MATLAB Robotics and Autonomous Systems: Design, Simulation, and Verification Solutions

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MATLAB Robotics and Autonomous Systems: Design, Simulation, and Verification Solutions

Design, Simulation, and Verification of Autonomous Systems

MATLAB and Simulink provide comprehensive solutions for robotics researchers and engineers to design, simulate, and verify autonomous systems. From perception to motion control, users can model robotic systems with precision, incorporating sensor noise, dynamics, and contact properties. The platform enables the optimization of high-level autonomy and low-level control, offering a library of algorithms for sensor data synthesis and analysis. With the ability to verify designs from simulation to hardware-in-the-loop testing, MATLAB supports the gradual validation of robot designs and algorithms for real-world deployment.

Model-Based Design for Complex Robotic Systems

The use of Model-Based Design and automatic code generation in MATLAB facilitates the management of complex robotic systems. Researchers like Berthold Bäuml from the German Aerospace Center (DLR) attest to the platform's efficacy in handling intricate systems with hard real-time performance requirements, such as Agile Justin's 53 degrees of freedom. By leveraging Model-Based Design, engineering teams can efficiently build controllers for complex robotic systems, overcoming the challenges associated with intricate designs.

Hardware Platform Design and Modeling

MATLAB allows users to create detailed physical or electromechanical models of autonomous vehicles, drones, and manipulators for simulation and optimization. By importing existing 3D models or CAD files, engineers can develop physically accurate models that include dynamics, contacts, and electromechanical components. Through the integration of electrical diagrams, users can establish digital twins of their systems for comprehensive design, optimization, and reinforcement learning of control algorithms.

Sensor Data Processing and Implementation

MATLAB provides robust toolboxes for implementing sensor data processing algorithms essential for robotics applications. With support for ROS, Serial, and other protocols, users can connect to various sensors like cameras, sonar, LiDAR, GPS, and IMUs. The platform automates sensor fusion, filtering, transformation, segmentation, and registration tasks, streamlining the processing of sensor data for accurate perception and decision-making in autonomous systems.

Environment Perception and Algorithm Implementation

Using MATLAB's interactive apps, robotics engineers can deploy algorithms for object detection, tracking, localization, and mapping. The platform facilitates experimentation with neural networks for image classification, regression, and feature detection, automatically converting algorithms into deployable code for hardware acceleration. By supporting C/C++, fixed-point, HDL, and CUDA® code generation, MATLAB enables seamless deployment of algorithms to various hardware platforms for real-time operation.

Path Planning, Control System Design, and Communication Deployment

MATLAB offers a library of path planning algorithms for 2D and 3D navigation, along with tools for designing feedback controllers and optimizing control systems. With Stateflow® for real-time decision-making logic, users can define intricate task planning conditions and actions. The platform also enables the deployment of autonomous algorithms to ROS-based systems, microcontrollers like Arduino® and Raspberry Pi™, and various embedded platforms through protocols like CAN, EtherCAT®, and Bluetooth®.

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Advancing Diversity and Inclusion in Engineering and Science Careers with MathWorks MATLAB

Our Commitment to Diversity, Equity, and Inclusion

At MathWorks, we understand that innovation in engineering and science requires diverse backgrounds and perspectives. We firmly believe that a diverse team can challenge the status quo and achieve better solutions through inclusive and equitable environments. Our DEI initiatives are not just lip service; they are ingrained in our values and culture. Studies show that teams with diverse ways of thinking are not only more creative but also more successful. Jeanne O'Keefe, our CFO and Senior Vice President, emphasizes the importance of every voice being heard and valued in our diverse staff population. We are committed to continuously improving our diversity, equity, and inclusion efforts year after year.

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Exploring Comprehensive Hardware Support with MathWorks MATLAB

Live Data Streaming to and from Hardware

MathWorks MATLAB provides a seamless integration to connect MATLAB and Simulink to hardware, allowing users to directly receive and send real-world inputs and outputs. This feature enables live data streaming, enhancing the ability to interact with external hardware devices in real-time. With examples like Visa Support from Instrument Control Toolbox, users can easily leverage this functionality for various applications such as lab instruments, image and video acquisition, data acquisition systems, and streaming audio with MATLAB and Simulink.

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Empower Your Learning with MATLAB and Simulink Tutorials

Interactive Courses for Beginners

MATLAB and Simulink offer a multitude of interactive courses to help beginners build a strong foundation in these powerful tools. The MATLAB Onramp is designed to quickly teach you the essentials of MATLAB, while the Simulink Onramp focuses on creating, editing, and troubleshooting Simulink models. Additionally, the platform allows you to access self-paced courses, including those provided by your university, giving you a comprehensive learning experience tailored to your needs.

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Revolutionizing Freight Transport with Autonomous Battery-Powered Electric Vehicles on Railroad Tracks

Introduction to the Solution

MathWorks MATLAB has introduced a groundbreaking solution that is set to revolutionize freight transport through the use of autonomous battery-powered electric vehicles on railroad tracks. This innovative technology offers a sustainable and efficient way to move freight, addressing key challenges in the transportation industry.

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Unlocking the Power of MathWorks MATLAB Simulink: A Comprehensive Overview

Introduction to MathWorks MATLAB Simulink

MathWorks MATLAB Simulink is a powerful simulation and model-based design environment for dynamic and embedded systems. With its user-friendly interface, engineers and scientists can efficiently design, simulate, and analyze complex multidomain systems. Simulink allows users to model and simulate dynamic systems, perform data analysis, and develop control systems for various applications such as automotive, aerospace, robotics, and more.

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