Robostack ($ROBOT)
Recent developments:
15% of the initial token allocation is held by the creator.
Creator token stats last updated: May 19, 2025 23:26
The following is generated by an LLM:
Summary
Cloud-native robo-simulation with AI protocol
Analysis
The Robostack project presents a cloud-native simulation platform for robotics leveraging AI and their proprietary RCP protocol. Strengths include addressing genuine industry pain points (high costs of physical testing, safety limitations, data scarcity) with a workable simulation solution. The creator holds 15% of tokens (150M), which is within acceptable bounds for alignment without over-concentration. Core contributors have relevant technical credentials (Microsoft AI experience, robotics PhDs). Tokenomics includes cliff periods and linear unlocks for most allocations (except CEX liquidity), with utility spanning platform access, buybacks, and governance. The project has phased technical milestones and integrates with ROS 2. Risks include reliance on crypto-native token design (vs. traditional SaaS model), unclear decentralization, and competition from incumbents like Nvidia's Isaac Sim. Documentation has broken links (404s), raising minor professionalism concerns. No evidence of a rug pull or excessive dumping.
Rating: 7
Generated with LLM: deepseek/deepseek-r1
LLM responses last updated: May 19, 2025 23:26
Original investment data:
# Robostack ($ROBOT)
URL on launchpad: https://app.virtuals.io/geneses/2231
Launched at: Mon, 19 May 2025 13:02:43 GMT
Launched through the launchpad: Virtuals Protocol
Launch status: GENESIS
## Token details and tokenomics
Token symbol: $ROBOT
Token supply: 1 billion
Creator initial number of tokens: Creator initial number of tokens: 150,000,000 (15% of token supply)
## Creator info
Creator address: 0x281fEd645F549F6108479E34DA9C623De80242d0
Creator on basescan.org: https://basescan.org/address/0x281fEd645F549F6108479E34DA9C623De80242d0#asset-tokens
Creator on virtuals.io: https://app.virtuals.io/profile/0x281fEd645F549F6108479E34DA9C623De80242d0
Creator on zerion.io: https://app.zerion.io/0x281fEd645F549F6108479E34DA9C623De80242d0/overview
Creator on debank.com: https://debank.com/profile/0x281fEd645F549F6108479E34DA9C623De80242d0
## Description at launch
RoboStack is the first AI-native cloud platform for robot simulation, unlocking a missing layer in the robotics stack. It enables faster, safer, and cheaper development without physical hardware. With our innovative RCP, it enables seamless coordination across agents, robots, and environments. As robotics shifts to cloud-native, multi-agent systems, RoboStack is poised to be the open infrastructure behind that future.
## Overview
**What is RoboStack?**
**RoboStack: The Cloud Simulation Backbone for Intelligent Robotics and Agentic Systems**
RoboStack is a cloud-native simulation platform designed to accelerate the development, testing, and deployment of intelligent robotic systems. RoboStack provides realistic environmental modelling and scalable computing infrastructure; it enables rapid iteration and high-fidelity simulation that reduce time-to-deployment for real-world robots.
***
**Why it matters for robotics?**
RoboStack is redefining how we build, test, and deploy intelligent robots. Traditional robotics development has long been constrained by physical limitations—hardware availability, safety concerns, limited testing environments, and high costs. RoboStack breaks these barriers by offering a 100% cloud-native platform that enables seamless development in secure, scalable, and realistic virtual environments.
The advancement of robotics is inextricably linked to simulation-based training due to fundamental technical, economic, and scalability barriers inherent in real-world testing. Robostack addresses these challenges by providing a mission-critical infrastructure layer for the robotics industry, enabling rapid innovation at scale. Below is a structured analysis of its significance:
* **Prohibitively High Real-World Testing Costs**:
Training robots in physical environments requires expensive hardware, dedicated facilities, and manual oversight. Simulation slashes these costs by enabling parallelized, risk-free experimentation.
* **Safety and Scalability Limitations**:
Testing failure scenarios (e.g., drone collisions, robotic surgery errors) in reality poses safety risks and regulatory hurdles. Simulation allows engineers to stress-test edge cases—such as extreme weather or sensor malfunctions—without endangering humans or assets.
* **Data Scarcity and Bias**:
Real-world data collection is time-intensive and often lacks diversity (e.g., limited lighting conditions, object variations). Simulations generate labeled, multi-modal datasets (LiDAR, RGB-D, torque) at scale, crucial for training robust AI models.
***
**What is RCP and How RCP works?**
At the core of RoboStack is the **RCP (Robot Context Protocol)** - our flagship innovation. RCP is a standardized communication layer that connects robots, AI agents and human users in a unified ecosystem. 
RCP defines a standardized communication layer between robots, users and dynamic environments. It ensures seamless interoperability, contextual awareness, and secure data exchange across robotic applications.
Built on RCP, RoboStack offers a suite of integrated solutions:
* Cloud Robot – Real-time remote simulation access
* Workflow Automation – Task orchestration for fleets of robots
* Agent Integration – Connect Ai agents with simulated robotic behaviour
* Data Platform – Centralized hub for sensor/Ai training data and analytics
***
**$ROBOT Tokenomics**
The $Robot Token is the native utility and governance token of the RoboStack ecosystem. It powers access, incentives, and coordination across a growing network of robots, developers, and infrastructure providers.
Distribution:
* Public Sale 37.5%
Fixed Supply
* Liquidity Pool 12.5%
Fixed Supply
* Protocol Reserves 20%
100% 30-day cliff followed by 12-month unlocks
* Core Contributors 15%
100% 2-month cliff followed by 12-month unlocks
* Mindshare Program Incentives 5%
100% 30-day cliff followed by 12-month unlocks
* Marketing 5%
100% 30-day cliff followed by 12-month unlocks
* CEX Listing & Liquidity 5%
100% 30-day cliff followed by immediate unlocks
Utility:
* Premium Access
* Revenue Buyback
* Governance Power
***
**Roadmap**
Phase 1 - 2025.Q2
* Build core simulation engine
* RCP Spec, SDK and demo
* MCP adapter for demo robot
Phase 2 - 2025.Q3
* Early access for RoboStack Cloud
* Support cloud robot livestream
* Support ROS 2 (Robot Operating System 2)
Phase 3 - 2025.Q4
* Public access for RoboStack Cloud
* A2A adapter for agents
* HTTP adapter for services
***
**Links:**
Website: [https://robostack.io/](https://robostack.io/)
Docs: [https://docs.robostack.io/](https://docs.robostack.io/)
X: [https://x.com/RoboStack\_io](https://x.com/RoboStack_io)
## Additional information extracted from relevant pages
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""" https://x.com/RoboStack
Skipped social media URL (https://x.com/RoboStack) - requires authentication
"""
""" https://x.com/RoboStack_io
Skipped social media URL (https://x.com/RoboStack_io) - requires authentication
"""
""" [Creator profile on Virtuals Protocol](https://api.virtuals.io/api/profile/0x281fEd645F549F6108479E34DA9C623De80242d0)
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""" https://robostack.io/
## https://robostack.io/
AI-Powered Robot Simulation
## Simulate and Automate
Develop and test intelligent robots in the cloud.
Accelerate deployment in realistic virtual worlds.
Start Now
## Cloud-Powered Robotics
Everything you need to build and deploy intelligent robots in the cloud
100%
## Cloud Native
Build and deploy robots with cloud-native architecture, leveraging scalable infrastructure and microservices.
## Secure Cloud Sandbox
Execute your robot code in isolated cloud environments with guaranteed security and resource isolation.
## Lightning Fast
Experience near-instant response times with our optimized cloud infrastructure and efficient execution engine.
## Comprehensive Monitoring
Track every aspect of your robot's performance with real-time metrics, logs, and detailed analytics.
## Team Collaboration
Work together seamlessly with your team to develop, test, and deploy robots with built-in version control and sharing.
Engineer
Manager
Scientist
## Robot Context Protocol
RCP is a universal protocol enabling seamless communication between robots, agents, and humans
## Cloud-Based Physics Simulation
Our cloud simulation sandbox provides a realistic physics environment for robot development and testing
### Realistic Physics
Leverage Gazebo's advanced physics engine to simulate real-world conditions and interactions with high accuracy
### Cloud Infrastructure
Access powerful computing resources on demand, scale simulations dynamically, and collaborate in real-time
### Development Sandbox
Create, test, and iterate on robot designs in a safe virtual environment before physical deployment
[Learn more about our simulation environment](https://robostack.io/docs/simulation)
# Build the Future of Robotics
Join our community of innovators and be the first to know about new features, tutorials, and success stories from the robotics world.
Stay ahead with our insights
Subscribe
## https://robostack.io/docs/simulation
Page Not Found
[Back to Home](https://robostack.io/)
"""
""" https://docs.robostack.io/
## https://docs.robostack.io/
RoboStack provides realistic environmental modelling and scalable computing infrastructure; it enables rapid iteration and high-fidelity simulation that reduce time-to-deployment for real-world robots.
At the core of RoboStack is the RCP(Robot Context Protocol) - our flagship innovation. RCP defines a standardized communication layer between robots, users and dynamic environments. It ensures seamless interoperability, contextual awareness, and secure data exchange across robotic applications.
Built on RCP, RoboStack offers a suite of integrated solutions:
- Cloud Robot – Real-time remote simulation access
- Workflow Automation – Task orchestration for fleets of robots
- Agent Integration – Connect Ai agents with simulated robotic behaviour
- Data Platform – Centralized hub for sensor/Ai training data and analytics
**Website**: https://robostack.io
**Docs**: https://docs.robostack.io
**X**: https://x.com/RoboStack\_io
[NextMission](https://docs.robostack.io/mission)
Last updated 14 hours ago
## https://docs.robostack.io/robot-context-protocol/overview
RCP(Robot Context Protocol) is a standardized communication layer that connects robots, AI agents and human users in a unified ecosystem.
Costumers of RoboStack can include LLMs, AI agents or traditional services. Through the RoboStack adapter layer, these users can establish effective and reliable communication with robotic simulation. This interaction is governed by the RCP, ensuring consistency and interoperability. The modular application framework is designed for easy expansion, allowing smooth adaption to a wider range of use cases and deployment scenarios.
[PreviousMission](https://docs.robostack.io/mission) [NextAdapter Layer](https://docs.robostack.io/adapter-layer)
Last updated 14 hours ago
## https://docs.robostack.io/data-platform
RoboStack continuously collects data from the simulation environment, including scene information, sensor readings, and robot status logs. This data is securely archived and made accessible through built-in storage, visualization, and download tools, enabling developers to efficiently analyze, test, and improve their system.
[PreviousAgent Integration](https://docs.robostack.io/agent-integration) [NextRoadmap](https://docs.robostack.io/roadmap)
Last updated 1 day ago
## https://docs.robostack.io/mission
As AI and robotic systems advance rapidly, the cost and complexity of real-world hardware development have grown significantly. Challenges such as expensive prototyping, difficult data collection and inconsistent environmental replication continue to limit the speed, scalability and accessibility of robotics innovation.
At RoboStack, we aim to address these barriers by offering a self-consistent, cloud-native simulation platform that accelerates the development, training and deployment of intelligent robots. By providing realistic environments and scalable infrastructure, we empower developers to iterate faster and deploy with confidence.
Another mission with RoboStack is to introduce RCP(Robot Context Protocol) – a unified communication standard that enables seamless integration between robots, agents and user environments, as robotic applications expand across devices and cloud services, cross-platform compatibility becomes essential.
[PreviousIntroduction](https://docs.robostack.io/) [NextOverview](https://docs.robostack.io/robot-context-protocol/overview)
Last updated 14 hours ago
## https://docs.robostack.io/products/automatic-workflow
RoboStack offers intuitive, visual workflow customization tools that enable users to design and automate complex robotic operations with ease. Users can define detailed workflows that include simulation environment setup, robot configuration, command sequences, data collection, as well as resource teardown and recycling.
These workflows can be scheduled for regular execution, making them ideal for regression testing, continuous integration, or long-term development cycles. Additionally, RoboStack supports seamless integration with platforms like Slack, Telegram,allowing real-time updates on execution status and results - keeping teams informed and development synchronized.
[PreviousCloud Robot](https://docs.robostack.io/products/cloud-robot) [NextAgent Integration](https://docs.robostack.io/agent-integration)
Last updated 14 hours ago
## https://docs.robostack.io/roadmap/phase-2-bridging-the-future
- Early access for RoboStack Cloud
- Support cloud robot livestream
- Support ROS 2 (Robot Operating System 2)
In Phase 2, we will focus on expanding the accessibility and functionality of our RoboStack Cloud platform. This phase will introduce **early access to RoboStack Cloud**, allowing a select group of users to experience the platform's capabilities firsthand. This early access program will provide valuable feedback, enabling us to refine and enhance the platform based on real-world usage.
Additionally, we will integrate **cloud robot livestream support**, enabling users to observe and interact with robots in real-time. This feature will be particularly useful for remote monitoring and control, enhancing the overall user experience. Furthermore, we will ensure **support for ROS 2 (Robot Operating System 2)**, allowing seamless integration with the widely adopted ROS 2 ecosystem. This compatibility will facilitate the development of more sophisticated robotic applications and attract a broader developer community.
By the end of Phase 2, we aim to have a robust and user-friendly platform that not only supports advanced robotic simulations but also fosters a community-driven development environment.
Phase 2 is planned to be completed by 2025 Q3.
[PreviousPhase 1: The Genesis of Simulation](https://docs.robostack.io/roadmap/phase-1-the-genesis-of-simulation) [NextPhase 3: The Open Gateway](https://docs.robostack.io/roadmap/phase-3-the-open-gateway)
Last updated 13 hours ago
## https://docs.robostack.io/adapter-layer
To support diverse user environments and enable interaction from both human operators and AI agents, RoboStack introduces a flexible adapter layer designed to accommodate various request types across platforms. For example, HTTP endpoints support integration with traditional services, A2A communication is optimized for AI agents, and MCP is tailored for interactions with LLMs.
This adaptable framework empowers not only human users to control robots, but also enables agents to access robot status, retrieve sensor data, and even train or control robots autonomously – laying the foundation for intelligent, real-time robotic applications.
[PreviousOverview](https://docs.robostack.io/robot-context-protocol/overview) [NextProtocol Interface](https://docs.robostack.io/protocol-interface)
Last updated 1 day ago
## https://docs.robostack.io/agent-integration
Built on RCP(Robot Context Protocol) and a flexible adapter layer, RoboStack enables seamless and rapid integration of AI agents into the robotic ecosystem. Agents are granted direct access to real-time robot status, sensor data and control interfaces, empowering them to interact with and operate robotic systems intelligently.
Each cloud robot is equipped with a dedicated MCP server, exposing standardized MCP endpoints. This allows developers to easily connect LLMs or other intelligent agents to control robots, enabling advanced applications in autonomy, decision-making and real-time response.
[PreviousAutomatic Workflow](https://docs.robostack.io/products/automatic-workflow) [NextData Platform](https://docs.robostack.io/data-platform)
Last updated 14 hours ago
## https://docs.robostack.io/products/cloud-robot
RoboStack offers a self-contained, cloud-native physical simulation environment for robotic development and testing. All operations are executed in the cloud, eliminating the need for any local software installation.
Within this environment, users can simulate and replicate a wide range of conditions, including extreme or hard-to-access environments. The platform supports full customization of robotic parameters, sensor configurations and environmental factors. Once a workflow is defined, it runs automatically in the cloud, with all generated data continuously collected for later use in AI training, analysis or research.
By leveraging RoboStack Cloud, developers can rapidly prototype and deploy scalable robotic systems. The platform significantly reduces the time required for testing and validation, while producing large volumes of high-quality simulation and training data – accelerating development cycles and improving model performance.
[PreviousProtocol Interface](https://docs.robostack.io/protocol-interface) [NextAutomatic Workflow](https://docs.robostack.io/products/automatic-workflow)
Last updated 1 day ago
## https://docs.robostack.io/roadmap/phase-1-the-genesis-of-simulation
- Build core simulation engine
- RCP Spec, SDK and demo
- MCP adapter for demo robot
By the end of Phase 1, we aim to provide a robust foundation for cloud-native robotics simulation, enabling developers to build, test, and iterate on their designs in a safe and efficient virtual environment. This will set the stage for the expansion and integration phases to follow.
Phase 1 will be completed by 2025 Q2.
[PreviousRoadmap](https://docs.robostack.io/roadmap) [NextPhase 2: Bridging the Future](https://docs.robostack.io/roadmap/phase-2-bridging-the-future)
Last updated 14 hours ago
## https://docs.robostack.io/roadmap
Our project roadmap is thoughtfully structured into three phases, each designed to build upon the previous one, ensuring a logical progression from foundational development to universal accessibility.
[PreviousData Platform](https://docs.robostack.io/data-platform) [NextPhase 1: The Genesis of Simulation](https://docs.robostack.io/roadmap/phase-1-the-genesis-of-simulation)
Last updated 13 hours ago
## https://docs.robostack.io/protocol-interface
The protocol interface defines a standardized set of robotic commands, including status retrieval, sensor data access, actuation commands and health monitoring. User requests are first routed through the adapter layer, where they are translated into the RCP format. These unified requests are then dispatched to the appropriate cloud-based robotic instances for execution and response.
[PreviousAdapter Layer](https://docs.robostack.io/adapter-layer) [NextCloud Robot](https://docs.robostack.io/products/cloud-robot)
Last updated 1 day ago
"""
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"overview": "**What is RoboStack?**\n\n**RoboStack: The Cloud Simulation Backbone for Intelligent Robotics and Agentic Systems**\n\nRoboStack is a cloud-native simulation platform designed to accelerate the development, testing, and deployment of intelligent robotic systems. RoboStack provides realistic environmental modelling and scalable computing infrastructure; it enables rapid iteration and high-fidelity simulation that reduce time-to-deployment for real-world robots.\n\n***\n\n**Why it matters for robotics?**\n\nRoboStack is redefining how we build, test, and deploy intelligent robots. Traditional robotics development has long been constrained by physical limitations—hardware availability, safety concerns, limited testing environments, and high costs. RoboStack breaks these barriers by offering a 100% cloud-native platform that enables seamless development in secure, scalable, and realistic virtual environments.\n\nThe advancement of robotics is inextricably linked to simulation-based training due to fundamental technical, economic, and scalability barriers inherent in real-world testing. Robostack addresses these challenges by providing a mission-critical infrastructure layer for the robotics industry, enabling rapid innovation at scale. Below is a structured analysis of its significance:\n\n* **Prohibitively High Real-World Testing Costs**:\n Training robots in physical environments requires expensive hardware, dedicated facilities, and manual oversight. Simulation slashes these costs by enabling parallelized, risk-free experimentation.\n* **Safety and Scalability Limitations**:\n Testing failure scenarios (e.g., drone collisions, robotic surgery errors) in reality poses safety risks and regulatory hurdles. Simulation allows engineers to stress-test edge cases—such as extreme weather or sensor malfunctions—without endangering humans or assets.\n* **Data Scarcity and Bias**:\n Real-world data collection is time-intensive and often lacks diversity (e.g., limited lighting conditions, object variations). Simulations generate labeled, multi-modal datasets (LiDAR, RGB-D, torque) at scale, crucial for training robust AI models.\n\n***\n\n**What is RCP and How RCP works?**\n\nAt the core of RoboStack is the **RCP (Robot Context Protocol)** - our flagship innovation. RCP is a standardized communication layer that connects robots, AI agents and human users in a unified ecosystem. \n\nRCP defines a standardized communication layer between robots, users and dynamic environments. It ensures seamless interoperability, contextual awareness, and secure data exchange across robotic applications.\n\nBuilt on RCP, RoboStack offers a suite of integrated solutions:\n\n* Cloud Robot – Real-time remote simulation access\n* Workflow Automation – Task orchestration for fleets of robots\n* Agent Integration – Connect Ai agents with simulated robotic behaviour\n* Data Platform – Centralized hub for sensor/Ai training data and analytics\n\n\n\n***\n\n**$ROBOT Tokenomics**\n\nThe $Robot Token is the native utility and governance token of the RoboStack ecosystem. It powers access, incentives, and coordination across a growing network of robots, developers, and infrastructure providers.\n\nDistribution:\n\n* Public Sale 37.5%\n Fixed Supply\n* Liquidity Pool 12.5%\n Fixed Supply\n* Protocol Reserves 20%\n 100% 30-day cliff followed by 12-month unlocks\n* Core Contributors 15%\n 100% 2-month cliff followed by 12-month unlocks\n* Mindshare Program Incentives 5%\n 100% 30-day cliff followed by 12-month unlocks\n* Marketing 5%\n 100% 30-day cliff followed by 12-month unlocks\n* CEX Listing & Liquidity 5%\n 100% 30-day cliff followed by immediate unlocks\n\nUtility:\n\n* Premium Access\n* Revenue Buyback\n* Governance Power\n\n***\n\n**Roadmap**\n\nPhase 1 - 2025.Q2\n\n* Build core simulation engine\n* RCP Spec, SDK and demo\n* MCP adapter for demo robot\n\nPhase 2 - 2025.Q3\n\n* Early access for RoboStack Cloud\n* Support cloud robot livestream\n* Support ROS 2 (Robot Operating System 2)\n\nPhase 3 - 2025.Q4\n\n* Public access for RoboStack Cloud\n* A2A adapter for agents\n* HTTP adapter for services\n\n***\n\n**Links:**\n\nWebsite: [https://robostack.io/](https://robostack.io/)\n\nDocs: [https://docs.robostack.io/](https://docs.robostack.io/)\n\nX: [https://x.com/RoboStack\\_io](https://x.com/RoboStack_io)",
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</full_details>
Investment info last updated: May 19, 2025 23:26