Tnkr

Tnkr is a next-generation robotics development platform built entirely for the web, enabling users to design, simulate, and deploy robots without local installations or complex toolchAIns. It merges 3D spatial authoring, real-time physics simulation, and AI-powered assistance into a unified, collaborative environment — making Robotics development more accessible, visual, and scalable.

What it does

Tnkr functions as an integrated ecosystem for the full robotics development lifecycle: from conceptual modeling and algorithm prototyping to multi-robot simulation, AI-augmented debugging, and hardware deployment. Unlike traditional desktop simulators, it runs natively in browsers using optimized WebAssembly and Three.js, supporting instant access, cross-device continuity, and team-based iteration.

Key capabilities

• 3D visual robot assembly: DRAG-and-drop components like motors, sensors, and joints; configure physical pRoPErties (mass, friction, inertia) and kinematic chains (DH parameters); inspect internal structure via剖面 views and real-time rendering.
• Modular Software Architecture: Build logic using reusable, language-agnostic components (e.g., SLAM, path planning, vision modules), connected visually or via Python/C++/ROS APIs — enabling low-code or code-first Workflows.
• cloud-native physics simulation: Run high-fIDElity, multi-robot simulations with dynamic environments and realistic sensor models (LiDAR, cameras, IMU), all rendered and computed in-browser.
• AI copilot: Leverages fine-tuned open LLMs with RAG to generate control code from natural language, suggest fixes, explain errors, and auto-document projects.
• collaboration & deployment: Supports GitHub-style veRSIoning, shared workspaces, classroom management, and one-click deployment to Raspberry Pi, Jetson, Arduino, and ROS-compatible hardware.

Who it is for

Tnkr serves academic researchers validating algorithms, industrial engineers Testing AMR navigation strategies, educators teaching robotics fundamentals, and startups rapidly Prototyping autonomous systems. Its visual interface lowers entry bARRiers, while its extensibility supports advanced use cases like reinforcement learning training and digital twin integration.

How to get started

Visit tnkr.ai and sign up for a free account. The platfORM loads instantly in any modern browser — no downloads or setup required. Start by assembling a differential-drive robot in the 3D Editor, connect prebuilt modules, run a simulation, then use the AI Copilot to refine behavior. Projects are automatically saved to the cloud and accessible across devices.

Pricing and access caveat

Tnkr offers a free tier with bASIc modeling and liMITed simulation time. paid plans — including Education, Professional ($29+/month), and Enterprise tiers — unlock private projects, extended compute, AI features, and hardware deployment. ExACT pricing, supported hardware versions, and SDK availability may vary; official documentation should be consulted before production use.