𝗦𝗼𝗳𝘁 𝗥𝗼𝗯𝗼𝘁𝘀 𝗙𝗼𝗿 𝗚𝗿𝗲𝗲𝗻 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴𝘀

𝗦𝗼𝗳𝘁 𝗥𝗼𝗯𝗼𝘁𝘀 𝗙𝗼𝗿 𝗚𝗿𝗲𝗲𝗻 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴𝘀

Carbon-negative buildings use living materials. These materials absorb CO2. They need constant care. Rigid robots damage these surfaces. You need soft robots for this task.

But soft robots have a problem. Sensors fail in humid air. I solved this with cross-modal knowledge distillation.

Look at how it works:

• A teacher model learns from vision, touch, and chemical sensors.
• A student model learns from the teacher.
• The student only uses vision.

The student learns to see touch and chemicals. It works even when sensors break.

Key lessons for you:

• AI is robust when it handles sensor failure.
• Vision models learn to see texture and pressure.
• Slow learning stops the AI from forgetting.

Quantum computing is the next step. It helps align data better.

We need AI to help the planet. Sustainable systems are the future.

Source: https://dev.to/rikinptl/cross-modal-knowledge-distillation-for-bio-inspired-soft-robotics-maintenance-in-carbon-negative-117a Optional learning community: https://t.me/GyaanSetuAi