The technology was demonstrated on an ABB collaborative robot during a live showcase at the NewTech Automation & Robotics event held in December. The demonstration illustrated autonomous kitting capabilities without conventional robot programming or point-by-point teaching, highlighting a new approach to deploying collaborative robots in high-mix manufacturing environments.
“Reducing setup time and engineering effort is critical for making kitting automation viable at scale,” said Carlos Benaim, CEO of Deep Learning Robotics. “Our Zero-Teach and Teach-by-Demonstration technologies are designed to allow collaborative robots to be deployed and adapted quickly using vision and learning, rather than manual programming.”
Zero-Teach and Teach-by-Demonstration for Kitting
DLRob’s pre-launch technology introduces two complementary capabilities:
- Zero-Teach: Robots infer kitting tasks autonomously using AI-based visual perception, without explicit programming or predefined object models.
- Teach-by-Demonstration: Operators demonstrate kitting actions, enabling robots to learn workflows directly from human examples.
The solution is intended to support:
- High-mix, low-volume production
- Frequent kit and SKU changes
- Unstructured bins and trays
- Variability in part orientation and placement
DLRob’s robot-agnostic software platform is protected by a portfolio of granted patents across the United States and Europe.
Pre-Launch Phase
Following the NewTech demonstration, DLRob is entering a pre-launch phase, working with selected industrial partners to pilot kitting applications ahead of general commercial availability.
About Deep Learning Robotics (DLRob)
Deep Learning Robotics develops robotic control software that combines AI vision, autonomous decision-making, and learning from human demonstration. DLRob’s technology enables collaborative and industrial robots to perform complex manipulation tasks with minimal setup, supporting flexible automation in manufacturing and logistics.
www.DLRob.com
Press Release Distributed by PRLog
Source: Deep Learning Robotics Ltd (DLRob)
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