Pyros @pyroscli
One interface. You talk. Your robot gets built. Join the waitlist : https://t.co/t0n9UcyLWL getpyros.com Joined March 2026-
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@RoundtableSpace We have build quite similar , and we have the control to change the kinematics / our system also flags out if the description provided by user is not feasible to build as hardware . Have a look : x.com/pyroscli/statu…
What if building a robot was as simple as describing it? I typed a single sentence: "Build a quadruped robot that walks a figure 8." Everything else was engineered automatically. @pyroscli doesn't just generate robot code. It executes the entire robotics engineering pipeline.
@thesupermanmx x.com/pyroscli/statu… Have a look
What if building a robot was as simple as describing it? I typed a single sentence: "Build a quadruped robot that walks a figure 8." Everything else was engineered automatically. @pyroscli doesn't just generate robot code. It executes the entire robotics engineering pipeline.
What if building a robot was as simple as describing it? I typed a single sentence: "Build a quadruped robot that walks a figure 8." Everything else was engineered automatically. @pyroscli doesn't just generate robot code. It executes the entire robotics engineering pipeline. It designs the robot's morphology / generates the geometry and inertias / solves and validates the kinematics / sizes the actuators / plans a dynamically feasible gait / tunes the controller and runs the simulation. Every dimension / torque / mass and trajectory comes from deterministic engineering tools with traceable sources not language-model guesses. In this demo, you'll watch the robot assemble in real time as the engineering pipeline executes, then immediately begin walking a smooth figure-8 trajectory. The goal isn't to produce another URDF that looks correct. The goal is to produce a robot that is mechanically consistent, mathematically verified, and ready to build. Natural language in. Verified robot out.
Insightful. At Pyros, we're building toward a future where robotics isn't just visualized , it's physically grounded. Every robot is backed by a real physics simulation, not just a rendered animation. You can modify gait parameters, walking direction, trajectories, body orientation, or target paths using natural language, and the simulation updates accordingly. As you mentioned IMUs, we also integrate live simulation telemetry to track the robot's state in real time. That includes body pose, joint states, velocities, contact forces, and other onboard sensor data, allowing us to validate behavior as the robot moves not just watch an animation. Our goal is to move beyond generating robot models to generating robots that obey physics, can be verified, and are ready to transition from simulation to the real world.
@anupamrjp x.com/pyroscli/statu…
What if building a robot was as simple as describing it? I typed a single sentence: "Build a quadruped robot that walks a figure 8." Everything else was engineered automatically. @pyroscli doesn't just generate robot code. It executes the entire robotics engineering pipeline.
@d0rc honest about ? . Can you explain your question
@calhim7 Yes . That's we are working on as hardware components are costly . Will update here once it'd done
@earthtojake cool , we are actually building something for you people Have a look : getpyros.com
Day 1 of what's happening at (@pyroscli ) . So we are building pyros for 2 months now : One interface / You talk / Your robot gets built. Already had 500 + downloads of our npm package that we have given access only to closed private groups . And the response we are getting is amazing !! So what pyros actually does ? It is built around ROS 2, simulation tools like Gazebo and MuJoCo, workspace diagnostics, robot generation, code editing, migration, and debugging. It can be used from multiple entry points: - CLI using pyros - Interactive TUI - MCP server using pyros-mcp - FastAPI HTTP API using pyros serve - CI pipeline using pyros ci - Autonomous workflow using pyros run What we have implemented today is just crazy : Today, we integrated the optional LLM layer into Pyros. This means Pyros can now use models like OpenAI or Anthropic to understand user goals / explain logs / generate robot specs / summarize reports and assist with debugging. This is the important part: The LLM is not replacing the robotics logic. Pyros still relies on structured, deterministic robotics engines underneath. The LLM simply helps make the workflow more natural / faster / easier to use. If you wanna use it , drop a message / dm . And hit up a follow , so that when we do something crazy at pyros , you should hear it first . And join the waitlist : (getpyros.com) 🤖
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