Robotics, assistive engineering, aerospace component research, AI systems, computational analysis, and experimental product development.
Select a program to inspect its current focus, development direction, and technical stack.
A mobile helper-robot platform combining onboard computing, voice interaction, computer vision, multi-direction sensing, mobility, and layered safety behavior.
A modular lower-body engineering prototype exploring adjustable structures, powered joints, sensing, mechanical constraints, and controlled assistance.
Component identification, documentation research, traceability review, market evaluation, and responsible sourcing or resale with explicit condition disclosure.
Evidence-driven work on cognition, memory, attention, learning, neurobiology, and related questions where structured synthesis or computational analysis adds value.
Carlisle Labs connects mechanical design, embedded hardware, AI, research, visualization, and technical documentation so ideas can be evaluated as working systems.
The technical trail matters. Each iteration should make it possible to explain what changed, why it changed, and what the testing showed.
Constraints, intended function, measurable objective, unknowns.
Mechanisms, electronics, software, models, research method.
Build enough of the system to challenge the key assumptions.
Performance, failures, safety concerns, usability, anomalies.
Use evidence to drive the next version and preserve design history.
Define the success criteria, constraints, interfaces, unknowns, and what evidence would count as progress.
Aerospace work is handled conservatively: identify the component, determine what records exist, contact appropriate manufacturers or MRO organizations, and disclose condition accurately.
Manufacturer, part number, serial, revision, markings, configuration, and visible condition.
Manufacturer records, traceability, service history, and qualified evaluation where appropriate.
Undocumented or untested components are not represented as airworthy, serviceable, or released.
The research arm is intended to publish structured technical work with sources, methods, assumptions, limitations, and revision history. Select a format below for more detail.
Compact evidence summaries, design rationale, open questions, and technical observations.
Structured reports with methods, evidence, citations, limitations, and versioned conclusions.
Design changes, test results, failures, component decisions, and revision history.
Engineering decisions and public claims are grounded in documented testing, measurable results, and technical evidence.
For engineering collaboration, aerospace inquiries, research discussion, or future product work, send a concise description of what you need.