Adaptive AgroTechROBOTICS & SYSTEMS CONSULTANCY
FieldPilot 3DMISSION ASSESSMENT STUDIO
AUTONOMOUS FIELD OPERATIONS / 01

Plan the route. Prove the fit.

Evaluate manoeuvring space, tracking precision and mission time before a field trial.

Engineering scenarioIdeal rolling · surveyed pose · flat terrain
Ready
FIELD VIEW / FP–01

Precision in every pass.

MISSION LOCATOR
Planned routeDriven pathField boundary
Preparing the 3D fieldDetailed machinery · native geometry
Drag to orbit · scroll to zoom
00:00
Mission progress0 %
Distance driven0 m
Tracking RMS0 cm
Minimum clearance— mBody to crops / boundary
01 / FIELD GEOMETRY

Define the operation

Applied configuration. Ready for a repeatable mission.

02 / SPACE & PRECISION

Check the operating envelope

CHECK
Required headland—
/
Available—

0.15 mSpecified clearance marginAdded beyond the physical body envelope
Cross-track error0.0 cm
± 10 cmRecent simulated time
03 / SUPERVISED OPERATION

Challenge the mission

Demonstrate a blocked lane and an explicit operator restart.

Simulation only · no hardware connection

Return home reverses along the recorded trail. Obstacles remain active; no shortcut is assumed.

DECISION STUDY / SAME FIELD · SIX SCENARIOS

Which operating strategy meets your requirement?

Compare two turning methods at three speeds. The fastest mission is only useful if it meets the tracking and clearance limits.

Scenario assumptions, not a supplier quotation. The study starts fresh and excludes live interruptions.

01
A route comparison you can interrogate.

Test mission time, row-time share, tracking error and clearance using the same field geometry and controller.

Take the evidence into your discussion.Export the configuration, trajectory and comparative results.
Engineering basis & interpretationModel assumptions · equations · references

What the model calculates

Pure pursuit generates a curvature command from a point ahead on the route. Acceleration and heading-rate limits govern the integrated motion; the robot is never snapped to the centreline.

κ = 2 sin(α) / Ld
ωL,R = (v ∓ Ωb/2) / r

Headland screening uses turn radius plus the circular body envelope and margin. Crop and field clearance are checked against the oriented rectangular body during the mission.

What the results mean

This is a deterministic planning scenario with ideal rolling, flat terrain, known obstacles and surveyed position. The four-wheel rover is approximated as differential drive. Soil slip, GNSS error, perception uncertainty, terrain forces and implement performance are not modelled.

A passing scenario is a candidate for a controlled field trial. It is not a safety certification, a validated throughput forecast or a substitute for measured platform parameters. Pivot manoeuvres may disturb soil; that effect is not quantified here.

Research context

Coulter (1992) · Pure pursuit implementation ↗

Mier et al. (2025) · Agricultural headland planning ↗

These references explain the methods and operational context. Their field results are not used to calibrate this simulator.

Software notices
ADAPTIVE AGROTECH — FIELDPILOT 3D
Third-party notices

Three.js r128 and OrbitControls
Source: https://github.com/mrdoob/three.js
License: MIT

MIT License

Copyright 2010-2021 Three.js Authors

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The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

Original Adaptive AgroTech branding is preserved from the original supplied logo.
All field and robot geometry is procedural. No remote dependencies are used.
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