Model the task
Translate operating conditions into motion, load, packaging, interface, and control requirements.
Engineering practice
From a digital model
to measured results.
Software, robotics, and physical prototypes need different tests and a connected engineering process. Releases, simulations, manufacturing records, and real-world feedback guide each stage.
Robotics & prototypes
A path from design to physical validation.
The servo, gripper, reducer, and mobile manipulation programs use this staged approach. Digital results guide prototypes; measured results determine validated capability.
Build and simulate
Use digital assemblies and simulation to compare designs, record assumptions, and identify unresolved questions.
Make and assemble
Prepare prototype files and BOMs, coordinate machining and printing, then check fit, assembly, wiring, and material processing.
Measure and iterate
Measure movement, force, recovery, accuracy, and endurance as required. Feed physical results back into the next design revision.
Principles
A traceable process across the delivery lifecycle.
Official releases first
A product is considered released only when an official release exists. A main branch or internal plan is not a usable product.
Traceable records
Versions, tests, interfaces, BOMs, and acceptance results remain traceable, with sources for important conclusions.
Validate in small steps
Test the highest-risk assumption before entering full development and larger investment.
Clear boundaries
Distinguish in-house work, coordinated resources, and external suppliers without presenting all supply chain capability as company-owned.
Close the issue loop
Track software, device, data, and pilot-production issues in one list until validation is complete.
Maintain continuously
Delivery includes deployment, documentation, and a maintenance path, not only a codebase.
Design to manufacturing
Bring process constraints into the design.
Prototype collaboration connects structural files, materials, machining, 3D printing, assembly, and inspection. Material choices and manufacturing methods are reviewed against the job each part must perform.
The two-finger platform combines machined and printed parts while fingertip samples support grasp-and-recovery studies. Assembly and material measurements inform subsequent iterations.
Manufacturing partners join prototyping and pilot-production work under project-specific responsibilities, quality requirements, and delivery arrangements.
Product practice
Engineering practices applied to active products.
ZyHive publishes its source code and release chain. Ai Gliding is maintained through continuous public testing and version updates.
Released · Open-source Beta
ZyHive
The project includes public source code, CI, cross-platform releases, installation, updates, and documented operating boundaries.
Public TestFlight BetaAi Gliding
Public testing covers product design, app and data engineering, release management, operations, security, privacy, and ongoing iteration.
Case policy
Customer cases are published only with authorization.
A published case requires customer approval and a clear description of the problem, scope, deliverables, and confirmed outcomes. Customer names, logos, and performance figures are not used without authorization.
Project consultation starts with scope and acceptance criteria.
Submit the project background, current stage, target outcome, and the main issue to be addressed.
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