CTO & Co-Founder Pradyot Korupolu of leading autonomous delivery robotics company, Ottonomy.IO, will be presenting at the NVIDIA GTC 2022 virtual conference. In his session he will discuss autonomous navigation solutions in the event’s “Automotive transportation-autonomous robotics” Industry segment, focusing on moving towards high information navigation maps.

The consumer facing retail and restaurant industry has seen a huge surge in robots operating in everyday, regular human environments (both indoors and outdoors). Ottonomy.IO has deployed robots in multiple consumer environments including airports, retail spaces and campuses.

“With a strong track record in autonomous driving technologies, our team has been able to translate principles of vehicle autonomy to near-term practical use cases for consumer environments,” says Pradyot. “Leveraging high information maps as an input to our contextual navigation engine, Ottonomy.IO has the most robust navigation suite running in live conditions for both indoor and outdoor navigation for restaurants, retail spaces and airports.”

While new use cases are on the rise, data sets are still limited. Pradyot will discuss fusion tools and techniques that Ottonomy.IO’s delivery robots use to bridge this gap, while operating safely and efficiently in crowded and complicated environments. The presentation at the conference will be in the Automotive Transportation-Autonomous Robotics track of NVidia’s 2022 conference addressing “efficient camera and lidar fusion” as a way to get high-Information navigation maps.

These high information maps achieve several objectives:

• Thin layer of condensed information maps useful for intelligent navigation.
• Optimized for edge hardware running the mapping and localization pipelines.
• Real-time fusion of multimodal sensors, specifically 3D lidars and RGB cameras.
• Navigation maps that combine both metric and semantic distance.
• information of the environment as an input to Ottonomy’s Contextual Navigation.

You can view Ottonomy.IO’s presentation at NVidia GTC 2022 on Wednesday, March 23, 2022 at 10:00a.m. EST. To gain access to the session, register for NVIDIA GTC conference here.

 

Algonomy, a leader in algorithmic decisioning, will showcase its expanded platform that features new and advanced uses of AI that enable real-time customer engagement during the National Retail Federation’s Annual Convention and Trade Show at the Jacob K. Javits Center from Jan. 16-18, 2022.

Working with some of the world’s largest brands such as eBay, McDonald’s, Price Chopper, Tiffany & Co., Pizza Hut, Domino’s, HP and Boots, Algonomy leads the industry when it comes to creating a data-centric single view of today’s digitally native consumer, and decisioning intelligence to drive hyper-personalized engagement.

The retail technology solution partner will have several demonstrations for marketing, commerce and merchandising leaders available in its booth (#6403) throughout the three-day exhibition, including:

Social Proof Messaging

One of the main highlights of the company’s latest release is Social Proofing, technology that gives retailers the ability to build credibility and aid consumer decisions using social approval. Social Proofing offers a way to create trust, urgency and reliability during the shopping journey and is algorithmically optimized in real-time to provide shoppers critical information on trending products through views, purchases, inventory levels and more. The product is enterprise grade and self-serve for marketers.

Visual AI Deep Recommendations

Visual AI helps companies replicate in-store personal shopping experiences on digital commerce properties, and uses deep learning to help online shoppers find products that resemble what they like and also get complete-the-look recommendations. Using product images that do not require historical events and behavioral data to generate relevant product recommendations, Visual AI is unlike traditional recommender engines.

Real-Time Customer Data Platform

The CDP is the foundation of the company’s Algorithmic Decisioning Platform, enabling intelligence-infused decisions by integrating demand and supply to create granular customer segments. In addition to identity resolution and built-in customer analytics, this enhanced version comes with real-time capabilities such as data ingestion, profile updates, audience discovery, decisioning intelligence, and audience activation.

Algorithmic Catalog Enrichment

This new capability will help e-commerce retailers create rich high-quality product catalogs, thereby helping shoppers select products that meet their nuanced requirements. Algorithmic Catalog Enrichment also uses deep learning and image-based feature extraction techniques to automatically identify product attributes and metadata from descriptions and images. In addition to reducing the burden of manually updating product attributes, a well-developed catalog improves product discovery and search results, and eases shopper decision-making, leading to higher conversions and reduced instances of product returns.