Best Laptops for Robotics Engineering or ROS Development

Best Laptops for ROS or Robotics Engineering

by Editorial TeamUpdated

If you are looking for the best laptop for robotics, you have come to right website. Even though robotics may not be as mainstream as computer science or data science, it certainly one of the most exciting engineering fields out there. As a matter of fact, many people enter robotics through computer science.

Robotics engineering is an interdisciplinary area of mechanics, electronics, and computer science. Developing robotics software requires knowledge of data structure and algorithms. ROS or Robotic Operation System is a collection of software for robot software development. There are many types of robotics. A good laptop or computer can help us become a better robotics developer. Without further ado, let's dive into lists of best laptops for robotics programming or engineering.

Lists of best laptops for robotics

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  1. Asus ZenBook Pro Duo UX581 Core i9-9980HK, GeoForce RTX 2060

    This premium machine is perfect for robotics engineers because it comes with Intel 9th generation octa-core Processor and up to 5.0 GHz with NVIDIA GeForce RTX 2060. On top of that, it has 1TB PCIe NVMe SSD with 32GB DDR4 RAM. The unique feature of this laptop is the 14inch ScreenPad.

    Highlights

    • Intel Core i9-9980HK Octa-Core Processor (16M Cache, up to 5.0 GHz)
    • NVIDIA GeForce RTX 2060
    • 32GB DDR4 RAM
    • 1TB PCIe NVMe SSD
    • 15.6 inch 4K UHD NanoEdge touchscreen
    • 14-inch touchscreen ScreenPad
    • USB Type C with Thunderbolt, Wi-Fi 6

  2. Dell XPS 17 inch 9700, Core i7 up to 5.1 GHz, Octa-cores

    This laptop is one of the best laptops for robotics programming. The design and fingerprint reader is an excellent addition. RTX voice is great for conference calls. It comes with one headset port. The manufacture offers a year's warranty for our peace of mind.

    Highlights

    • Intel Core i7, 16MB Cache, 5.1 GHz, eight cores
    • 32 GB DDR4, 2x16g system memory upgrade for intense computation power
    • 17 Inch touchscreen InfilityEdge display
    • 1TB PCIe SSD
    • Nvidia GeForce RTX 2060
    • 6GB GDDR6 with Max-Q
    • Wi-Fi 6 and Bluetooth 5.0
    • 4 Thunderbolt ports
    • 6-cell battery

  3. Razer Blade 15, Intel i7, 8 Core, 16 GB RAM

    Razer is known for its gaming laptops. This laptop is powerful enough for robotics programming and gaming. It comes with a lot of different functionality and features. CNC aluminum chroma is a nice touch for any laptop. 4K OLED touch display with 1ms response time is something many professional players admire.

    Highlights

    • Intel Core i7-10875H, 5.1 GHz Turbo boost
    • Octa-core
    • NVIDIA GeForce RTX 2080 Super Max-Q
    • 8 GB GDDr6 VRAM (faster than RTX 20 series)
    • 16GB DDR4 SDRAM
    • 1TB SSD
    • CNC Aluminum Chroma Thin and Compact
    • Thunderbolt 3
    • 4K OLED touch display 1ms response time
    • HDR 400 True Black
    • Wi-Fi 6 AX201
    • Vapor cooling chamber
    • Easily upgradeable
    • Zero Bloatware
    • Creator Ready

  4. Apple MacBook Pro 16 inch Core i7

    MacBook is known for its quality, design, and durability. We added MacBook here because this premium laptop is more than capable of handling the sophisticated system of robotics engineering. Whether you are running AI, complex algorithms, and machine learning frameworks, this MacBook can handle it without any hitch.

    One of the selling points of MacBook is that it is based on the Unix operating system, which shares a lot of similarities with Linux. Moreover, MacOS is less prune virus and malware attacks. So, it is better for security and privacy. If you need Windows for some reason, you have several options, such as Bootcamp, Parallel, VMWare, Wine, and more. On top of that, you ever need to work on iOS software, MacBook is the laptop to go.

    Highlights

    • Ninth-generation Intel Core i7, 6-core
    • Apple T2 Security Chip
    • 16-inch Retina display with True Tone Technology
    • 500 nits of brightness
    • P3 wide color gamut
    • Magic Keyboard with a scissor mechanism
    • Touch Bar and Touch ID
    • AMD Radeon Pro 5300M Graphics with GDDR6 memory
    • 11 Hours of battery
    • Six speakers with force-canceling woofers
    • Four USB C ports

The research focused robotics uses complex algorithms and AI to solve industrial specific tasks. These kinds of robots can solve real-world problems. On the other hand, industrial robotics focuses on solving industry-specific issues. For example, Amazon warehouse uses logistics robots to keep the fulfillment center running smoothly without clutter. They also help by automating shipping and labeling. Now there are several kinds of robotics divisions out there such as research, industrial, consumer, aerospace, drones, medical, military and security, underwater, telepresence, humanoids, exoskeletons, education, and disaster response robotics.

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