KUSA Explorer

25

2025.08

How Robots Learn to "Imagine": An Evolutionary Approach to End-to-End World Modelling

What would you think if there was a puddle of water in front of you? Maybe you'd instinctively walk around it, maybe you'd judge it to be a trail from last night's rain, or maybe, you'd ponder if there was poor drainage nearby. It's our instinct as human beings; our brains don't just see, they understand.

Learn more

23

2025.05

Invisible "commander", deciphering the intelligent cloud control platform (below)

The significance of the intelligent cloud control platform goes beyond issuing instructions and scheduling operations for robots, and represents a technology paradigm for future urban governance - data-driven decision-making, matching resources with algorithms, and collaborating humans and machines in the cloud.

Learn more

25

2025.04

Invisible "commander", deciphering the intelligent cloud control platform (above)

When unmanned cleaning robots gradually penetrate into the daily operation of urban sanitation, how to let them really do "their respective duties, synergistic and efficient"? How to face the unexpected situation without panic, orderly relay? The answer is intelligent cloud control platform.

Learn more

20

2025.03

From "broom" to "machine", decoding the "new quality operation revolution" in the 4.0 era of the sanitation industry.

The figure of a sanitation worker swinging a broom on the street at 4am used to be the simplest footnote of urban civilisation. However, when the process of urbanisation is accelerating, this "simplicity" is encountering unprecedented challenges: budget cuts and assessment standards to enhance the double pressure, labour costs accounted for more than 60% of the operating model is unsustainable; accumulation of dust cleanup is not complete, the green belt rubbish disposal difficulties and other problems occur frequently, "to grams of net The requirement of "gram for gram cleanliness" is becoming more and more difficult to realise.

Learn more

05

2024.12

Towards embodied intelligence: core technology challenges for unmanned cleaning robots

In the 1980s, roboticist Hans Moravec made the interesting observation that "low-level sensing and motor skills are rather more difficult for robots to achieve, while high-level cognitive tasks are relatively simple." This is the Moravec paradox - while AI excels at complex cognitive tasks (e.g., playing chess, logical reasoning), it is clumsy at seemingly simple sensing and motor tasks.

Learn more

06

2024.11

What can be done "end-to-end" from the road to the street?

This year, the wave of Artificial Intelligence has swept the world again. At the beginning of October, the Nobel Prize in Physics was announced, and "machine learning expert" John J. Hopfield and "godfather of AI" Geoffrey E. Hinton won the prize together for their John J. Hopfield and Geoffrey E. Hinton, the "Godfather of AI", were jointly awarded the prize for "fundamental discoveries and inventions in machine learning based on artificial neural networks".

Learn more

Latest News

25

How Robots Learn to "Imagine": An Evolutionary Approach to End-to-End World Modelling

23

Invisible "commander", deciphering the intelligent cloud control platform (below)

25

Invisible "commander", deciphering the intelligent cloud control platform (above)

20

From "broom" to "machine", decoding the "new quality operation revolution" in the 4.0 era of the sanitation industry.

05

Towards embodied intelligence: core technology challenges for unmanned cleaning robots

06

What can be done "end-to-end" from the road to the street?