Quasi Robotics
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About
Quasi Robotics specializes in the development of autonomous mobile robots (AMRs) designed to optimize the point-to-point transport of supplies and materials within facilities. The company’s flagship product line, the Model C2 series, includes various robotic carts tailored for specific environmental footprints, such as warehouses, laboratories, and healthcare settings. These robots are powered by Q.AI Intelligence, a proprietary software stack that handles the complex navigation and decision-making processes required for autonomous operation. The primary goal of these systems is to automate repetitive delivery tasks, allowing human personnel to focus on more complex responsibilities while increasing overall operational efficiency. The technical foundation of the Model C2 series rests on its ease of integration and real-time responsiveness. Unlike older automation technologies that require permanent floor modifications, Quasi robots utilize a "Tap, Map, Deploy" system. Operators guide the robot through its workspace to create a digital map, a process that typically takes about 45 minutes and requires no specialized technical training. Once deployed, the robots use onboard sensors and AI algorithms to detect and navigate around people, equipment, and unexpected obstacles safely. Control is maintained through an intuitive touchscreen interface on the robot itself or via a dedicated mobile app that enables remote calling and one-touch dispatching. To support large-scale operations, Quasi Robotics provides the Cloud Connect fleet management interface. This cloud-based dashboard serves as a central hub for business intelligence, allowing managers to monitor real-time performance, track ROI progress, and access immutable audit logs. Users can fine-tune their fleet by defining specific "no-go zones," setting localized speed limits, and creating complex, multi-stop routes. This level of oversight ensures that the robotic fleet can be adapted to evolving facility needs without requiring manual intervention on the floor. Sustainability and long-term adaptability are also core components of the Quasi ecosystem. The robots are designed to receive bi-yearly software updates remotely, ensuring that deployed units benefit from the latest navigation and efficiency improvements without needing hardware replacements. Additionally, the company emphasizes environmental responsibility by using reusable shipping containers and sourcing materials responsibly. This software-first approach distinguishes the platform from competitors by prioritizing agility and continuous improvement in diverse industries ranging from manufacturing to genomic research laboratories.
Pros & Cons
Deployment can be completed in approximately 45 minutes without specialized training.
Supports specialized material transport with four distinct robot models tailored for different sizes.
Real-time navigation safely avoids people and unexpected obstacles in busy floor environments.
Cloud Connect provides immutable audit tracking and detailed ROI data analytics.
Remote updates allow for continuous software improvements without physical hardware changes.
Operation is limited to indoor facility environments rather than outdoor or off-road use.
The advanced pick-and-place functionality is currently a long-term goal and not yet integrated.
Specific per-unit pricing and subscription costs are not publicly disclosed and require a quote.
Use Cases
Warehouse managers can automate repetitive point-to-point material flow, allowing staff to focus on complex inventory tasks.
Lab technicians can use the C2 Mini to move sensitive materials through narrow corridors without manual handling or specialized infrastructure.
Healthcare facility leads can monitor robot performance and safety through Cloud Connect to ensure automated deliveries do not disrupt patient care.
Platform
Features
• real-time obstacle avoidance
• multi-stop route creation
• remote software updates
• live performance diagnostics
• one-touch touchscreen dispatch
• self-mapping facility technology
• cloud connect fleet management
• q.ai intelligence navigation
FAQs
How long does it take to set up a robot?
Deployment is designed to be completed in approximately 45 minutes by guiding the robot around to map the facility. No specialized technical training is required to get a unit operational.
What happens if an obstacle blocks the robot's path?
The Q.AI Intelligence software allows the robot to detect people and unexpected obstacles in real time. It automatically calculates a safe path around them or stops to prevent collisions.
How can I manage multiple robots at once?
The Cloud Connect fleet management interface allows users to track performance and optimize workflows for multiple units from any internet-connected device. It includes tools for route optimization.
Are there different models for different load sizes?
Yes, the lineup includes the C2 Mini for tight spaces, the C2 Standard, the C2 Large for expanded capacity, and the PartPorter for sheet materials. Each is specialized for different transport needs.
Can the robots be called from a distance?
Users can utilize the C2 Remote mobile app to call a Model C2 to their location from anywhere in the facility. The app provides one-touch dispatch and live diagnostics for the fleet.
Pricing Plans
Custom Quote
Unknown Price• Full AMR fleet access
• Cloud Connect interface
• Q.AI software updates
• Self-deployment support
• Live performance analytics
• Onboard tablet controls
• Mobile remote calling app
• Obstacle avoidance system
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
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