Developers and researchers building AI-driven robotic applications often face high entry barriers due to fragmented hardware, proprietary software stacks, and long lead times for custom robot setups. This limits rapid prototyping and experimentation with learning algorithms on physical platforms.

Robot Learning offers an open‑source, all‑in‑one development kit (TRLC‑DK1) for single‑arm robot learning and an advanced bimanual version (TRLC‑DK1‑X). The kits provide a 700 mm reach, 1 kg payload per arm, integrated leader‑follower control, and multiple cameras, all connected via USB‑C and compatible with Linux, macOS, and Windows. By delivering hardware, firmware, and software under an open‑source license, the company enables users to deploy AI‑native robots within 4–6 weeks without custom integration. The modular design supports both single‑arm and dual‑arm configurations, allowing scalable experimentation from simple tasks to complex bimanual manipulation.

700 mm reach with 1 kg payload per arm (dual‑arm kit provides two independent arms)

Leader‑follower control architecture with built‑in coordination logic

Three integrated cameras for vision‑based learning and perception

USB‑C interface for plug‑and‑play connectivity across Linux, macOS, and Windows

Fully open‑source hardware schematics, firmware, and software libraries

Modular kit design enabling easy expansion or replacement of components

Made in Germany with a standard 4–6 week lead time for delivery

Primary customers are robotics researchers, AI developers, and prototype engineers who need a ready‑to‑use, open‑source platform for training and testing learning algorithms on physical robot arms.