The hottest Control Systems Substack posts right now

And their main takeaways
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Top Education Topics

RobotEra Snatches Silver in Sock Inversion

General Robots • 244 implied HN points • 13 Mar 26
🕹 Technology Control Systems
  1. RobotEra beat the previous sock-inversion time by 30%, earning a silver medal under the contest rules.
  2. Longer fingers let the robot bunch the sock onto the gripper faster because it didn’t have to pack the fabric as tightly.
  3. They raised action frequency while shortening each planning horizon, making the controller more reactive and precise at high speed but trading off some long-range planning.

Transmission fidelity

The Uncertainty Mindset (soon to become tbd) • 39 implied HN points • 14 Mar 24
🕹 Technology Control Systems
  1. Using tools effectively requires understanding your skill and intent. It's important to know what you want to achieve and how to use tools to get there.
  2. The quality of tools matters a lot. Tools that work well help us execute our plans better and avoid mistakes.
  3. Developing our skills and understanding of our goals can lead to creating better tools. When we know what we want and how things work, we can build tools that fit our needs.

AI for Nuclear Fusion (Feat. Martin Riedmiller, Lead of the Controls Team at Google DeepMind)

State of the Future • 12 implied HN points • 27 Jan 25
🕹 Technology Control Systems
  1. Reinforcement learning (RL) is proving to be a powerful tool for controlling complex systems like plasma in nuclear fusion. It can also be used in other areas where traditional methods struggle.
  2. The idea of a 'universal controller' could change how we automate industrial processes. This system would adapt to different settings, making control much easier.
  3. Using large language models (LLMs) to improve RL makes learning more efficient. This means robots could learn new tasks faster by applying what they already know about the world.

Prediction and negative-delay filters: five things you should know

filterwizard • 0 implied HN points • 19 Aug 24
🕹 Technology Control Systems
  1. Filters can delay signals as they take time to process inputs and produce outputs. It's important to understand this delay, especially when working with different types of signals.
  2. While you can't completely eliminate delay in filters, you can create compensating filters to achieve zero or even negative group delay at certain frequencies. This can improve the accuracy of your system responses.
  3. Negative-delay filters can actually predict future values of a signal based on its current ramping behavior. This can be really useful in control systems and financial data analysis.
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