De commerciële samenvattingen zijn in deze taal beschikbaar. Productuitleg en technisch bewijs worden in het Engels onderhouden.
Physical AI & robotica
Hyperion Robotics
Verbind onderzoek naar robotleren met een gecontroleerd evaluatietraject.
Een veelbelovend modelexperiment heeft een reproduceerbaar traject nodig via dataherkomst, proefruns zonder fysieke aansturing en simulatie, voordat fysieke aansturing wordt overwogen.
Choose the task, embodiment and acceptance question for one experiment.
Engage now
An experiment brief with provenance requirements, simulation criteria and a separate physical-validation gate.
Inspect
Robotics research · dry runs and simulation
Hyperion Robotics dry-run, simulation, provenance and guarded-deployment paths (source through 22 October 2026).
Still to validate
No physical commissioning or learned-policy success on real robots is established.
Scope a reproducible robotics experiment. Physical commissioning and learned-policy success on real robots are not established by these records.
Bronnen beoordeeld
The decision behind the system
What must be proven before a robot experiment can act?
A robotics research programme joining provenance, dry runs, simulation and guarded deployment work. Related model and runtime experiments are presented as one research family.
This research family concerns learning and runtime experiments. Auralink develops the machine-platform design; the portfolio does not establish that all research components are integrated.
Evaluation before actuation
Reachy and SO-101 research paths use dry-run and simulation boundaries, with provenance and deployment controls kept explicit.
Phytral
A dual-system vision-language-action research prototype explores perception and action. Large-scale training and real-robot validation remain future work.
Runtime and distributed research
The Physical AI Stack explores local model/runtime catalogues and rollback. Embodied Intelligence Mesh explores distributed training, validation and inference in simulation.
Read the complete system walkthrough
Define
Choose the task, embodiment and acceptance question for one experiment.
Trace
Record data and model provenance, configuration and the runtime boundary.
Exercise
Inspect a dry run or simulation, including failures and assumptions about the physical environment.
Qualify
Identify the separate evidence needed before hardware commissioning or transfer to another embodiment.
Inspect the source, test conditions and operating limits in the technical record.
Technisch dossier en bewijs bekijken
Brug business ↔ technologie · Physical AI capability experiment
What must be proven before a robot experiment can act?
This research family concerns learning and runtime experiments. Auralink develops the machine-platform design; the portfolio does not establish that all research components are integrated.
Dit is een interpretatie van portfolio en broncode, geen claim over klanten, implementatie, certificering of resultaten.
01
Bedrijfsdruk
A promising model experiment needs a reproducible path through data provenance, dry runs and simulation before physical actuation is considered.
02
Productbesluit
Choose the task, embodiment and acceptance question for one experiment. Identify the separate evidence needed before hardware commissioning or transfer to another embodiment.
03
Technisch dossier
Reachy and SO-101 research paths use dry-run and simulation boundaries, with provenance and deployment controls kept explicit. A dual-system vision-language-action research prototype explores perception and action. Large-scale training and real-robot validation remain future work. The Physical AI Stack explores local model/runtime catalogues and rollback. Embodied Intelligence Mesh explores distributed training, validation and inference in simulation.
04
Terugvoer van bewijs
Identify the separate evidence needed before hardware commissioning or transfer to another embodiment.
Repository-/runtimegrens
Deze pagina interpreteert broncode uit een afzonderlijke venture-repository. Aanwezige code betekent niet dat de venture als dienst binnen hyperion-consulting.io draait.
AI-verwerking van bezoekers- en klantgegevens is beperkt tot Mistral via het gecontroleerde EU-eindpunt. De door de eigenaar geautoriseerde routes Helio, Zoeken en Product Council zijn ingeschakeld. Een afzonderlijke redactieroute met openbare bronnen gebruikt Anthropic met gecontroleerde Mistral-terugval; deze ontvangt geen websitevragen, klantdocumenten of bezoekersgesprekken. Deterministische hulpmiddelen blijven beschikbaar zonder externe AI.
Broncodebewijs
Wat de broncode daadwerkelijk aantoont
A robotics research family joining the Hyperion Robotics integration record with related Phytral, Physical AI Stack and Embodied Intelligence Mesh experiments. Each component retains its own source and validation boundary.
De gedetailleerde technische momentopname wordt in het Engels bijgehouden.
Volwassenheid
Robotics research · dry runs and simulation
Bewijsbeoordeling
Bronmoment tot
Product- en architectuurbesluiten
Keep experiment provenance separate from claims of physical robot success.
Use dry-run and simulation evidence before seeking physical integration authority.
Treat model, runtime and distributed-system experiments as components of one research programme.
Controleerbaar bewijs
Hyperion Robotics dry-run, simulation, provenance and guarded-deployment paths (source through 22 October 2026).
Phytral dual-system vision-language-action prototype (1 June 2026) and Physical AI Stack host/runtime/model catalogue work (1 September 2026).
Embodied Intelligence Mesh simulated training, validation and inference vertical slice (25 June 2026).
Grens van de claim
No physical commissioning or learned-policy success on real robots is established.
Large-scale model training and production GPU, ROS2, industrial and hardware adapters require separate validation.
Component source does not establish interoperability, safety certification or a completed integrated product.
Repositorybewijs is geen bewijs van klanten, implementatie, certificering of resultaten.
Werk met Hyperion
Baken een robotica-experiment af
Een experimentkader met eisen aan herkomst, simulatiecriteria en een afzonderlijk beslismoment voor fysieke validatie.
Breng een korte beschrijving mee van uw situatie, beperkingen en beslissing. We spreken de scope, verantwoordelijkheden en offerte af voordat het werk begint.