Senad Iloabot-P (iLoabot-P)

Senad Iloabot-P (iLoabot-P)

Developed by Senad Technology, iLoabot-P is part of a broader product line described in company materials and industry case compilations focused on “embodied” robotics for logistics, combining mobile navigation, 3D vision, and robotic manipulation to automate end-to-end handling steps.

Design and Features

Mobile base and deployment model

iLoabot-P is described as a robot that can autonomously navigate to a target location and then execute handling operations, reducing the need for fixed conveyors or dedicated workcells in some scenarios. In published descriptions, the robot’s mobility and autonomy are emphasized as enabling deployment across multiple work points (for example, different loading bays, cage staging zones, or receiving lines).

Core functional capabilities

Across publicly available product descriptions and a logistics application case, iLoabot-P is associated with several operational capabilities:

• Autonomous transport and loading/unloading support (moving to task locations and handling heavy goods workflows)

• Autonomous depalletizing/palletizing, including support for multi-SKU stacking/mixed operations (as described in product highlight text)

• Autonomous cage unloading (roll-container/bin-cage workflows), including positioning to a cage and placing items onto a conveyor or fixed drop-off area

• Intelligent picking/sorting assistance for complex logistics tasks, where items may be placed directly into cages or onto pallets after selection

“Embodied” sensing and control concept

One case write-up explains the system concept using a humanoid-inspired decomposition—“brain, arms, eyes, touch, feet”—to describe the integration of compute, perception, safety sensing, and mobility with a robotic arm for manipulation. While presented as an explanatory model, it highlights the intended design philosophy: fusing 2D/3D perception with planning and arm control to execute autonomous handling actions.

Technology and Specifications

Public materials emphasize navigation + perception + manipulation as the enabling stack. Where numeric parameters are disclosed, they largely appear in a published application case describing Senad’s logistics robotics approach (including a figure referencing iLoabot-P).

Navigation and autonomy

• SLAM-based autonomous navigation is described as part of the solution approach, typically paired with radar/LiDAR sensing for localization and obstacle avoidance.

• Integration with warehouse software (e.g., WMS/WCS) is described as supporting automated workflows and high operational accuracy in identifying and handling goods states.

Vision system (3D perception)

A published case description specifies a 3D camera subsystem with the following parameters:

• Working distance: up to ~3 m

• Depth/measurement accuracy: ±5 mm (as stated)

• Frame rate: 20 fps

• Image resolution: 2560 × 1920

• Image output time: ~50 ms (as stated)

These figures are presented in the context of providing fast, accurate perception data for recognition and planning.

Safety sensing (“touch”) via LiDAR

The same case description details LiDAR characteristics in support of safe operation:

• Protection zone: ~3 m

• Alarm zone effective distance: ~10 m

• Response time: ~70 ms

• Scan angle: ~275°

• Max measurement distance: up to ~40 m (as stated)

• Example measurement accuracy: ±20 mm at 20 m (as stated)

Mobility base (“feet”) and terrain tolerance

In the application case, the mobile platform is described as an ASV rubber tracked chassis intended for stable heavy-load operation in complex conditions. Listed performance characteristics include:

• Gap crossing capability: up to ~400 mm

• Vertical obstacle clearance: up to ~80 mm

• Climbing slope: up to ~45°

• Parking slope: ~27.5°

Manipulation (“arms”) and task reach

The same case narrative references a 7-axis robotic arm concept (six degrees of freedom plus an additional lift axis) to expand reach and accommodate higher/taller loading spaces. This is presented as increasing flexibility for grasping and compatibility with a wider range of cargo spaces.

Note: Public sources emphasize capabilities and representative subsystem parameters, but complete commercial datasheets (payload, cycle times, arm model, end-effectors, and safety certifications by configuration) may vary by deployment and are not fully disclosed in the accessible excerpts.

Applications and Use Cases

Warehousing and distribution centers

iLoabot-P is positioned for receiving, replenishment, and outbound staging tasks where cages/roll containers and pallets are common. Typical uses include unloading goods from cages to conveyors, depalletizing mixed cases, and re-stacking into outbound-ready units.

Logistics hubs and cross-docking

In cross-docking and hub operations, mobile autonomy can help a single robot service multiple lanes or work points, reducing reliance on fixed automation and allowing reconfiguration as throughput changes.

Manufacturing intralogistics

Although primarily described in logistics terms, the same autonomy stack (navigation + manipulation) can map to intralogistics needs such as feeding lines, moving containers between cells, and handling repetitive material transfers in mixed environments.

Advantages / Benefits

iLoabot-P is commonly framed around four operational benefits:

1. Reduced manual handling for high-intensity, repetitive logistics tasks (improving ergonomics and safety).

2. Flexibility vs. fixed automation, because a mobile robot can be reassigned across zones as needs change.

3. Perception-guided handling using 3D vision plus safety LiDAR to support operation in dynamic environments.

4. System integration potential with WMS/WCS to align robot actions with warehouse workflows and data traceability.

FAQ Section

What is Senad iLoabot-P?

Senad iLoabot-P is an autonomous logistics robot designed for heavy-duty warehouse workflows such as cage unloading, depalletizing/palletizing, and material handling, combining mobile navigation with perception-guided manipulation.

How does iLoabot-P work?

In published descriptions, iLoabot-P uses a combination of SLAM navigation, 3D vision for identifying goods and target positions, safety LiDAR for environment monitoring, and robotic-arm control (including planning and collision checking) to execute autonomous handling steps.

Why is iLoabot-P important?

It targets automation of labor-intensive logistics tasks where manual handling is costly or risky. By being mobile and perception-guided, it is positioned to automate more varied, real-world warehouse conditions than some fixed automation approaches.

What are the benefits of iLoabot-P?

Reported benefits include autonomous navigation to work points, support for cage and pallet workflows (including mixed SKU handling in described materials), perception and safety sensing suited to dynamic environments, and integration potential with WMS/WCS for workflow alignment.

Summary

Senad iLoabot-P is an autonomous logistics robot aimed at automating demanding warehouse handling tasks—especially cage unloading and depalletizing/palletizing—by combining SLAM navigation, 3D vision, safety LiDAR, and robotic manipulation. Public materials emphasize mobility, workflow integration, and perception-guided operation as key differentiators for flexible logistics automation