Exploring Ideas That's Useful or Fun
Exploring Ideas That's Useful or Fun
AI unlocks a new dimension of freedom: a world where you can study and explore without limits, and the entire world becomes your classroom. Your path to discovery is no longer defined by where you are, but by the passion that steers your direction and how far you dare to explore.
Summary:本文提出的框架从机器人导航的物理基础出发,在自动驾驶的决策架构中找到了它最具现实压力的应用场景。具体方法是将决策依据明确分割为物理层与语义层:前者为可通行介质框架(Traversable Medium Framework,TMF),由表面法向角 θ、摩擦系数 μ、介质阻力 R 三个物理量构建;后者涵盖规则、社会规范与舒适性等来自人类社会的语义信息。二者通过二值掩码乘法(Binary Mask Multiplication,BMM)顺序执行,每一个决定均可追溯至其所在层级。本论文会在近期被更新,以补充新的研究成果。
The Traversable Medium Framework: Navigation Unified
The framework bridges this gap using first-principles physics. By centering navigation on surface angle and friction, we collapse two distinct research pipelines into one continuous, robot-agnostic model. From legged robots to AGVs, this conceptual unification offers a high-efficiency, mathematically elegant tool for navigating everything from urban structures to unstructured terrain. This is Article #1; its companion, Article #2, is linked above.
Summary: Once we define the robot's perception world into a physical layer and semantic layer, their relationship becomes a simple multiplication, and sensor conflict dissolves — not because we found a better way to adjudicate between radar and vision, but because we defined what each one is for.
This is Article #2; its companion, Article #1, is linked below.
A chronological history of all published articles on this website, with the latest listed first.
Install Ceiling Lights by Yourself – This Bracket Holds It for You 2026-03-28
The Licensed Passenger-Driver Model: A Realistic Path to Robotaxi Scaling 2026-03-02
History as Context: Why Views on Regional Independence Differ 2026-02-08
The Ten-Hour Illusion: Why Teen Drivers and AI Are Not Comparable 2026-01-13
The Rise of Macrohard: Can AI Outshine Tradition? 2025-08-29
Starving AI and AI Investment 2025-08-25
The Craving for Unseen and a Next - Gen AI Product 2025-08-25
From RoboTaxi to RoboRental: A Pragmatic Path to Scaling: Safety, Costs, and the June Rollout 2025-05-20
1. One Physics, Two Problems: A Unified Framework for Robot Traversability
2. One Physics, Two Layers: How Layer Separation Resolves Autonomous Driving's Sensor Conflict
Exploring the technology, logic, and infrastructure of self-driving vehicles.
The Licensed Passenger-Driver Model: A Realistic Path to Robotaxi Scaling
From RoboTaxi to RoboRental: A Pragmatic Path to Scaling: Safety, Costs, and the June Rollout
The Ten-Hour Illusion: Why Teen Drivers and AI Are Not Comparable
1. One Physics, Two Problems: A Unified Framework for Robot Traversability
2. One Physics, Two Layers: How Layer Separation Resolves Autonomous Driving's Sensor Conflict
Deep dives into the physical craft, user experience, and hardware of modern products.
Analyzing the intersection of new technology and the way we live, work, and connect.