General Robots

General Robots Substack explores the journey of creating a general-purpose robot company, focusing on combining machine learning with robotics, problem-solving in creating robots for human spaces, and software practices for robotics. It provides insights into overcoming technical and market challenges, to achieve productivity and innovation in robotics.

Machine Learning in Robotics Software Development Practices Robotics Industry Challenges Product Development and Prototyping Technical Problem Solving Market Strategy for Robotics

The hottest Substack posts of General Robots

And their main takeaways
395 HN points 12 Jun 23
  1. The project involves creating a 2D platformer where players design levels and AI generates visual representations.
  2. The journey to achieve this project involved experimenting with different techniques and models, such as adjusting depth images and adding more detail to improve visual outcomes.
  3. Using the right control images, supporting structures, and techniques like adding adjustable roughness, greatly improved the quality of the generated images.
104 implied HN points 11 Jul 23
  1. Illustrations can be an integral part of essay writing.
  2. Using tools like ReMarkable2 tablet and AI assist for art creation.
  3. Iterative process involving coloring services and touch-ups.
2 HN points 12 Jul 23
  1. Programs, libraries, and programming languages that are compatible with efficient AI assistance are likely to be favored over abstractions LLMs struggle with.
  2. Using AI assistance like ChatGPT and Github Copilot can significantly boost productivity in coding tasks, especially for less experienced programmers or when working in unfamiliar domains.
  3. LLMs excel at pattern matching, but struggle with newer or less common patterns; providing examples and good documentation can greatly improve LLM performance.
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2 HN points 10 Jul 23
  1. Posetree.py is a library for dealing with poses and transforms in robotics, making code more readable and reducing common bugs.
  2. Understanding the distinction between transforms, poses, and frames is crucial for clarity in robotics code.
  3. The 'timestamps' capability of posetree.py allows for expressing powerful ideas with simple code by automatically handling frame motion.
2 HN points 06 Feb 23
  1. The key to human flourishing has shifted from land to labor to now robotics.
  2. To succeed in building a robot company, focus on making robots work in human spaces.
  3. Automating tasks, not jobs, can often lead to increased productivity and job demand.
1 HN point 09 Feb 23
  1. The main goal in creating robots is to make them work in human spaces.
  2. The dexterity problem is critical in making robots function effectively in human environments.
  3. Advancements in machine learning for vision have significantly improved, providing new possibilities for solving dexterity problems.