The "DIABLO" by Direct Drive Tech is an impressive, flexible two-wheeled robot that also functions as an open development platform. This open development ecology provides perfect interfaces for various applications, enabling versatile use.
Flexibility:
The DIABLO robot is capable of self-balancing and can achieve a controlled tilt angle of up to 37 degrees. This high flexibility allows the robot to move safely in different environments and on various surfaces.
Rough Road Adaptation: Thanks to Direct Drive leg impedance control, the robot can absorb up to 60% of impact force, allowing it to adapt to uneven roads and terrains. This contributes to the robot's safety and stability.
Jump Capability:
The robot boasts an impressive jumping ability with a peak joint torque of up to 17 Nm. This allows it to perform powerful and dynamic movements, particularly beneficial in scenarios with rapid changes in direction or obstacle overcoming.
Stability:
Equipped with a 16-bit high-precision joint encoder and accuracy up to 0.01 degrees, the DIABLO offers exceptional stability and precision in its movements. This high accuracy enables the robot to perform precise tasks.
Composite Motion:
The DIABLO robot features multiple control interfaces and supports secondary development. This means developers can create their own controls and applications for the robot to fulfill specific tasks.
Drive and Motors:
The robot is powered by 6 M1502A Direct Drive robot joints that enable easy and free movement. This leads to a significant performance enhancement. Of these, 4 are M15 Series Direct Drive motors, and 2 are M15 Series In-Wheel motors, collectively providing the driving force for the robot.
The DIABLO robot by Direct Drive Tech combines impressive flexibility, stability, and jumping capability, making it a versatile platform for a wide range of applications. Its advanced features and powerful motors allow developers to create innovative solutions and adapt the robot to various use cases.
Package Contents:
- 1x Direct Drive Tech DIABLO with Raspberry Pi kit
