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Deep Learning Robotics (DLRob) Announces Pre-Launch of Zero-Teach and Teach-by-Demonstration Technology for Kitting Applications
Rezul News/10727448
Technology demonstrated at ABB's booth in NewTech Automation & Robotics event
CAESAREA, Israel - Rezul -- Deep Learning Robotics (DLRob), a developer of vision-based robotic autonomy software, today announced the pre-launch of its Zero-Teach and Teach-by-Demonstration technologies for industrial kitting applications.
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
More on Rezul News
DLRob's pre-launch technology introduces two complementary capabilities:
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
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
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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.
- High-mix, low-volume production
- Frequent kit and SKU changes
- Unstructured bins and trays
- Variability in part orientation and placement
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
Source: Deep Learning Robotics Ltd (DLRob)
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