Cyborg Index · July 2026

Beacon-15 vs Nimbus-01

Both humanoids read on the same 8 axes and 40 sub-axes, using the published Index scores. Every difference below carries the public evidence behind it, and sub-axes with no public evidence count as 0 rather than being skipped.

Overall standing

Capability score · 0–5 over 40 sub-axes
Beacon-15
Vendor Nu
2.90of 5
Rank
#5
Coverage
35/40
Proof
2.04
Rank up 7 to 5 (was 12)
Nimbus-01
Vendor Alpha
3.48of 5
Rank
#1
Coverage
36/40
Proof
2.72
Rank up 1 to 1 (was 2)
The short answer

Nimbus-01 scores 0.58 higher than Beacon-15, and independent evidence backs it.

78% of Nimbus-01's score is carried by independently verified material rather than claims alone. Beacon-15 cannot close the gap on unscored ground alone.

Where Beacon-15 is ahead
  • Autonomy+0.55Independently backed
Where Nimbus-01 is ahead
  • Deployment+1.77Independently backed
  • Locomotion+0.99Independently backed
  • HRI+0.83Independently backed
  • Safety+0.80Independently backed
What would change it

3 sub-axes on the trailing side have no public evidence yet. If all of them scored full marks they would be worth 0.38 — against a gap of 0.58.

  • Manipulation · Tool useup to +0.125
  • Manipulation · Grasp varietyup to +0.125
  • Learning · Foundation policyup to +0.125
How much we know
89%of sub-axes covered

We have public evidence for 89% of the 40 sub-axes across these two.

Beacon-15 · 88%
Nimbus-01 · 90%
The shape of each score
Beacon-152.90
LocomotionManipulationPerceptionAutonomyLearningHRIDeploymentSafety

35/40 sub-axes have evidence

Faint outline = Nimbus-01

Nimbus-013.48
LocomotionManipulationPerceptionAutonomyLearningHRIDeploymentSafety

36/40 sub-axes have evidence

Faint outline = Beacon-15

Reading the wheels — clockwise from the top
  1. 1 Locomotion
  2. 2 Manipulation
  3. 3 Perception
  4. 4 Autonomy
  5. 5 Learning
  6. 6 HRI
  7. 7 Deployment
  8. 8 Safety

Each wheel has 40 spokes — five per axis. A longer spoke is a higher score, and the dashed rings mark 1 to 4. Hover or tab onto any spoke to read the axis, the sub-axis and the exact value. A missing spoke means there is no public evidence for that sub-axis yet, which is not the same as scoring zero. The faint outline on each wheel is the other humanoid, drawn on the same scale.

Every axis, every sub-axis
Beacon-15Nimbus-01
Shared 0–5 track · widest gap first
Deployment
2.54 / 4.32 1.77
Independently backedEvidenced cells · 5/5 vs 5/5
Named pilots
2.33 / 4.46 2.13
Field hours
2.75 / 4.07 1.32
Customer diversity
2.40 / 3.91 1.51
Supportability
2.37 / 4.54 2.17
Commercial posture
2.87 / 4.61 1.74
Locomotion
2.94 / 3.93 0.99
Independently backedEvidenced cells · 5/5 vs 4/5
Flat ground walking
2.67 / 4.05 1.38
Uneven terrain
3.49 / 3.71 0.22
Stairs
3.02 / 4.04 1.02
Disturbance recovery
2.71 / 3.93 1.22
Speed endurance
2.80 / 3.90 1.10
HRI
2.85 / 3.68 0.83
Independently backedEvidenced cells · 5/5 vs 5/5
Speech io
2.39 / 3.71 1.32
Nl instruction
2.64 / 3.21 0.57
Intent recognition
3.28 / 3.93 0.65
Safe proximity
2.61 / 4.03 1.42
Social presentation
3.33 / 3.50 0.17
Safety
2.65 / 3.45 0.80
Independently backedEvidenced cells · 3/5 vs 3/5
Functional safety
3.11 / 3.61 0.50
Certifications
2.26 / 3.35 1.09
E stop arch
2.41 / 3.38 0.97
Incident transparency
3.06 / 3.46 0.40
Force impact limits
2.42 / 3.46 1.04
Autonomy
3.09 / 2.54 0.55
Independently backedEvidenced cells · 5/5 vs 5/5
Unattended operation
3.22 / 2.38 0.84
Task horizon
3.06 / 2.81 0.25
Generalization
3.22 / 2.38 0.84
Instruction following
2.55 / 2.34 0.21
Recovery from failure
3.40 / 2.77 0.63
Manipulation
3.22 / 3.72 0.50
Independently backedEvidenced cells · 3/5 vs 5/5
Grasp variety
3.40 / 3.89 0.49
Bimanual
3.39 / 4.15 0.76
Force control
2.73 / 3.63 0.90
In hand reorient
3.41 / 3.67 0.26
Tool use
3.15 / 3.26 0.11
Perception
3.01 / 3.31 0.30
Independently backedEvidenced cells · 5/5 vs 4/5
Sensor stack
3.28 / 3.12 0.16
Scene understanding
2.90 / 3.41 0.51
Spatial memory
2.93 / 3.47 0.54
Object permanence
3.11 / 3.45 0.34
Semantic world model
2.81 / 3.10 0.29
Learning
2.90 / 2.89
Not enough public record yetEvidenced cells · 4/5 vs 5/5
Imitation learning
2.68 / 2.71
Sim to real
3.34 / 3.20 0.14
Foundation policy
3.13 / 2.77 0.36
Data flywheel
2.52 / 2.99 0.47
Transfer fine tune
2.81 / 2.80
Segment length and thickness are the gapNo public evidence yet
Which is better for what

Each row is decided by the axes that matter for that kind of work, read off the same Capability scores as the ranking. Rows only appear where both humanoids have enough public record to answer.

Manufacturing and warehouse work
Named pilots and field hours, backed by what the hands can actually do.
Nimbus-01
Nimbus-01 scores higher on Deployment and Manipulation — 4.12 against 2.77 for Beacon-15.
Running without a human in the loop
Unattended operation and task horizon, backed by what the robot can perceive.
Beacon-15
Beacon-15 scores higher on Autonomy and Perception — 3.06 against 2.79 for Nimbus-01.
Moving through difficult ground
Uneven terrain, stairs and disturbance recovery.
Nimbus-01
Nimbus-01 scores higher on Locomotion — 3.93 against 2.94 for Beacon-15.
Working alongside people
Functional safety and certification, plus how it reads and answers people.
Nimbus-01
Nimbus-01 scores higher on Safety and HRI — 3.53 against 2.72 for Beacon-15.
Picking up new tasks
Imitation learning, transfer and generalisation across tasks.
Beacon-15
Beacon-15 scores higher on Learning and Autonomy — 2.96 against 2.77 for Nimbus-01.
Research and developer use
How much of the stack is documented and reproducible.
Nimbus-01
Nimbus-01 scores higher on Learning and Perception — 3.03 against 2.93 for Beacon-15.
How solid the record is on each side
Beacon-15
Sub-axes on the record
35 of 40 · 88%
Carried by verified material
70%
Rests on claims and demos
0.86
Best documented — Locomotion, Manipulation, Perception, Autonomy, Learning, HRI, Deployment, Safety
Nothing on the record — every axis has at least one read
Nimbus-01
Sub-axes on the record
36 of 40 · 90%
Carried by verified material
78%
Rests on claims and demos
0.76
Best documented — Locomotion, Manipulation, Perception, Autonomy, Learning, HRI, Deployment, Safety
Nothing on the record — every axis has at least one read

What this comparison cannot settle

  • Neither humanoid has a public read on 2 of the 40 sub-axes, so those cannot be compared at all.
  • 5 sub-axes are read on only one side. A one-sided cell is undecided, not a zero for the silent side.
  • Demonstrations happen in different environments and product revisions are not always equivalent, so like-for-like uptime and throughput figures do not exist for most of the field.
Cyborg IndexJuly 2026 editionCapability scoremethodologypreview cohort