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The wheelbarrow that seems to defy physics: artificial intelligence reduces by up to 90% the effort needed to move loads of up to 200 kg.

Written by Viviane Alves
Published on 02/06/2026 at 11:10
Updated on 02/06/2026 at 11:11
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Technology created by engineers from Hong Kong uses haptic sensors, electric assistance, and artificial intelligence to move up to 200 kg with much less force.

An intelligent wheelbarrow with artificial intelligence was recently developed by engineers from Hong Kong and attracted attention for its direct impact on the transportation of heavy loads.

The equipment reduces by up to 90% the effort needed to push loads of up to 200 kg, according to experimental tests released by the team responsible for the project.

In practice, therefore, a 200 kg load may require force similar to that applied to a regular wheelbarrow with only 20 kg.

Moreover, the technology transforms conventional wheelbarrows into intelligent transportation platforms, with electric assistance controlled by AI.

Sensors understand the user’s movement

The system combines artificial intelligence and haptic sensors to identify, in real-time, the force and direction of the push applied by the operator.

Then, the technology processes the data locally, without the need for an internet connection.

Thus, the integrated electric module offers automatic mechanical support proportional to the human movement.

Therefore, the user does not need to activate an accelerator, button, or manual control.

Just a light push is enough for the wheelbarrow to amplify the force and move heavy loads with stability.

Consequently, transportation becomes simpler, safer, and much less tiring.

Man operates intelligent wheelbarrow equipped with electric assistance and artificial intelligence, carrying boxes and containers in a logistics environment, illustrating the reduction of physical effort in transporting heavy loads.
Operator uses intelligent wheelbarrow with artificial intelligence to transport boxes and equipment, demonstrating the practical application of the technology in logistics and load movement activities.

Tests show performance on slopes and curves

During experimental tests, the AI cart maintained stable performance on inclined floors, curves, and narrow passages.

Even under these conditions, the system reduced the pushing effort by up to 90%, without compromising the smoothness of movement.

Additionally, the result was even more impressive on uphill climbs.

According to the researchers, the reduction reached approximately 96.4% on a ramp with a 15-degree incline.

For this reason, the team defined the concept as: the greater the pushing force, the greater the reduction in effort.

Technology seeks more safety in logistics

According to Professor Albert Ko, from Lingnan University, the key differentiator lies in the combination of AI and haptic sensors.

According to him, the system understands human behavior when pushing and offers instant assistance.

Thus, the solution can reduce common difficulties in logistics, deliveries, and cargo transportation.

Additionally, the cart features a security automatic braking mechanism.

When the operator releases the handle, the brake is activated immediately.

This way, the risk of sudden advancement or backward sliding is reduced.

Use may reach warehouses, hotels, and retail

According to Albert Ko, the smart cart has potential applications in warehouses, deliveries, hotels, and stock replenishment in retail.

Additionally, the technology shows how artificial intelligence can reach everyday physical tasks.

At the same time, the project also opens commercial opportunities for electric assistance systems applied to manual transportation.

With sensors, AI, and automatic braking, the cart created in Hong Kong points to a new phase in the movement of heavy loads.

After all, how many logistics activities could become safer if physical effort were almost completely reduced?

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Viviane Alves

Writer specializing in the production of strategic content covering macro and microeconomics, geopolitics, the energy market, the automotive sector, and global trade.

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