Robot Deployment Toolbox

Accelerate Robot Deployment

Robot Deployment Toolbox™  helps robot vendors, system integrators and robotics researchers quickly deploy their robots for different applications. The toolbox comes with four main tools, the Real-Time Integrated Physical Simulator, a low-level real-time control board, a universal middleware SDK, and different utilities. Users can capitalize on these tools to accomplish a wide range of purposes.

With the Robot Deployment Toolbox,  you can design and simulate safety-critical robotics algorithms such as collision avoidance using the Real-Time Integrated Physical Simulator and perform software in the loop and processor in the loop validation. You can further deploy the above safety-critical robotics algorithms  directly into the provided low-level control board running real-time operating system. This allows you to ensure the safety of the robot even when the upper-level navigation computer fails. The control board is also compatible with commonly used peripherals.

You can Interface between a wide range of robots and navigation stacks with our universal middleware SDK. The SDK comes with unified control interfaces for different mobile robot bases. For navigation integration, the SDK supports popular robotics middleware such as DDS, ROS 1, ROS 2, LCM and MATLAB®.

You can conduct monitoring, diagnosis, recovery and smart maintenance of robots with the various utilities provided by the toolbox. In addition, the Robot Deployment Toolbox works seamlessly with the Robot Assisted Driving Toolbox™ for easy remote steering.

 

Key Features:

  1. Real-Time Integrated Physical Simulator for Verification and Validation
  2. Universal Middleware SDK for Navigation and Application Integration
  3. Real-Time Low-Level Control Board for Robot and Human Safety
  4. Intelligent Monitoring, Diagnosis, and Recovery of Robots
  5. Seamless Integration with Robot Assisted Driving ToolboxTM
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Real-Time Integrated Physical Simulator for Verification and Validation

  • Separate I/O handling and control enabling agile device driver and control algorithm development
  • Support software in the loop (SIL) and processor in the loop (PIL) simulation, implementation, and V&V 
  • Support transition between PIL and soft-hardware in the loop (s-HIL) with Gazebo/Webots
  • Support soft real-time sensor simulation for safety-critical algorithm development on desktop such as:
    • Lidar
    • Ultrasonic
    • ToF
    • Bumper
    • UWB
  • Support Model-Based Design (MBD) workflow using MATLAB and Simulink with Embedded Coder
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Real-Time Low-Level Control Board for Robot and Human Safety Even Navigation Computer Fails

  • Real-time collision avoidance control logic embedded in low-level controller with RTOS
  • Plug-and-play for commonly used peripherals with extensive interfaces for most robots
    • PWM control port
    • Isolated GPIO
    • RS232, RS485, and TTL
    • CAN
    • I2C
    • SPI
    • ADC
    • DAC
    • SBUS
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Universal Middleware SDK for Navigation Integration

  • Integrate unified control interfaces for different mobile robot bases including
    • Skid Drive (scout and scout mini)
    • Differential Drive (tracer, bunker)
    • Ackermann Drive (Hunter)
    • Swerve Drive (Ranger Mini)
    • Omni Drive (in pipeline)
    • Quadruped and Bipedal robots
    • On-Water Robot (in pipeline)
  • Support popular robotics middleware enabling quick navigation integration
    • DDS
    • ROS 1
    • ROS 2
    • LCM
    • MATLAB
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Intelligent Monitoring, Diagnosis, and Recovery of a Robot Base

  • Terminal-based UI monitoring and diagnosis of robot’s healthy state
  • Smart robot state recovery with reconfigurable state chart
  • Predictive maintenance of key robot components (in the pipeline)
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Seamless Integration with Robot Assisted Driving Toolbox

  • Enable plug-and-play for robot remote steering and monitoring
  • Stream safety-critical sensor data to assist robot drivers
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