Trending...
- KeysCaribbean Offers 'Skip-the-Crowds' Savings With 15 Percent Off April Stays
- Red5 Taps PubNub to Power the Next Era of Real-Time Interactive Streaming
- NEW MANAGEMENT BOOK: Creating a Joy-Centric Culture
Technology demonstrated at ABB's booth in NewTech Automation & Robotics event
CAESAREA, Israel - ColoradoDesk -- 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 Colorado Desk
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
More on Colorado Desk
- LiposoMore™ Redefines Bioavailability: Joyful Nutritional Launches High-Performance Liposomal Vitamin C and Iron for the Global Supplement Market
- GDE Tree Services Expands Operations into Sydney, NSW
- Tuckwell Machinery Expands CNC Range to Support Australian Cabinet Makers
- The Inner Power of Emotional Self-Leadership
- Dr. Nadene Rose Shares the Secret to True Success: Faith, Obedience, and Divine Purpose
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)
0 Comments
Latest on Colorado Desk
- Colorado: Governor Polis Celebrates Overall Population Increase, Population Increased in Counties with Most Housing Construction
- Award-Winning REALTOR® Paige Coker Joins Corcoran DeRonja Real Estate
- Denver's Largest Neurodiversity Fair Names National Medical Supply as Visionary Sponsor
- Over 98% of crypto owners globally don't declare taxes, new report find
- TicTac Group acquires French EdTech company Distrisoft
- Colorado: What Local, Community, and Housing Leaders Are Saying About Governor Polis and the Legislature Taking Action to Build More Housing
- Colorado: Governor Polis Signs Laws Breaking Down Barriers to New Homes Coloradans Can Afford
- Mark Dobosz Makes Donorassess.org Free To Every Nonprofit On The Planet
- Genpak Announces Closure of Utah Manufacturing Facility
- Governor Polis Announces Colorado Accepted into World Health Organization's Global Outbreak Network
- Newborn Care Network Introduces Clinical Standard to Bridge the Six-Week Postpartum Gap
- The AAA Metamorphosis: How Global Gaming Is Redefining Production Standards
- Monexplora Explains the Options Mechanics Behind March's Tech Selloff and VIX Surge
- Colorado Springs: Ramona Avenue at South Nevada Avenue closing Monday through Wednesday
- Colorado: Governor Polis Celebrates Agriculture Day, Signs New Laws Strengthening Agricultural Support
- Larry R. Wasion Highlights Jump Gate I: Time Chair. The Opening Novel in His Expansive Science Fiction Series
- New Book Reveals The Science Of Predictions
- Mysterious Box Discovered at State Capitol Opened by History Colorado, Governor Polis on Live TV
- Compliance Alert: Maryland, Texas Regulate Use of Artificial Intelligence in Utilization Reviews
- Colorado: Watch: Coloradans Share Their Favorite Train Names
