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AI Tools Every Roofer Should Use in 2026

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 Roofing used to be ladders, tape measures, and missed calls while you were up on a roof. In 2026, a lot of that work happens before anyone climbs anything — satellites and drones measure the roof, AI answers the phone while you're on a job, and software writes the estimate. Here are the tools working roofers actually use, job by job. Measure the Roof Without Climbing It Roofr turns satellite images into a full measurement report, and its Starter plan is free  — you only pay $13 to $19 per report. EagleView does the same job with aerial imagery and property data, with reports starting around $18. Hover takes a different route: snap photos of the house with your phone and it builds a measured 3D model, with projects from $29 to $69 and the first three free. Any of the three beats a tape measure on a 40-degree slope, and the report doubles as the number your estimate is built on. Run the Whole Job From One Screen Once the estimate is done, AccuLynx and JobNimbus take over — lead...

Krafton's Ludi 0.2 Teaches Robots to Read Human Intent — Here's How It Works

 

Krafton Ludi 0.2 robot AI cover

Krafton logo

The company behind PUBG: Battlegrounds just made its boldest move yet beyond gaming. Krafton, the South Korean publisher, has unveiled Ludi 0.2, an AI system built to help robots understand people — not just their words, but their gestures, their feedback, and their changing plans. It is one of the clearest signs yet that the robot race is shifting from machines that move to machines that collaborate.

What Ludi 0.2 actually is

Ludi 0.2 comes from Ludo Robotics, Krafton's robotics research subsidiary. It was presented on October 30 at the 2026 Bay Area Robotics Symposium at UC Berkeley by Lee Kang-wook, Krafton's chief AI officer and Ludo Robotics' chief technology officer. It is the successor to Ludi 0.1, released in August 2026, which combined a vision-language model for conversation and reasoning with movement and object manipulation. (Note in the post: some Korean outlets transliterate the name as Rudi 0.2.) A demonstration showed a Unitree G1 humanoid robot handling objects using the system.

The five upgrades that matter

Ludi 0.2 improves five capability areas over its predecessor: social intelligence that responds to human intent, feedback and social cues; memory and reasoning that hold onto context even when a task changes midstream; integrated tool manipulation that links movement, object handling and interaction; gesture understanding that reads human body language; and smoother, more flexible physical movement. In practice, the robot can understand spoken instructions, keep conversational context, and ask follow-up questions when a command is unclear — instead of blindly cuting the wrong thing.

Why social intelligence is the hard part

Most robots today are good at following precise orders in controlled spaces. Real homes and workplaces are messy: people interrupt themselves, change their minds, wave vaguely at things, and expect to be understood anyway. That gap is exactly what Ludi 0.2 targets. If a robot can read a gesture, notice feedback, and adapt when plans shift, it stops being a fancy appliance and starts being a coworker. The same challenge shows up in robot-run drug labswhere machines must work safely alongside human scientists.

What comes next

Ludo Robotics has also formally opened a headquarters research lab in Palo Alto, California, to work alongside its Seoul office, and it is already developing Ludi 1.0 — a next-generation foundation model meant to fold environmental perception, conversation and physical action into a single unified system. That is the long game: one model that sees, talks and acts, rather than three systems bolted together.

My take

Ludi 0.2 is not a product you can buy, and Krafton has not announced pricing or a release date — this is research, presented at an academic symposium. But it matters because of who is building it: a gaming giant with deep AI talent is betting that the next big platform is not a screen, but a machine that shares your space. AI agents are already moving from chat windows into real workflows; robots that genuinely understand people are the next step. The company that cracks social intelligence first will not just sell robots — it will define how humans and machines work together.

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