Research
THALAMO works across the full path from biological signal to physical movement. These are the areas we are actively reading, building and testing in — with an honest label on how far each one has actually gone.
Research areas
- 01Prototyping
Signal acquisition
How biological signals are captured, amplified and conditioned before anything else can happen. Electrode placement, contact stability, and rejecting the motion artefacts that make lab results fail in daily use.
- 02Active
Surface EMG
Our current working substrate. Non-invasive, well characterised, and limited: surface electrodes see the summed activity of many motor units through skin, which caps how finely intent can be resolved.
- 03Exploratory
Advanced & implantable sensing
A research direction toward higher channel counts and, in the long term, implanted interfaces recording closer to the source. This work is exploratory. Nothing here has been used in a human.
- 04Developing
Machine learning
Models that map biosignal features onto intended movement, and that keep working as electrodes shift, muscles fatigue and the wearer changes over a session.
- 05Prototyping
Prosthetic control
Turning a predicted intent into motion that feels immediate. Latency budgets, proportional control, grip force, and failing safely when the decoder is uncertain.
- 06Long-term
Sensory feedback
Returning information to the user — contact, pressure, position. Today’s prostheses are largely open-loop. Closing that loop is the hardest and most valuable problem in the field.
- 07Ongoing
Human-machine interfaces
The wider question underneath all of it: what a good interface between a nervous system and a machine should actually look like, including calibration, trust and daily-use ergonomics.