0.0 KM · STARTThe steady long run — Eos holds position
From the first kilometre Eos runs the runner's pace from behind, holds the gap, and quietly logs the session.
Auto FollowTraining Record
Continuous Mobile Training Support Platform
Support that
moves with you.
Continuous mobile support for every run.
Scroll to run
02 · The Problem
Runners move.
Most support systems do not.
As the runner leaves the start, the fixed water stations, lighting, storage points and public facilities along the greenway disappear one by one. Support was designed for places — not for people in motion.
The runner keeps moving.
Support does not.
0%
of adolescents do not meet WHO-recommended physical activity levels
0B
adults are at risk of disease from insufficient physical activity
1most-logged
sport type on Strava — running tops the platform's global activity log
03 · Eos Enters the Training
Eos joins the run.
Eos is a continuous mobile training support platform built to follow, assist and protect runners throughout the journey.
EOS CONNECTED● LINKED
FOLLOW DISTANCE2.5 M
ROUTE12.0 KM
MODEFOLLOW
04 · Experience
One complete training run.
One continuous run — each capability arrives at its own kilometre. The route below carries you through the same session every runner knows.
2.4 KM · CARRYDeep in the park — no fixed support
No kiosks, no fountains. Water, spare layers and nutrition ride in the modular storage bay instead of on the runner — the load drops from the shoulders.
CarryModular Storage
4.1 KM · ILLUMINATEUnder the trees and bridges — low light
Shaded stretches and underpasses lose the daylight. Eos carries a forward beam and side markers so both the runner and the runner's presence stay visible.
IlluminateLateral Warning
5.8 KM · PERCEIVEMixed-traffic stretch — people, bikes, pets
Walkers step off the path, bikes overtake, dogs wander. Eos perceives each one, eases off, and stops when the gap closes.
PerceiveGrade SlowEmergency Stop
7.2 KM · COORDINATEThe fork — the club spreads out
Pace groups split at the junction. Each runner keeps a link; the crew lead sees every position on one map instead of chasing group chat.
CoordinateGroup Map
8.6 KM · RESPONDAn abnormal stop — the SOS
The runner holds a side and presses SOS. Eos shares the position, lights up as a visible marker, and opens a direct line to the response contacts.
Position ShareWarningResponse Link
05 · The Product
Eos, up close.
Meet Eos.
Six systems. One continuous line of support.
Follow. Carry. Illuminate. Coordinate. Respond.
01Motion · RC chassis & wheels
02Mobility chassis
03Illumination & visibility
04Perception & positioning
05Modular cargo bay
06Control & communication
07Safety & e-stop
06 · Technology
Why it can keep up.
One line of reasoning from the world around the runner to the wheels on the ground.
Runner & EnvironmentWorld input
↓
Perception and Relative PositioningDetect · Track · Measure
↓
Behavior and Safety DecisionFollow · Wait · Stop
↓
Motion ControlSmooth and deterministic
↓
Original RC ChassisActuation
↓
Follow · Slow · Stop · RespondOutcome
07 · Safety
It must not become the risk.
Four independent layers of safety. Set an obstacle, speed and surface, then run the simulation — trusting or dragging are both fine.
L1
Environment perception
Targets, obstacles and environmental changes are sensed and classified before they matter.
L2
Graded deceleration
Speed eases in steps as the situation changes — no lurching, no surprises for the runner behind.
L3
Automatic emergency braking
A deterministic stop takes over when the safe gap is breached.
L4
Manual override & physical e-stop
The runner holds the remote; a physical button always wins over software.
DETECT
ASSESS
SLOW
STOP
SET A SCENARIO AND RUN
Stop zone
Slow zone
Detect zone
Or add one directly:
Pedestrian
Cyclist
Dog
Safety behavioural model · reaction logic, not a physics test. Every result below is clearly labelled: it is a model estimate, not measured test data.
DETECT
ASSESS
SLOW
STOP
BoundaryEos supports emergency response — it shares position, alerts contacts and marks the scene. It does not diagnose conditions, provide first aid, or replace medical professionals.
08 · Validation
From concept to evidence.
A physical prototype exists. It has been driven, measured and shown to runners. What has not been proven yet is labelled as a target — not presented as a result.
| Metric | Current result | Next-stage target | Status |
|---|---|---|---|
| Follow success rate | Controlled-field test — data collection in progress | ≥ 95% | Test target |
| Mean follow-distance error | Bench measurement pending | ≤ ±0.5 m | Test target |
| Obstacle stop distance | Bench test pending | ≤ 1.5 m | Test target |
| Single-session endurance | Bench test pending | ≥ 2.5 h | Test target |
| Night visibility range | Design validation pending | ≥ 200 m | Test target |
| Runner & club UX rating | Interviews with runners and clubs underway | ≥ 4.0 / 5 | Study in progress |
HONEST DATAEvery figure marked "Test target" is an engineering goal, not a completed result. As bench and field trials complete, results will be published here together with the test conditions, raw data and pass/fail criteria.
Bench test · in progress
FOOTAGE SCHEDULED
Follow distance test
The prototype holding its gap behind a walking runner on a measured course.
Open evidence trail
Bench test · in progress
FOOTAGE SCHEDULED
Brake distance test
Stopping distance and grading behaviour measured against an instrumented obstacle.
Open evidence trail
Field trial · planned
FOOTAGE SCHEDULED
Night visibility test
Detection distance of the lighting signature from a driver's and a runner's viewpoint.
Open evidence trail09 · Impact
From running robot to mobile support infrastructure.
What starts as one runner's companion becomes the shared support layer for clubs, schools and whole active communities.
3Good Health & Well-Being
Making long and night training safer and less burdensome supports more regular, sustained physical activity.
Relation · safer sustained activity → SDG 3.4 (non-communicable disease prevention)
9Industry, Innovation & Infrastructure
Eos explores how mobile robotics can become everyday public-health infrastructure, not a lab curiosity.
Relation · mobile robotics in public health → SDG 9.5 (innovation capacity)
11Sustainable Cities & Communities
Greenways are built for runners but serve them only with fixed amenities. Eos adds service to the moving part of the journey.
Relation · greenway service layer → SDG 11.7 (inclusive public space)
"From a running robot to mobile support infrastructure for active communities."
The route forms an Eos
Evolve.
Outrun. Shine.
The sun is up. The route is complete. The support never had to stop.