INDUSTRIAL & LOGISTICS ROBOTS · SENAD

Senad iLoabot-Ultra

Robot for autonomous bulk unloading of rows of boxes from containers and vehicle cargo beds

Senad iLoabot-Ultra is an autonomous bulk unloading robot that picks up one row of a stack at a time and transfers it to an integrated conveyor. It plans its route and performs precise placement using machine vision and adaptive control, improving performance over time using operational data.

Operating capacity: Bulk unloading by row; loads of different shapes, weights, and materials
End effector: Wide vacuum head with multiple suction cups picks up an entire row of boxes at once; transfers them to the integrated conveyor
Material: Standard bodies, truck bodies and containers; rapid commissioning without site modifications

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Senad iLoabot-Ultra
what is it evaluated for?

iLoabot-Ultra is an autonomous bulk-unloading solution in Senad's iLoabot family, designed to unload an entire row of a stack at once rather than picking items individually. Its wide vacuum head with multiple suction cups holds cartons in a row and transfers them directly to the integrated conveyor, feeding them downstream to a sorting or palletizing line. Integrated machine vision, a machine-learning-based decision mechanism, and a highly integrated control architecture allow the robot to perceive its working environment and loads in real time, plan its route, identify cartons, and perform precise picking and placing. Operational data accumulated during each unloading cycle improves the decision logic and motion trajectory; loads of different shapes, weights, and materials can be handled by the same system. It is compatible with standard trailers, truck bodies, and containers, and is designed to work alongside conveyors and other warehouse equipment. It is suitable for distribution centers and inbound logistics applications with high-volume, low-variety carton flows.

Distribution center vehicle unloading lineContainer and truck body unloading operationsInbound logistics automationWarehouse operations with high load flow and low variety

PRODUCT-SPECIFIC

Key features.

Features compiled from source product information; evaluate according to the model and configuration.

An entire row is picked at once

The wide vacuum head with multiple suction cups holds an entire row of the stack at once and places it on the integrated conveyor; this reduces individual picking cycles and speeds up the vehicle-unloading process.

Real-time perception and planning

The machine vision system perceives the working environment and target load in real time; the system determines its own route and calculates the movements required for precise picking and placement.

Performance that improves with use

The machine-learning-based decision mechanism collects operational data during every run; this data improves the decision logic and motion trajectory over time, increasing adaptability to different load types.

Compatibility with a variety of loads

Cartons of different shapes, weights, and materials can be handled by the same system; a single infrastructure is designed to work with a variety of packaging types.

Integration with warehouse equipment

The integrated conveyor is designed to work alongside conveyor belts and other warehouse equipment; commissioning on existing lines is planned to be possible without on-site modifications.

SOURCED PRODUCT DATA

Technical features.

Values are taken from the source product page. Confirm the package, software, and accessory contents against the manufacturer's current documentation before ordering.

Senad iLoabot-Ultra technical data
Feature	Value
Operating capacity	Bulk unloading by row; loads of different shapes, weights, and materials
End effector	Wide vacuum head with multiple suction cups picks up an entire row of boxes at once; transfers them to the integrated conveyor
Material	Standard bodies, truck bodies and containers; rapid commissioning without site modifications
Sensors	Machine vision system: real-time perception of the working environment and target load, carton recognition, precise picking and placement
Interfaces	Integration with conveyors, conveyor belts, and other warehouse equipment
Processor	Machine-learning-based decision mechanism and highly integrated control system; as operational data accumulates, they improve the decision logic and motion trajectory autonomously
Software features	Automation of the entire unloading process; automatic route planning; loads of different shapes, weights, and materials; operation alongside conveyors and handling systems; transferring heavy, repetitive work to the robot

PRODUCT INFORMATION SOURCES

Sources and documentation.

This catalog is intended to help explore product information. No commitments are made on behalf of Robotik Çözümler regarding stock, authorized dealers, pricing, warranty, or after-sales service terms.

FREQUENTLY ASKED QUESTIONS

Frequently asked questions.

What is iLoabot-Ultra?

iLoabot-Ultra is an autonomous bulk-unloading robot that holds an entire row of a stack at once and transfers it to an integrated conveyor; it automates the unloading process using machine vision and adaptive control.

What is the main difference between iLoabot-Ultra and iLoabot-M or iLoabot-Pro?

The Ultra model picks an entire row of the stack at once using its wide suction-cup head; the M and Pro models pick cartons individually using an arm-based design. A site assessment determines which model is suitable for the flow profile.

Does it accommodate cartons of different sizes and weights?

Yes. The system can handle different shapes, weights, and materials; machine learning adapts processing decisions and movements over time to increase compatibility.

Does it need to be integrated with an existing conveyor or warehouse line?

The system is designed to work alongside conveyors, conveyor belts, and other warehouse equipment; the scope of integration is planned according to project requirements.

How does performance improve after installation?

Operational data collected during each unloading cycle improves the decision-making system and motion trajectories; as a result, efficiency and accuracy increase with use.

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