<p>➀ MIT researchers developed an AI-powered drone controller using neural networks and meta-learning for real-time adaptation to wind changes; </p><p>➁ The system learns from 15 minutes of flight data without requiring pre-defined wind models, selecting optimization strategies dynamically; </p><p>➂ In tests, it reduced tracking errors by 50% and shows potential for wildfire monitoring and payload-carrying applications.</p>
Related Articles
- Formnext 2025: Fraunhofer IAPT Expands the Automation of Additive Manufacturing13 days ago
- AI System Helps Robots Work Together In Factoriesabout 2 months ago
- Even Smarter: Fraunhofer IWU and Fraunhofer IIS Introduce New Generation of smartTOOL Tool Holder2 months ago
- AI Helps Robot Walk On Any Ground4 months ago
- High-Speed Multi-Camera AOI4 months ago
- AI Builds Test Setups From Words4 months ago
- Smart 4K Camera For Work And Learning5 months ago
- Four-Legged Robot Plays Badminton With People5 months ago
- Gadget Book: Our Robotics Future5 months ago
- A System For Real-Time Control Of Humanoid Robots6 months ago