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Tilburg Robotics

Tilburg Robotics offers the Tilburg Hand, a low‑cost, fully assembled 5‑finger robotic hand designed for deep reinforcement learning research. Priced at €5,000 for a single hand and €9,500 for a left‑right pair, it includes open‑source software, CAD files, and a simple USB interface, enabling academic labs and small companies to quickly integrate dexterous manipulation capabilities without the expense and complexity of higher‑end platforms.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Research groups and small companies often lack affordable, ready-to-use robotic hands for deep reinforcement learning (DRL) experiments, as existing platforms like the Shadow or Allegro hands are prohibitively expensive and require complex integration.

Solution

The Tilburg Hand provides a low‑cost, fully assembled robotic hand designed specifically for DRL research. Priced at €5,000 (including EU VAT) for a single hand and €9,500 for a left‑right pair, it lowers the financial barrier for labs and startups. The hardware is complemented by open‑source software libraries, demos, and documentation hosted on GitHub, enabling rapid control via a simple USB interface. Open‑source BOM, electronics schematics, and CAD files are released, allowing users to modify the design for custom wrist mounts, fingertip shapes, or sensor integration. Early adopters can receive a 10 % discount in exchange for feedback, supporting continuous improvement of both hardware and software.

Target Audience

Primary customers are academic robotics labs, research institutes, and small technology companies developing dexterous manipulation using deep reinforcement learning.

Features

  • Fully assembled 5‑finger robotic hand with tested actuation, ready for immediate use
  • Simple USB communication interface, eliminating the need for CAN bus hardware
  • Open‑source Python control library with ready‑to‑run DRL demonstration scripts
  • Comprehensive GitHub repository containing code, CAD models, BOM, and documentation
  • Modular design permitting easy integration of custom wrist adapters, touch sensors, or fingertip geometry changes
  • Discounted pricing for paired left‑right hands and optional 10 % feedback discount
This profile is AI-generated and may contain inaccuracies.