RealSense D405 brings industrial-grade vision to Trossen Robotics’ affordable platforms for dexterous manipulation and scalable ML research.
The challenge
Machine learning research, especially in robotics, hinges on one bottleneck: real-world data.
The solution
Trossen Robotics developed the Aloha research platform—an affordable, modular kit featuring dual robotic arms, simulation-ready software, and embedded RealSense cameras.
The results
Trossen Robotics’ RealSense-powered kits are now in active use at Google DeepMind, Stanford University, UC Berkeley, Carnegie Mellon University and more.
Spotlight on Trossen Robotics
Trossen Robotics is a global leader in robotic machine learning research kits. Their modular robotic arms and mobile platforms are used in top research labs including Google DeepMind, Stanford, and UC Berkeley.
Scaling ML Research Through Data and Hardware
Machine learning research, especially in robotics, hinges on one bottleneck: real-world data. Researchers need thousands of hours of consistent, high-fidelity data to train foundational models capable of performing generalized tasks.
Solution:
ALOHA + RealSense D405 for ML at Scale
Trossen Robotics developed the Aloha research platform—an affordable, modular kit featuring dual robotic arms, simulation-ready software, and embedded RealSense cameras. The platform enables researchers to perform and record bimanual manipulation tasks using a leader-follower configuration. These demonstrations become high-quality training data for ML models designed to replicate complex, real-world actions.
RealSense Product Highlights
Product Used: RealSense D405
- Ultra-compact depth camera
- Sub-mm accuracy for close-range manipulation
- Open SDK and ROS-compatible
- Ideal for dual-arm and fixed-mount configurations in robotic research
“RealSense hits the sweet spot: industrial-grade computer vision in a compact, low-cost package. It’s the perfect fit for platforms like Aloha that need to be both research-capable and scalable.”
— Matt Trossen, CEO, Trossen Robotics