Project ideas from Hacker News discussions.

We're not done with point clouds

📝 Discussion Summary (Click to expand)

Top 3 Themes in the Discussion

  1. The sheer breadth of robotics problems

    "Posts like these really highlight how much there to think about in robotics. Below the surface of what immediately comes to mind there is just an abundance of topics to address to get an actually well working robot." – fisian

  2. Real‑world robots turn into a painful distributed system of cables, batteries, etc.

    "And when you get to an actual robot, you find it’s a distributed system with all the attendant challenges, so you build yourself up for that, and then your time, attention, and maybe your soul are crushed by connectors, cables and batteries." – robotresearcher

  3. Debate over collision checking—moving beyond noisy point clouds to sparser, predefined models

    "Why don’t they marry the visual categorisation of objects with a sparse predefined model to simplify? Point clouds seem like a noisy layer to use and better as verification." – ilikerashers


🚀 Project Ideas

Generating project ideas…

RoboGraph - Graph‑Based Collision Checker for Multi‑Robot Simulations

Summary

  • Streamlines multi‑robot collision detection using sparse graph representations instead of noisy point clouds
  • Enables scalable, real‑time verification for autonomous fleets

Details

Key Value
Target Audience Robotics researchers & developers building fleets
Core Feature Graph‑based collision check that fuses visual categories with predefined shape models
Tech Stack Python, ROS 2, PyTorch, NetworkX
Difficulty Medium
Monetization Revenue-ready: Subscription ($9/mo per team)

Notes

  • HN users repeatedly mention “collision check systems don’t use point clouds” and want verification shortcuts
  • Opens a new discussion lane around lightweight, model‑based safety layers

CablePlanner - Automated Cable & Connector Routing for Mobile Robots

Summary

  • Eliminates manual wiring headaches by automatically routing power and data cables through compact robot designs
  • Integrates with CAD and simulation to predict strain and battery impact early

Details

Key Value
Target Audience Hardware engineers & robot builders
Core Feature AI‑driven routing optimizer that suggests optimal cable paths and connector placements
Tech Stack C++, Blender API, Z3 solver, OpenCV
Difficulty High
Monetization Revenue-ready: One‑time license ($199)

Notes

  • Directly addresses “connectors, cables and batteries” pain point highlighted by robotresearcher
  • Could spark debate on open‑source vs commercial routing tools

SimBatt - Distributed Simulation Sandbox with Plug‑and‑Play Physics Modules

Summary

  • Provides a ready‑made, distributed environment for testing multi‑robot systems, reducing dev time spent on wiring together simulators
  • Offers pre‑built physics plugins that abstract battery, connector, and environmental challenges

Details

Key Value
Target Audience Robotics startups & academic labs
Core Feature Cloud‑or‑edge orchestrated simulation with hot‑swap physics modules (e.g., battery drain, connector wear)
Tech Stack Go, Kubernetes, ROS‑Bridge, Unity Engine
Difficulty High
Monetization Hobby

Notes

  • Tackles “your time, attention, and maybe your soul are crushed by connectors, cables and batteries” sentiment
  • Encourages deeper discussion on ecosystem of modular simulation components

Read Later