Generated muddy-field scenario derived from the existing four-wheel platform and field references

Tiantu Agricultural Equipment

AutonomousWork Robots

Built from real field validation to deliver operable unmanned farming systems.

Generated scenario derived from existing product and field references

TIANTU / 01Start with real work

Start with real work

We define more than a vehicle: field, task, testing and acceptance boundaries are specified as one autonomous work project.

Tiantu connects product platforms, autonomy retrofit and data services into one loop spanning the vehicle, implement, task, remote support and delivery evidence.

3 setstraceable scenario records
2product platforms
6implement packages
1delivery loop

Product matrix

Two platforms for light multi-task work and demanding field conditions.

Platform definition starts with the operating scene. The four-wheel base prioritizes modularity; the tracked platform prioritizes demanding terrain and retrofit delivery.

Generated configuration scenario derived from the existing four-wheel platform and mulcher referencesGenerated scenario
PLATFORM B / 01

Four-wheel Work Platform B

A modular mobile base for transport, implement mounting, towing, field power and light-duty work, with navigation, obstacle avoidance and task execution.

View platform capability
Generated muddy-field scene based on video references of the current yellow tracked iterationGenerated scenario
PLATFORM A / 02

Medium Tracked Autonomous Work Robot

The current yellow tracked iteration targets demanding fields and intelligent retrofit of existing fuel-powered machinery, from vehicle assessment and implement coordination to testing and acceptance.

View platform capability

One platform · six packages

Switch field tasks through a shared interface architecture.

The four-wheel platform combines a front electric implement interface, modular payload deck, rear towing interface and AC/DC mobile power on one chassis.

Autonomous navigationObstacle avoidanceMobile field power
Four-wheel autonomous work platform concept
72Vvoltage platform
4×3kWindependent drive
10km/hmaximum speed
1.2mvehicle width
4×4kWbattery pack
8kWmulching peak

Configurations and specifications are indicative. Final values are governed by the released product configuration and project acceptance documents.

Generated field-edge inspection scene based on video references of the current yellow tracked iterationGenerated scenario

Current yellow tracked iteration

Turn retrofit boundaries into a verifiable current-generation vehicle and field acceptance path.

The current visual and project reference is the yellow/orange tracked iteration. It defines chassis condition, power and implement interfaces, autonomy integration, human takeover and test records. Red machines are first-generation validation records rather than the current product state.

  1. 01
    Vehicle assessment

    Review chassis, power, hydraulic, electrical and implement condition.

  2. 02
    Interface definition

    Freeze control, power, communication, implement and safety boundaries.

  3. 03
    Joint integration

    Integrate perception, navigation, actuation and human takeover.

  4. 04
    Field acceptance

    Close the loop with task records, issue closure and acceptance evidence.

Work capability

Start with mulching, mowing and tilling, then extend to spraying, ball collection and towing.

Mulching, mowing and tilling have existing configuration visuals. Spraying, ball collection and towing are expansion concepts shown in generated scenarios; specifications remain project-dependent.

Mulching
01 · Configuration visual

Mulching

Front electric package for crop residue and vegetation management.

Mowing
02 · Configuration visual

Mowing

For grass maintenance and repeatable route-based operations.

Tilling
03 · Configuration visual

Tilling

For light rotary tillage and surface preparation tasks.

Spraying · Generated scenarioGenerated scenario
04 · Expansion direction

Spraying

A future crop-care package whose tank and interface are defined per project.

Ball collection · Generated scenarioGenerated scenario
05 · Expansion direction

Ball collection

A route-based collection scenario, not a released configuration.

Towing · Generated scenarioGenerated scenario
06 · Expansion direction

Towing

Material transport through the rear interface, with limits frozen per project.

Autonomous agricultural robot under test in a muddy field

Real field validation

Field validation is the first boundary before delivery.

Mud, route limits, obstacles and human takeover are validated before delivery, instead of being defined only as vehicle features.

Validation resultThe current archive provides traceable records for muddy fields, path following and vehicle display. Each project still freezes its own boundaries by field, implement and acceptance target.

Validation dimensions

01
Environment mapping and positioningBring mud, field ridges, boundaries and obstacles into task scope.
02
Route planning and path followingValidate route, speed, turning and deviation handling in the field.
03
Obstacle and anomaly handlingAccount for people, vehicles, ruts and temporary obstacles.
04
Implement control and human takeoverDefine takeover, implement coordination and recovery boundaries.

Validation archive

2025
Liangping, ChongqingHigh-standard farmland scenario testing
2026
Bishan, ChongqingPrototype testing in muddy fields
2026
Chengdu-Chongqing regionVehicle display at an agricultural education event

Data and remote service loop

Vehicle, task, support and acceptance evidence share one service chain.

The first release explains the service method without exposing customer data or internal systems. Fields, permissions, retention and deliverables are frozen during technical definition.

01

Vehicle state

Capture necessary operating and anomaly status without replacing field safety checks.

02

Task records

Retain necessary task, route, implement and human-takeover evidence.

03

Remote support

Coordinate diagnosis, version checks and issue handling with approved information.

04

Acceptance evidence

Package tests, issue closure, delivery confirmation and operational review.

TIANTU / 04Acceptance-led delivery

Acceptance-led delivery

Every stage from requirement intake to operation produces clear evidence.

A technical requirement, interface list, test records, issue closure log and acceptance sheet should form the evidence chain. Unfrozen configurations carry no fixed price, lead-time or volume promise.

  1. 01Requirement
  2. 02Field survey
  3. 03Technical scope
  4. 04Integration
  5. 05Field validation
  6. 06Operation

Project partnership

Define the field, task, implement and acceptance target before defining the vehicle.

Submit the field, task, implement, project stage and acceptance target. The branded mailbox is active; until automated form delivery is configured, the site will open an email draft for sending.

Review delivery path