ABOUT US
Deepsense Robotics is developing the next generation of machine vision and visually guided robots for the waste management and recycling sector.
Recycling Automation
The world desperately needs far more capable machine vision and robotics solutions for the automated sorting of recyclable materials such as paper, cardboard, metal cans and plastic.
Debris Management
Similar challenges exist in processing construction & demolition waste.
Electronic Disassembly
The task of disassembling and recycling escalating amounts of electronic waste, including refrigerators, laptops, and mobile phones, poses an even larger challenge.
Deepsense Robotics aims to rise to this global challenge by developing the most advanced machine vision and visually guided robots for automating a broad range of tasks within the waste management and recycling sector.
FOCUS ON TECHNOLOGY
To tackle the hardest challenges in waste management and recycling, Deepsense Robotics is bringing together a range of complementary state-of-the-art simulation and machine learning technologies including:
Neural Robotics
Machine vision and visually guided robot control systems that achieve robust performance by exploiting neural mechanisms that are thought to operate in the brain.
3D Simulation Training
Photorealistic 3D robot simulation environments, such as NVIDIA Isaac Sim, to train visually guided robots to carry out more complex recycling tasks such as sorting.
DRL Efficiency
Deep reinforcement learning (DRL) neural networks to train robots to carry out manipulation tasks such as sorting densely packed waste streams more efficiently.
Generative AI Modeling
Generative AI to create large libraries of 3D digital models of recyclable items that will be used to enhance training of the machine vision and visually guided robot control systems.
CONTACT
If you are interested in hearing more about our machine vision systems and visually guided robots for the waste management and recycling sector, please contact us: