SCUTTLE and TI Edge AI Board

Texas Instruments

Together SCUTTLE + Texas Instruments are empowering the curious with the best hardware & software to build the next generation of Autonomous Robotics.

At SCUTTLE Robotics our aim is to lower the barriers to prototyping and learning robotics technology world-wide, and in partnership with Texas Instruments we are delivering on that goal. The SCUTTLE Robot is rooted in our commitment to enable learners, hobbyists, and professionals alike with a durable, extensible, and cost-effective robotic platform.

Together with TI’s Edge AI product line the full potential of Mobile Robotics can be explored and built upon; invigorating the mobile robotics ecosystem.


Learning, experimenting, and prototyping for autonomous robots needs to start from a solid base. TI’s Edge AI product line-up (TDA4VM) provides the processing power needed to get started, but that is only half of the story. A high quality, durable, and extensible robot platform completes the picture, and is a sure-fire way to expedite the process of developing new and exciting autonomous robotics capabilities.

Thats where the SCUTTLE platform comes in, built from the ground up to grow with your ambitions:

  • 40kg Weight Capacity – Far and above comparable prototyping robots.
  • Fully Open-Source Design – All of the models and specifications for building the SCUTTLE robot are available through our website. Our designs and the designs of other members of the SCUTTLE community are yours to modify for your own use case.
  • Built from 100% Commercial Off the Shelf & 3D Printed Components – Take the stress out of maintaining your robot knowing that every piece can be replaced from multiple sources.


Integration of the TDA4VM board on SCUTTLE™ opens the door for deep learning at over 4x the speed (8 TOPS) of our last integrated single board computer (Jetson Nano – 1.8 TOPS). Beyond this major uplift in processing power, you the TI processor gains you more operating time with its exceptional power efficiency.

Integrating the TDA4VM on the SCUTTLE platform opens up a wide range of possibilities previously out of reach:

Computer Vision (CV) Processing of multiple simultaneous video streams from SCUTTLE cameras in real time.

Fusing data streams from Wheel Odometry, Lidar, Inertial Measurement Unit (IMU), and Sonar sensors using pre-built software demos

Supercharging your experimentation with the highest efficiency amongst all AI capable Single Boad Computers in class.

Leveraging the world-class engineering capabilities of TI with free support through TI’s E2E community.

Designing a fully functional mobile manipulator, computing kinematics for an arm and base simultaneously.

TI EdgeAI Board Top Down

How does the TDA4VM Development Board stand apart?

Deep Learning Accelerator

A matrix multiplication accelerator on a programmable DSP enables 4K 8-bit and 2K 16-bit fixed multiply accumulate per cycle and power efficiency (fps/watt) that rivals the best in the industry.

Computer Vision Accelerators

Computationally intensive low-level brute-force pixel processing tasks are offloaded to power-efficient hardware accelerators, enabling smaller system footprints and simplified power designs.

Smart Memory & Bus Architecture

A high-bandwidth bus interconnect with a nonblocking infrastructure and large internal memory reduces DDR instances and increases system throughput and power savings.

Functional Safety & Security

Functional Safety-Compliant processors with integrated MCUs help you achieve certifications up to SIL-3, and integrated security features help you reduce system size and cost.

Ready to Get Started?

  • Get a SCUTTLE Robot & TDA4VM Mounting Bracket:
  • Get the Texas Instruments TDA4VM Evaluation Board:
  • Access the abstracted CAD Model for configuring your payload:
  • See wiring configuration for SCUTTE + TDA4VM in the wiring guide:
  • Gain Direct Access to 40-Pin config, by installing the GPIO Library:
  • Discover the Video Playlist for autonomous vehicles using TDA4VM:
  • See the TDA4VM hardware pinout (start at Table 2-10)
  • Download Image to Flash TDA4VM
  • Get Help