Tracks for 92%, legs for 8%
A pure legged robot is a beautiful demonstration and a bad vehicle.
Cost of transport for the legged mode is 1.42 against 0.31 tracked — legs cost
4.6 times the energy per metre. Using them for the whole traverse would halve
the range.
So the limbs fold flat onto the track bogies and the machine is a
fast, quiet, efficient tracked vehicle until the geometry demands otherwise. Then four
3-DoF limbs, each terminating in its own driven sub-track, take the load. Stairs,
rubble, a 0.9 m step, a lip. Then they fold again.
A 77 GHz radar, because dust lies to everything else
After a breach, after a blast, or behind a moving vehicle, the air
carries enough particulate to blind every optical sensor on the robot. Dust returns
create phantom obstacles in the lidar and cameras see nothing at all.
Multi-return rejection recovers light and moderate dust: airborne
particulate gives weak first returns with a large first-to-last range gap and no
frame-to-frame consistency. In heavy dust nothing optical survives, and millimetre-wave
is the only geometric sensor left. It is twenty times coarser — so the
map degrades from survey-grade to trafficable-or-not, and it is labelled that
way in the output. We do not silently hand an operator a bad map.
A winch, not a climbing robot
A 58 kg machine cannot free-climb a smooth 3 m concrete shaft and we
are not going to pretend otherwise. An anchor dart goes into the shaft crown, the
capstan pays out 40 m of 2.2 mm UHMWPE, and the vehicle self-belays down at 0.3 m/s.
This is the least reliable subsystem on the vehicle.
Anchor set failure in shotcreted crown, line abrasion on a rough lip, and pendulum swing
in a wet shaft are all live failure modes. It is where we expect to lose vehicles, and
it is on this page for the same reason it is in the spec.
No visible light, and a defeatable infrared one
There is no white light on the vehicle. Lidar and radar are their
own sources. The cameras work off an 850 nm flood which is invisible to the naked eye
and entirely visible to an adversary with image-intensified night vision.
So the flood is defeatable. Under a visual-EMCON state the cameras
contribute nothing and navigation runs on lidar, radar, inertial and kinematics. Mapping
drops from 2 cm to 6 cm voxels and material classification is lost. That is a real cost
and it is the operator's call, not ours.
Lower energy density, on purpose
The pack is a LiFePO₄ blend rather than the higher-density NMC the
mass budget would prefer. A propagating thermal runaway in a confined space with one
exit is not a risk we will carry into a tunnel with a dismounted force behind us.
The pack is potted, cell-to-cell propagation is blocked, and it vents
through a directed path. That decision costs about 25% of the energy density and
it is not negotiable.
The map is evidence, not a claim
Data that walked out of a hardened facility in a robot's memory has a
provenance problem unless you solved it before you went in. Every point in the cloud
carries the pose index and timestamp that produced it, hash-chained into
Revenant Ledger.
Whatever route the data takes home — relay chain, retrograde, acoustic
beacon or an ejected data slug — it arrives signed.