{"id":"5a1c4db9-069d-4fdb-8ace-9917a3255ed1","companyId":"e6c82ae9-e819-484a-8b07-cabfbe90e3cc","modelName":"Cyberdyne HAL","slug":"cyberdyne-hal","description":"Powered (motor-driven) exoskeleton whose distinguishing feature is bioelectric-signal control: skin-surface sensors detect the faint nerve/muscle signals of intended movement and drive the actuators in sync. Medical lower-limb version FDA cleared 2017; clinical use in Japan since 2008.","formFactor":"exoskeleton","industryVertical":null,"environment":null,"maturityStage":"commercial","lifecycleState":"active","supersededByModelId":null,"specs":{"use":"medical rehab","control":"bioelectric-signal (skin-surface intention sensing)","powered":"yes (motor-driven)","height_cm":"190","runtime_h":"1","weight_kg":"100","regulatory":"FDA cleared 2017 (medical lower-limb)","body_region":"lower-limb (also full-body variants)","availability":"commercial"},"manufacturerSerial":null,"reviewStatus":"reviewed","sources":[{"url":"https://en.wikipedia.org/wiki/Cyberdyne_Inc.","title":"Cyberdyne HAL","sourceName":"Wikipedia"},{"url":"https://www.borntoengineer.com/cyberdyne-japanese-exoskeleton-gets-fda-approval","title":"Cyberdyne HAL FDA approval","sourceName":"Born to Engineer"},{"url":"https://www.cyberdyne.jp/en/products/hal-lowerlimb-wellbeing","title":"Well-Being HAL","sourceName":"Cyberdyne (official)"},{"url":"https://www.cyberdyne.jp/english/products/LowerLimb_medical.html","title":"Medical HAL lower limb","sourceName":"CYBERDYNE"}],"aliases":["HAL","Hybrid Assistive Limb"],"collisionRisk":"low","reviewNote":"reverified 2026-06-09 (Kimi-incident remediation): cited primary source resolves and matches manufacturer/reputable domain; relevance adjudicated.","manufacturerTermForTeleop":null,"keyFacts":[{"label":"Robot","value":"HAL (Hybrid Assistive Limb), a powered exoskeleton that reads bioelectric signals from the user's skin to drive its motors."},{"label":"Focus","value":"Cybernics company developing assistive exoskeleton technology."},{"label":"FDA approval","value":"October 2020 (HAL for medical use)."},{"label":"Japan medical device approval","value":"January 2025 (small-size HAL)."},{"label":"HAL-ML05 (company-claimed)","value":"For wearers 150-190 cm and 40-100 kg; about 14 kg double-leg or 9 kg single-leg, including cuffs, sensor shoes and batteries; about 1 hour of operation."},{"label":"HAL-ML07 (company-claimed)","value":"For wearers 100-150 cm and 15-50 kg; about 9.5 kg double-leg or 6.5 kg single-leg; 930 mm tall, 400 mm wide and 400 mm deep."}],"createdAt":"2026-06-06T01:25:41.568Z","updatedAt":"2026-10-12T23:31:46.099Z","unitsInFieldClaimed":null,"unitsInFieldVerified":null,"unitsManufacturedClaimed":null,"unitsManufacturedVerified":null,"unitsAsOf":null,"unitsSource":null,"salesModel":null,"priceUndisclosedSince":null,"autonomyClass":null,"autonomyStatement":null,"autonomyStatementSource":null,"demoForensics":null,"exportControlClass":null,"minCommitment":null,"warrantyTerms":null,"serviceModel":null,"productionRateClaimed":null,"productionRateEvidenced":null,"teleopRatioDisclosed":null,"interventionRateDisclosed":null,"jsonLd":{"@context":"https://schema.org","@type":"Product","@id":"https://registry.deploy.report/models/cyberdyne-hal","url":"https://registry.deploy.report/models/cyberdyne-hal","name":"Cyberdyne HAL","alternateName":["HAL","Hybrid Assistive Limb"],"description":"Powered (motor-driven) exoskeleton whose distinguishing feature is bioelectric-signal control: skin-surface sensors detect the faint nerve/muscle signals of intended movement and drive the actuators in sync. Medical lower-limb version FDA cleared 2017; clinical use in Japan since 2008.","identifier":"5a1c4db9-069d-4fdb-8ace-9917a3255ed1","category":"exoskeleton","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":"commercial","lifecycle_state":"active","architectural_position":{"cohort":"exoskeleton","sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":4,"primary_source_types":["knowledge-base","primary-company-ir"]}}}