꯗ ꯌꯦꯟꯊꯣꯀꯏ, ꯃꯁꯤꯅꯥ ꯇꯣꯔꯛ ꯀꯦꯄꯥꯁꯤꯇꯤ ꯍꯦꯟꯅꯥ ꯋꯥꯡꯕꯥ ꯑꯃꯁꯨꯡ ꯁꯥꯏꯖꯒꯥ ꯆꯥꯡꯗꯝꯅꯕꯗꯥ ꯍꯦꯟꯅꯥ ꯇꯨꯡ ꯀꯣꯏꯅꯥ ꯆꯠꯄꯥ ꯉꯃꯍꯜꯂꯤ꯫

ꯃꯑꯣꯡ ꯃꯇꯧ

ꯃꯦꯀꯥꯅꯤꯖꯝ ꯑꯁꯤꯗꯥ ꯃꯔꯨꯑꯣꯏꯕꯥ ꯃꯆꯥꯛ ꯑꯍꯨꯝ ꯌꯥꯑꯣꯏ: ꯁꯦꯟꯇꯔꯗꯥ ꯂꯩꯕꯥ ꯅꯨꯃꯤꯠꯀꯤ ꯒꯤꯌꯔ (ꯃꯍꯧꯁꯥꯅꯥ ꯏꯅꯄꯨꯠ), ꯀꯦꯔꯤꯌꯔ ꯑꯃꯗꯥ ꯃꯥꯎꯟꯇ ꯇꯧꯕꯥ ꯃꯇꯃꯗꯥ ꯅꯨꯃꯤꯠ ꯑꯃꯁꯨꯡ ꯔꯤꯡ ꯒꯤꯌꯔ ꯑꯅꯤꯃꯛꯀꯥ ꯃꯦꯁ ꯇꯧꯕꯥ ꯄ꯭ꯂꯥꯅꯦꯠ ꯒꯤꯌꯔ ꯑꯅꯤꯗꯒꯤ ꯃꯉꯥ ꯐꯥꯑꯣꯕꯥ, ꯑꯃꯁꯨꯡ ꯃꯄꯥꯅꯒꯤ ꯔꯤꯡ ꯒꯤꯌꯔ (ꯃꯍꯧꯁꯥꯅꯥ ꯐꯤꯛꯁ ꯇꯧꯕꯥ)꯫ ꯀꯔꯝꯕꯥ ꯑꯦꯂꯤꯃꯦꯟꯇ ꯑꯗꯨ ꯁ꯭ꯇꯦꯁꯅꯦꯔꯤ ꯑꯣꯏꯅꯥ ꯊꯝꯕꯒꯦ, ꯗ꯭ꯔꯥꯏꯕ ꯇꯧꯕꯒꯦ ꯅꯠꯠꯔꯒꯥ ꯑꯥꯎꯠꯄꯨꯠ ꯑꯣꯏꯅꯥ ꯁꯤꯖꯤꯟꯅꯕꯒꯦ ꯍꯥꯌꯕꯒꯤ ꯃꯇꯨꯡ ꯏꯟꯅꯥ, ꯆꯞ ꯃꯥꯟꯅꯕꯥ ꯕꯦꯁꯤꯛ ꯁ꯭ꯠꯔꯀꯆꯔ ꯑꯗꯨꯅꯥ ꯇꯣꯉꯥꯟ ꯇꯣꯉꯥꯅꯕꯥ ꯍꯟꯊꯍꯅꯕꯒꯤ ꯔꯦꯁꯤꯑꯣ ꯑꯃꯁꯨꯡ ꯔꯣꯇꯦꯁꯅꯦꯜ ꯗꯤꯔꯦꯛꯁꯅꯁꯤꯡ ꯄꯨꯊꯣꯀꯄꯥ ꯉꯝꯃꯤ, ꯃꯁꯤꯅꯥ ꯒꯤꯌꯔ ꯁꯦꯠ ꯑꯃꯈꯛꯇꯒꯤ ꯃꯅꯨꯡꯗꯥ ꯗꯤꯖꯥꯏꯅꯒꯤ ꯐ꯭ꯂꯦꯛꯁꯤꯕꯤꯂꯤꯇꯤ ꯄꯤꯔꯤ꯫

ꯈꯅꯕꯒꯤ ꯃꯇꯥꯡꯗꯥ ꯈꯅꯕꯁꯤꯡ꯫

ꯃꯔꯨꯑꯣꯏꯕꯥ ꯐꯦꯛꯇꯔꯁꯤꯡꯒꯤ ꯃꯅꯨꯡꯗꯥ ꯑꯄꯥꯝꯕꯥ ꯍꯟꯊꯍꯅꯕꯒꯤ ꯆꯥꯡ (ꯁꯤꯉ꯭ꯒꯜ ꯅꯠꯠꯔꯒꯥ ꯃꯜꯇꯤ-ꯁ꯭ꯇꯦꯖ ꯀꯟꯐꯤꯒꯔꯦꯁꯅꯒꯤ ꯈꯨꯠꯊꯥꯡꯗꯥ ꯐꯪꯕꯥ ꯌꯥꯕꯥ), ꯕꯦꯀꯂꯦꯁꯀꯤ ꯃꯊꯧ ꯇꯥꯕꯥ, ꯇꯣꯔꯛ ꯀꯦꯄꯥꯁꯤꯇꯤ, ꯏꯅꯄꯨꯠ ꯁ꯭ꯄꯤꯗ ꯂꯤꯃꯤꯠ, ꯑꯃꯁꯨꯡ ꯏꯐꯤꯁꯤꯑꯦꯟꯁꯤ ꯑꯁꯤ ꯌꯥꯎꯏ꯫ ꯃꯜꯇꯤ-ꯁ꯭ꯇꯦꯖ ꯗꯤꯖꯥꯏꯅꯁꯤꯡꯅꯥ ꯌꯥꯝꯅꯥ ꯋꯥꯡꯕꯥ ꯔꯦꯁꯤꯑꯣꯁꯤꯡ ꯑꯌꯥꯕꯥ ꯄꯤꯔꯤ ꯑꯗꯨꯕꯨ ꯀꯝꯄꯣꯁ꯭ꯠ ꯇꯧꯔꯕꯥ ꯂꯣꯁꯁꯤꯡꯅꯥ ꯃꯔꯝ ꯑꯣꯏꯗꯨꯅꯥ ꯑꯄꯨꯅꯕꯥ ꯏꯐꯤꯁꯤꯑꯦꯟꯁꯤ ꯈꯔꯥ ꯍꯟꯊꯍꯜꯂꯤ, ꯃꯔꯝ ꯑꯗꯨꯅꯥ ꯏꯟꯖꯤꯅꯤꯌꯔꯁꯤꯡꯅꯥ ꯑꯀꯛꯅꯕꯥ ꯑꯦꯞꯂꯤꯀꯦꯁꯟ ꯑꯗꯨꯒꯤꯗꯃꯛꯇꯥ ꯏꯐꯤꯁꯤꯑꯦꯟꯁꯤ ꯑꯃꯁꯨꯡ ꯁꯥꯏꯖꯒꯤ ꯑꯊꯤꯡꯕꯁꯤꯡꯒꯥ ꯂꯣꯌꯅꯅꯥ ꯔꯦꯁꯤꯑꯣꯒꯤ ꯃꯊꯧ ꯇꯥꯕꯁꯤꯡ ꯑꯗꯨ ꯕꯦꯂꯦꯟꯁ ꯇꯧꯒꯗꯕꯅꯤ꯫

ꯑꯦꯞꯂꯤꯀꯦꯁꯅꯁꯤꯡ ꯄꯤꯕꯥ꯫

ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯔ ꯍꯟꯊꯍꯅꯕꯥ ꯑꯁꯤ ꯁꯔꯚꯣ ꯃꯣꯇꯣꯔꯁꯤꯡ, ꯔꯣꯕꯣꯇꯤꯛꯁ, ꯑꯣꯇꯣꯃꯣꯇꯤꯕ ꯑꯣꯇꯣꯃꯦꯇꯤꯛ ꯇ꯭ꯔꯥꯟꯁꯃꯤꯁꯅꯁꯤꯡ, ꯅꯨꯡꯁꯤꯠ ꯇꯔꯕꯥꯏꯟ ꯖꯦꯅꯦꯔꯦꯇꯔꯁꯤꯡ, ꯑꯦꯔꯣꯁ꯭ꯄꯦꯁ ꯑꯦꯛꯇꯤꯕꯦꯇꯔꯁꯤꯡ, ꯑꯃꯁꯨꯡ ꯏꯟꯗꯁ꯭ꯠꯔꯤꯌꯦꯜ ꯃꯦꯁꯤꯅꯔꯤꯗꯥ ꯁꯤꯖꯤꯟꯅꯩ ꯃꯐꯝ ꯑꯗꯨꯗꯥ ꯀꯝꯄꯦꯛꯇ ꯁꯥꯏꯖ, ꯀꯣꯑꯦꯛꯁꯦꯜ ꯁꯥꯐꯠ ꯑꯦꯂꯥꯏꯟꯃꯦꯟꯇ, ꯑꯃꯁꯨꯡ ꯑꯋꯥꯡꯕꯥ ꯇꯣꯔꯛ-ꯇꯨ-ꯑꯔꯨꯝꯕꯥ ꯔꯦꯁꯤꯑꯣ ꯑꯁꯤ ꯃꯔꯨꯑꯣꯏꯕꯥ ꯄꯔꯐꯣꯃꯦꯟꯁꯀꯤ ꯃꯊꯧ ꯇꯥꯕꯁꯤꯡꯅꯤ꯫

ꯏꯅꯁ꯭ꯇꯣꯂꯦꯁꯅꯒꯤ ꯃꯇꯥꯡꯗꯥ ꯈꯅꯕꯁꯤꯡ꯫

ꯄ꯭ꯂꯥꯅꯦꯠ ꯔꯤꯗꯛꯁꯟ ꯃꯦꯀꯥꯅꯤꯖꯝ ꯑꯃꯥ ꯏꯟꯇꯤꯒ꯭ꯔꯦꯠ ꯇꯧꯕꯥ ꯃꯇꯃꯗꯥ, ꯄ꯭ꯂꯥꯅꯦꯠ ꯄꯨꯝꯅꯃꯛꯇꯥ ꯂꯣꯗ ꯗꯤꯁ꯭ꯠꯔꯤꯕ꯭ꯌꯨꯁꯟ ꯐꯥꯑꯣꯕꯥ ꯁꯣꯌꯗꯅꯥ ꯂꯩꯍꯟꯅꯕꯥ ꯅꯨꯃꯤꯠꯀꯤ ꯒꯤꯌꯔ ꯏꯅꯄꯨꯠ ꯑꯃꯁꯨꯡ ꯔꯤꯡ ꯒꯤꯌꯔ ꯍꯥꯎꯖꯤꯡꯒꯤ ꯃꯔꯛꯇꯥ ꯃꯇꯤꯛ ꯆꯥꯕꯥ ꯀꯟꯁꯦꯟꯠꯔꯦꯁꯤꯇꯤ ꯊꯃꯒꯗꯕꯅꯤ꯫ ꯀꯦꯔꯤꯌꯔ ꯕꯦꯔꯤꯡꯁꯤꯡ ꯑꯁꯤ ꯃꯑꯣꯡ ꯆꯨꯝꯅꯥ ꯄ꯭ꯔꯤꯂꯣꯗ ꯇꯧꯒꯗꯕꯅꯤ, ꯗꯤꯖꯥꯏꯟ ꯇꯣꯂꯔꯦꯟꯁꯁꯤꯡꯒꯤ ꯃꯥꯌꯣꯛꯇꯥ ꯕꯦꯀꯂꯦꯁ ꯚꯦꯔꯤꯐꯥꯏ ꯇꯧꯒꯗꯕꯅꯤ, ꯑꯃꯁꯨꯡ ꯌꯨꯅꯤꯠ ꯑꯗꯨ ꯁꯔꯚꯤꯁꯇꯥ ꯊꯝꯗ꯭ꯔꯤꯉꯩ ꯃꯃꯥꯡꯗꯥ ꯑꯣꯄꯔꯦꯇꯤꯡ ꯁ꯭ꯄꯤꯗ ꯑꯃꯁꯨꯡ ꯂꯣꯗꯀꯤ ꯃꯇꯨꯡꯏꯟꯅꯥ ꯂꯨꯕ꯭ꯔꯤꯀꯦꯁꯟ ꯀꯅꯐꯥꯔꯝ ꯇꯧꯒꯗꯕꯅꯤ꯫

ꯃꯐꯝ ꯑꯁꯤꯗꯥ ꯄꯦꯖ ꯑꯁꯤꯗꯥ, ꯑꯩꯈꯣꯌꯅꯥ ꯄꯤ.ꯖꯤ.ꯑꯦꯐ.ꯑꯥꯔ.ꯒꯤ ꯁꯤꯔꯤꯌꯥꯜ ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯔ ꯔꯤꯗ꯭ꯌꯨꯁꯔꯁꯤꯡ ꯈꯉꯍꯜꯂꯤ, ꯅꯍꯥꯛꯅꯥ ꯃꯈꯥꯗꯥ ꯄꯤꯔꯤꯕꯥ ꯃꯑꯣꯡ ꯑꯁꯤꯒꯤ ꯃꯇꯨꯡ ꯏꯟꯅꯥ ꯇꯦꯛꯅꯤꯀꯦꯜ ꯄꯦꯔꯥꯃꯤꯇꯔ,ꯄꯦꯀꯤꯡ,ꯇꯦꯁ꯭ꯇꯀꯤ ꯚꯤꯗꯤꯑꯣꯁꯤꯡ ꯎꯕꯥ ꯐꯪꯒꯅꯤ:

ꯏꯟꯗꯁ꯭ꯠꯔꯤꯌꯦꯜ ꯑꯣꯇꯣꯃꯦꯁꯟ ꯀꯦꯁ ꯁ꯭ꯇꯗꯤꯁꯤꯡ꯫

ꯀꯦꯁ ꯰꯱ · ꯀꯣꯂꯥꯕꯣꯔꯦꯇꯤꯕ ꯔꯣꯕꯣꯇꯤꯛꯁ : ꯀꯣꯕꯣꯠ ꯖꯣꯏꯟꯇ ꯑꯦꯛꯁꯤꯁ ꯗ꯭ꯔꯥꯏꯕ꯫

ꯄꯨꯟꯅꯥ ꯊꯕꯛ ꯇꯧꯃꯤꯟꯅꯔꯤꯕꯥ ꯔꯣꯕꯣꯠ ꯃꯦꯟꯌꯨꯐꯦꯀꯆꯔꯔ ꯑꯃꯅꯥ ꯄ꯭ꯔꯤꯁꯤꯁꯟ ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯔ ꯍꯟꯊꯍꯅꯕꯒꯤ ꯌꯨꯅꯤꯠꯁꯤꯡ (ꯔꯦꯁꯤꯑꯣ ꯸꯰:꯱, ꯕꯦꯀꯂꯦꯁ) ꯏꯟꯇꯤꯒ꯭ꯔꯦꯠ ꯇꯧꯈꯤ꯫<2 arcmin) into each of six joint axes. The coaxial output design kept arm geometry compact while delivering the high holding torque needed for safe human-collaborative tasks. Repeatability improved to ±0.03 mm, and the reduction in motor sizing lowered overall arm weight by 18%, directly improving payload-to-weight ratio across assembly and pick-and-place lines.

CASE 02 · FILM EXTRUSION : ꯑꯦꯛꯁꯠꯔꯥꯎꯗꯔ ꯁ꯭ꯛꯔꯨ ꯗ꯭ꯔꯥꯏꯚ꯫

ꯄ꯭ꯂꯥꯁ꯭ꯇꯤꯛ ꯐꯤꯜꯃ ꯑꯦꯛꯁꯠꯔꯥꯁꯟ ꯂꯥꯏꯟ ꯑꯃꯅꯥ ꯃꯁꯤꯒꯤ ꯋꯥꯔꯝ ꯒꯤꯌꯔ ꯗ꯭ꯔꯥꯏꯕ ꯑꯁꯤ ꯁ꯭ꯇꯦꯖ ꯑꯅꯤꯒꯤ ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯔ ꯍꯟꯊꯍꯅꯕꯒꯤ ꯒꯤꯌꯔꯕꯣꯛꯁ (ꯔꯦꯁꯤꯑꯣ ꯵꯶:꯱, ꯏꯐꯤꯁꯤꯑꯦꯟꯁꯤ ꯹꯷%)ꯅꯥ ꯃꯍꯨꯠ ꯁꯤꯅꯈꯤ꯫ ꯁꯨꯏꯆ ꯑꯁꯤꯅꯥ ꯁꯥꯡꯂꯕꯥ ꯄꯨꯊꯣꯀꯄꯒꯤ ꯃꯇꯃꯗꯥ ꯃꯆꯥꯛ ꯃꯊꯨꯃꯒꯤ ꯚꯤꯁ꯭ꯀꯣꯁꯤꯇꯤꯒꯤ ꯑꯁꯣꯏ-ꯑꯉꯥꯝ ꯌꯥꯑꯣꯗꯕꯥ ꯊꯣꯀꯍꯅꯈꯤꯕꯥ ꯊꯔꯃꯦꯜ ꯂꯣꯁꯁꯤꯡ ꯑꯗꯨ ꯂꯧꯊꯣꯀꯈꯤ꯫ ꯑꯥꯎꯠꯄꯨꯠ ꯇꯣꯔꯛ ꯁ꯭ꯇꯦꯕꯤꯂꯤꯇꯤ ꯑꯁꯤ ꯃꯥꯄꯂꯒꯤ ꯑꯣꯏꯅꯥ ꯐꯒꯠꯂꯀꯈꯤ, ꯁ꯭ꯛꯔꯦꯄꯀꯤ ꯆꯥꯡ ꯑꯁꯤ ꯱꯲% ꯍꯟꯊꯈꯤ, ꯑꯃꯁꯨꯡ ꯁꯤꯜ ꯇꯧꯔꯕꯥ, ꯒ꯭ꯔꯤꯁ-ꯂꯨꯕ꯭ꯔꯤꯀꯦꯇꯦꯗ ꯗꯤꯖꯥꯏꯟ ꯑꯁꯤꯅꯥ ꯊꯥ ꯈꯨꯗꯤꯡꯒꯤ ꯁꯦꯗ꯭ꯌꯨꯜ ꯇꯧꯔꯕꯥ ꯃꯦꯟꯇꯤꯅꯦꯟꯁ ꯏꯟꯇꯔꯚꯂꯁꯤꯡ ꯑꯁꯤ ꯊꯥ ꯈꯨꯗꯤꯡꯒꯤ - ꯍꯟꯊꯍꯟꯗꯨꯅꯥ ꯂꯦꯞꯇꯅꯥ ꯄꯨꯡ ꯲꯴ꯒꯤ ꯄꯨꯊꯣꯀꯄꯒꯤ ꯁꯦꯗ꯭ꯌꯨꯂꯗꯥ ꯗꯣꯎꯅꯇꯥꯏꯝ ꯑꯃꯁꯨꯡ ꯁꯔꯕꯤꯁꯤꯡꯒꯤ ꯃꯃꯜ ꯍꯟꯊꯍꯅꯈꯤ꯫

ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯔ ꯍꯟꯊꯍꯅꯕꯒꯤ ꯃꯇꯥꯡꯗꯥ ꯑꯦꯐ.ꯑꯦ.ꯀ꯭ꯌꯨ

ꯋꯥꯔꯝ ꯒꯤꯌꯥꯔ ꯗ꯭ꯔꯥꯏꯕꯁꯤꯡꯗꯒꯤ ꯍꯦꯟꯅꯥ ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯔ ꯍꯟꯊꯍꯅꯕꯥ ꯑꯁꯤ ꯀꯔꯤꯅꯥ ꯏꯐꯤꯁꯤꯌꯦꯟꯇ ꯑꯣꯏꯍꯜꯂꯤꯕꯅꯣ?

ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯥꯔ ꯍꯟꯊꯍꯅꯕꯅꯥ 95–98%ꯒꯤ ꯏꯐꯤꯁꯤꯑꯦꯟꯁꯤ ꯐꯪꯏ ꯃꯔꯃꯗꯤ ꯄꯥꯋꯔ ꯑꯁꯤ ꯈ꯭ꯕꯥꯏꯗꯒꯤ ꯅꯦꯝꯕꯥ ꯁ꯭ꯂꯥꯏꯗ ꯐ꯭ꯔꯤꯛꯁꯅꯒꯥ ꯂꯣꯌꯅꯅꯥ ꯗꯥꯏꯔꯦꯛꯇ ꯒꯤꯌꯥꯔ ꯃꯦꯁ ꯀꯟꯇꯦꯛꯇꯀꯤ ꯈꯨꯠꯊꯥꯡꯗꯥ ꯇ꯭ꯔꯥꯟꯁꯐꯔ ꯇꯧꯏ꯫ ꯋꯥꯔꯝ ꯗ꯭ꯔꯥꯏꯚꯁꯤꯡ ꯑꯁꯤ ꯋꯥꯔꯝ ꯑꯃꯁꯨꯡ ꯍꯨꯏꯂꯒꯤ ꯃꯔꯛꯇꯥ ꯂꯩꯕꯥ ꯁ꯭ꯂꯥꯏꯗ ꯑꯦꯛꯁꯅꯗꯥ ꯊꯥꯖꯕꯥ ꯊꯝꯃꯤ, ꯃꯁꯤꯅꯥ ꯑꯦꯅꯔꯖꯤ ꯁꯣꯀꯍꯜꯂꯤ ꯃꯔꯃꯗꯤ ꯍꯤꯠ - ꯏꯐꯤꯁꯤꯑꯦꯟꯁꯤ ꯑꯁꯤ ꯑꯋꯥꯡꯕꯥ ꯔꯦꯁꯤꯑꯣꯗꯥ 50% ꯐꯥꯎꯕꯥ ꯍꯟꯊꯕꯥ ꯌꯥꯏ꯫ ꯂꯦꯞꯇꯅꯥ-ꯗ꯭ꯌꯨꯇꯤ ꯑꯦꯞꯂꯤꯀꯦꯁꯅꯁꯤꯡꯒꯤ ꯑꯣꯏꯅꯗꯤ, ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯁꯤꯁ꯭ꯇꯦꯝ ꯑꯃꯗꯥ ꯍꯣꯡꯂꯀꯄꯗꯒꯤ ꯂꯥꯀꯄꯥ ꯑꯦꯅꯔꯖꯤ ꯁꯦꯚꯤꯡꯁꯤꯡ ꯑꯁꯤ ꯏꯛꯌꯨꯏꯄꯃꯦꯟꯇ ꯂꯥꯏꯐꯁꯥꯏꯀꯂꯒꯤ ꯃꯅꯨꯡꯗꯥ ꯌꯥꯝꯅꯥ ꯆꯥꯎꯏ꯫

ꯑꯩꯒꯤ ꯁꯔꯚꯣ ꯃꯣꯇꯣꯔ ꯑꯦꯞꯂꯤꯀꯦꯁꯅꯒꯤꯗꯃꯛꯇꯥ ꯑꯩꯅꯥ ꯀꯔꯤ ꯍꯟꯊꯕꯥ ꯔꯦꯁꯤꯑꯣ ꯈꯅꯒꯗꯒꯦ?

ꯑꯣꯞꯇꯤꯃꯦꯜ ꯔꯦꯁꯤꯑꯣ ꯑꯁꯤꯅꯥ ꯂꯣꯗ ꯏꯅꯔꯖꯤ ꯃꯦꯆꯤꯡ, ꯃꯊꯧ ꯇꯥꯕꯥ ꯑꯥꯎꯠꯄꯨꯠ ꯁ꯭ꯄꯤꯗ, ꯑꯃꯁꯨꯡ ꯄꯤꯛ ꯇꯣꯔꯛ ꯗꯤꯃꯥꯟꯗ ꯕꯦꯂꯦꯟꯁ ꯇꯧꯏ꯫ ꯖꯦꯅꯦꯔꯦꯜ ꯔꯨꯜ ꯑꯃꯥ: ꯒꯤꯌꯥꯔ ꯔꯦꯁꯤꯑꯣ ꯑꯁꯤ ꯂꯣꯗ-ꯇꯨ-ꯃꯣꯇꯣꯔ ꯏꯅꯔꯖꯤ ꯔꯦꯁꯤꯑꯣꯒꯤ ꯁ꯭ꯀꯣꯌꯥꯔ ꯔꯨꯠ ꯑꯗꯨꯒꯥ ꯆꯥꯎꯔꯥꯛꯅꯥ ꯃꯥꯟꯅꯒꯗꯕꯅꯤ꯫ ꯔꯣꯕꯣꯇꯤꯛꯁ ꯑꯃꯁꯨꯡ ꯁꯤ.ꯑꯦꯟ.ꯁꯤ.ꯗꯥ ꯑꯌꯥꯝꯕꯥ ꯁꯔꯚꯣ-ꯗ꯭ꯔꯥꯏꯚꯟ ꯑꯦꯛꯁꯁꯤꯡꯅꯥ ꯱꯰:꯱ ꯑꯃꯁꯨꯡ ꯸꯰:꯱ꯒꯤ ꯃꯔꯛꯇꯥ ꯂꯩꯕꯥ ꯔꯦꯁꯤꯑꯣꯁꯤꯡ ꯁꯤꯖꯤꯟꯅꯩ꯫ ꯗ꯭ꯔꯥꯏꯚ ꯏꯟꯖꯤꯅꯤꯌꯔ ꯑꯃꯅꯥ ꯅꯠꯠꯔꯒꯥ ꯒꯤꯌꯥꯔꯕꯣꯛꯁ ꯃꯦꯟꯌꯨꯐꯦꯀꯆꯔꯔꯒꯤ ꯁꯥꯏꯖ ꯇꯨꯜ ꯑꯃꯅꯥ ꯅꯍꯥꯛꯀꯤ ꯇꯁꯦꯡꯕꯥ ꯂꯣꯗ ꯁꯥꯏꯀꯜ ꯗꯦꯇꯥ ꯁꯤꯖꯤꯟꯅꯗꯨꯅꯥ ꯑꯔꯣꯏꯕꯥ ꯈꯅꯕꯗꯨ ꯀꯅꯐꯥꯔꯝ ꯇꯧꯒꯗꯕꯅꯤ꯫

ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯔ ꯍꯟꯊꯍꯅꯕꯒꯤ ꯌꯨꯅꯤꯠ ꯑꯃꯗꯥ ꯕꯦꯀꯂꯦꯁ ꯑꯁꯤ ꯀꯔꯝꯅꯥ ꯃꯥꯄꯂꯅꯤ?

ꯕꯦꯀꯂꯦꯁ ꯑꯁꯤ ꯏꯅꯄꯨꯠ ꯑꯗꯨ ꯁ꯭ꯇꯦꯁꯅꯦꯔꯤ ꯑꯣꯏꯅꯥ ꯊꯃꯗꯨꯅꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯁꯥꯐꯝ ꯑꯗꯨꯗꯥ ꯑꯥꯔꯀꯃꯤꯅꯤꯠ (arcmin)ꯗꯥ ꯂꯦꯄꯊꯣꯀꯏ꯫ ꯒꯤꯌꯔꯁꯤꯡꯕꯨ ꯐꯃꯍꯟꯅꯕꯥ ꯃꯥꯌꯀꯩ ꯑꯃꯗꯥ ꯇꯣꯔꯛ ꯑꯃꯥ ꯊꯥꯏ, ꯃꯗꯨꯒꯤ ꯃꯇꯨꯡꯗꯥ ꯇꯣꯔꯛ ꯇ꯭ꯔꯥꯟꯁꯃꯤꯠ ꯇꯧꯗ꯭ꯔꯤꯉꯩꯒꯤ ꯃꯃꯥꯡꯗꯥ ꯑꯦꯉ꯭ꯒꯨꯂꯥꯔ ꯇ꯭ꯔꯥꯚꯦꯜ ꯑꯗꯨ ꯔꯤꯚꯔꯁ ꯇꯧꯏ - ꯃꯁꯤ ꯕꯦꯀꯂꯦꯁ ꯚꯦꯜꯌꯨꯅꯤ꯫ ꯁ꯭ꯇꯦꯟꯗꯔꯗ ꯏꯟꯗꯁ꯭ꯠꯔꯤꯑꯦꯜ ꯌꯨꯅꯤꯇꯁꯤꯡ ꯑꯁꯤ 5–15 ꯑꯥꯔꯀꯃꯤꯟ ꯆꯠꯂꯤ; ꯄ꯭ꯔꯤꯁꯤꯁꯟ-ꯒ꯭ꯔꯦꯗ ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯌꯨꯅꯤꯠꯁꯤꯡꯅꯥ ꯐꯪꯕꯥ ꯉꯝꯃꯤ꯫<3 arcmin, suitable for positioning axes in robotics and multi-axis machining centers.

ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯥꯔ ꯍꯟꯊꯍꯅꯕꯒꯤ ꯌꯨꯅꯤꯠ ꯑꯃꯥ ꯚꯔꯇꯤꯀꯦꯜ ꯂꯣꯗ ꯑꯣꯔꯤꯑꯦꯟꯇꯦꯁꯅꯁꯤꯡꯗꯥ ꯁꯤꯖꯤꯟꯅꯕꯥ ꯌꯥꯒꯗ꯭ꯔꯥ?

ꯍꯣꯏ. ꯋꯥꯔꯝ ꯒꯤꯌꯥꯔ ꯔꯤꯗ꯭ꯌꯨꯁꯔꯁꯤꯡꯒꯥ ꯃꯥꯟꯅꯗꯅꯥ, ꯑꯌꯥꯝꯕꯥ ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯌꯨꯅꯤꯠꯁꯤꯡ ꯑꯁꯤ ꯃꯍꯧꯁꯥꯅꯥ ꯁꯦꯂꯐ-ꯂꯣꯛ ꯇꯧꯕꯥ ꯉꯃꯗꯦ, ꯃꯔꯝ ꯑꯗꯨꯅꯥ ꯃꯣꯇꯣꯔ ꯑꯗꯨ ꯗꯤ-ꯑꯦꯅꯔꯖꯤ ꯂꯩꯕꯥ ꯃꯇꯃꯗꯥ ꯚꯔꯇꯤꯀꯦꯜ ꯂꯣꯗ ꯄꯣꯖꯤꯁꯟ ꯊꯝꯅꯕꯒꯤꯗꯃꯛ ꯃꯦꯀꯥꯅꯤꯀꯦꯜ ꯕ꯭ꯔꯦꯛ ꯅꯠꯠꯔꯒꯥ ꯁꯔꯚꯣ ꯍꯣꯜꯗ ꯇꯣꯔꯛ ꯑꯃꯥ ꯃꯊꯧ ꯇꯥꯏ꯫ ꯃꯇꯝ ꯄꯨꯝꯅꯃꯛꯇꯥ ꯒꯤꯌꯔꯕꯣꯛꯁ ꯃꯦꯟꯌꯨꯐꯦꯀꯆꯔꯔꯒꯤ ꯃꯥꯎꯟꯇꯤꯡ ꯄꯣꯖꯤꯁꯟ ꯔꯦꯇꯤꯡꯁꯤꯡ - ꯑꯣꯏꯜ ꯂꯨꯕ꯭ꯔꯤꯀꯦꯁꯟ ꯗꯤꯁ꯭ꯠꯔꯤꯕ꯭ꯌꯨꯁꯟ ꯑꯃꯁꯨꯡ ꯕꯦꯔꯤꯡ ꯄ꯭ꯔꯤ-ꯂꯣꯗ ꯁ꯭ꯄꯦꯁꯤꯐꯤꯀꯦꯁꯅꯁꯤꯡ ꯑꯁꯤ ꯑꯣꯔꯤꯑꯦꯟꯇꯦꯁꯅꯒꯤ ꯃꯇꯨꯡ ꯏꯟꯅꯥ ꯈꯦꯠꯅꯕꯥ ꯌꯥꯏ꯫

ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯥꯔ ꯍꯟꯊꯍꯅꯕꯒꯤ ꯒꯤꯌꯥꯔꯕꯣꯛꯁ ꯑꯃꯒꯤ ꯃꯁꯛ ꯊꯣꯀꯄꯥ ꯁꯔꯚꯤꯁ ꯂꯥꯏꯐ ꯑꯁꯤ ꯀꯔꯤꯅꯣ?

ꯃꯑꯣꯡ ꯆꯨꯝꯅꯥ ꯁꯥꯏꯖ ꯇꯧꯕꯥ ꯑꯃꯁꯨꯡ ꯊꯝꯕꯥ ꯃꯇꯃꯗꯥ, ꯃꯒꯨꯟ ꯂꯩꯕꯥ ꯄ꯭ꯂꯥꯅꯦꯇꯦꯔꯤ ꯒꯤꯌꯥꯔ ꯍꯟꯊꯍꯅꯕꯒꯤ ꯌꯨꯅꯤꯠ ꯑꯃꯅꯥ ꯃꯍꯧꯁꯥꯅꯥ ꯑꯣꯄꯔꯦꯇꯤꯡ ꯄꯨꯡ 20,000–30,000 (L10 ꯕꯦꯔꯤꯡ ꯂꯥꯏꯐ) ꯐꯪꯏ꯫ ꯁꯔꯚꯤꯁ ꯂꯥꯏꯐ ꯑꯁꯤ ꯂꯣꯗ ꯐꯦꯛꯇꯔ, ꯑꯦꯝꯕꯤꯑꯦꯟꯇ ꯇꯦꯝꯄꯦꯔꯦꯆꯔ, ꯂꯨꯕ꯭ꯔꯤꯀꯦꯁꯟ ꯀꯟꯗꯤꯁꯟ, ꯑꯃꯁꯨꯡ ꯌꯨꯅꯤꯠ ꯑꯗꯨꯅꯥ ꯃꯁꯤꯒꯤ ꯔꯦꯠ ꯇꯧꯔꯕꯥ ꯊꯔꯃꯦꯜ ꯂꯤꯃꯤꯠꯀꯤ ꯃꯅꯨꯡꯗꯥ ꯑꯣꯄꯔꯦꯠ ꯇꯧꯔꯤꯕ꯭ꯔꯥ ꯍꯥꯌꯕꯗꯨꯒꯤ ꯃꯈꯥ ꯄꯣꯜꯂꯤ꯫ ꯒ꯭ꯔꯤꯁ-ꯄꯦꯛ ꯇꯧꯔꯕꯥ ꯁꯤꯜ ꯇꯧꯔꯕꯥ ꯃꯣꯗꯦꯂꯁꯤꯡ ꯑꯁꯤ ꯃꯈꯣꯌꯒꯤ ꯔꯦꯠ ꯇꯧꯔꯕꯥ ꯄꯨꯟꯁꯤꯒꯤ ꯃꯅꯨꯡꯗꯥ ꯃꯦꯟꯇꯦꯅꯦꯟꯁ-ꯐ꯭ꯔꯤ ꯑꯣꯏ; ꯑꯣꯏꯜ-ꯕꯥꯊ ꯌꯨꯅꯤꯠꯁꯤꯡꯗꯥ ꯄꯨꯡ 3,000–5,000 ꯈꯨꯗꯤꯡꯒꯤ ꯑꯣꯏꯜ ꯍꯣꯡꯗꯣꯀꯄꯥ ꯃꯊꯧ ꯇꯥꯏ꯫

ꯑꯗꯨꯒꯥ ꯑꯗꯣꯝꯅꯥ ꯑꯍꯦꯅꯕꯥ ꯄ꯭ꯔꯣꯖꯦꯛꯇꯁꯤꯡ ꯌꯦꯡꯕꯤꯅꯕꯥ ꯅꯠꯔꯒꯥ Youtube ꯒꯤ ꯈꯨꯠꯊꯥꯡꯗꯥ ꯑꯩꯈꯣꯌꯒꯤ ꯚꯤꯗꯤꯑꯣ ꯒꯦꯜꯂꯔꯤꯗꯥ ꯆꯠꯅꯕꯥ ꯇꯔꯥꯝꯅꯥ ꯑꯣꯀꯆꯔꯤ:https://www.youtube.com/@tallmanrobotics ꯗꯥ ꯊꯥꯕꯤꯔꯀꯎ꯫