R&D Division

Research in motion

The science behind the stride. Our research teams advance the biomechanics, neural interfaces, materials, and measurement methods that make the next generation of Unijambiste prosthetics possible.

Where we focus

Research programs spanning hardware, software, and the people who use it.

Biomechanics Lab

Motion-capture and force-plate studies that model natural gait and translate it into adaptive control.

Neural Interface Research

Decoding residual-limb signals so intent translates into movement with ever-lower latency.

Materials Science

Carbon composites and aerospace alloys tuned for the strength-to-weight ratio of a real limb.

Gait Data & ML

On-device models that learn each wearer's stride from streamed sensor data over thousands of steps.

Clinical Studies

Longitudinal trials with prosthetists and wearers to measure comfort, confidence, and real outcomes.

Open Measurement

Controlled test endpoints and reproducible protocols for transport, telemetry, and network behaviour.

Measurement infrastructure

Reliable research needs reproducible measurement. Our test endpoints are built for repeatable runs — controlled caching, modern transport protocols, and instrumentation that captures exactly what happened on the wire.

  • Dedicated low-latency endpoints for client-side transport tests
  • Modern protocol support including HTTP/3 over QUIC
  • Non-cacheable responses for repeatable, uncontaminated measurement
  • Full request/response telemetry for offline analysis
  • Isolated from production so experiments never affect wearers
HTTP/3
QUIC transport
< 1 ms
Sensor sampling
10 kHz
Capture rate
No-store
Cache policy

Recent notes

Working drafts from the lab. Content is intentionally non-cacheable for live measurement.

Transport

Connection establishment under lossy paths

Comparing handshake latency and head-of-line behaviour across transport stacks on constrained links.

Draft · build marker —
Biomechanics

Energy return in powered ankle designs

Quantifying push-off efficiency across actuator configurations using instrumented gait trials.

Draft
Measurement

Path MTU and datagram sizing on consumer egress

Probe strategies and observed black-holing when carrying telemetry over UDP transports.

Draft · updated —

Collaborate with our research team

Working on biomechanics, neural interfaces, or measurement methods? We partner with clinicians, universities, and engineers advancing mobility science.

Contact Us — hello@unijambiste.ca