Vention Debuts AI Bin-Picking Technology at NVIDIA GTC

Mar 20, 2025
Vention has introduced its AI-powered bin-picking technology at NVIDIA GTC 2025, showcasing a robot's ability to autonomously organize parts using AI models from NVIDIA.

Vention has unveiled its AI-powered bin-picking technology at the NVIDIA GTC 2025 conference, announced in a press release. This innovation allows robots to autonomously detect, select, pick up, and organize parts from unstructured bins, significantly reducing the cost and complexity of traditional custom solutions.

The demonstration at the conference features an ABB GoFa™ robot equipped with a vision system and finger grippers, operating within a Vention work cell. The robot uses a simple CAD file upload to understand and organize parts with precision, powered by Vention's MachineMotion AI controller and NVIDIA's Jetson AI processor.

Vention's solution leverages NVIDIA's foundational models and AI-ready hardware to streamline the bin-picking process, making it more accessible and affordable for manufacturers. The company plans to commercialize this technology later in the year, aiming to address the global demand for automation solutions amid labor shortages.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.

Also, consider following us on social media:

AI & Robotics AI Brief AI Brief (X)
Free newsletter

Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.