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What is Intrinsic Core?

Intrinsic Core serves as an open-source robotics platform aimed at simplifying and expediting the entire process of developing and deploying robotics applications, from the initial idea to the final execution. It provides a comprehensive array of pre-configured functionalities tailored for critical robotics tasks, including sensor-driven control, perception, motion planning, grasp planning, and simulation, thus freeing developers from the burden of constructing an extensive stack from scratch. The platform boasts a fully-equipped software environment that seamlessly integrates a range of services and capabilities, such as simulation tools, a digital twin, and a hardware-agnostic real-time control framework, which allows for complex integrations to take place. Designed to work harmoniously with ROS and the Open Robotics Suite, Intrinsic Core combines standard workspaces, message definitions, Gazebo simulation, and easily accessible ROS-compatible services. Among its impressive features are accurate detection of 3D object poses utilizing NVIDIA FoundationPose, force-controlled manipulation driven by real sensor data, and the automated planning of collision-free trajectories, alongside a plethora of other sophisticated functionalities. This collection of tools and capabilities not only enhances developer efficiency but also fosters a culture of rapid innovation in the robotics field. As technology continues to evolve, such platforms are pivotal in shaping the future landscape of robotics development.

What is Deepen?

Deepen AI offers state-of-the-art solutions for labeling and calibrating multi-sensor data, specifically designed to improve the training workflows in computer vision for sectors like autonomous vehicles and robotics. Their comprehensive annotation suite caters to a variety of essential applications, incorporating features such as 2D and 3D bounding boxes, semantic and instance segmentation, polylines, and key points. Utilizing advanced artificial intelligence, the platform includes pre-labeling capabilities that can automatically identify up to 80 frequently utilized classes, enhancing productivity by a factor of seven. Moreover, it features machine learning-supported segmentation that allows users to easily segment objects with just a few clicks, along with accurate object detection and tracking that reduces redundancy and saves valuable time. Additionally, Deepen AI’s calibration suite is compatible with all key sensor types, including LiDAR, cameras, radar, IMUs, and various vehicle sensors. These advanced tools not only enable efficient visualization and inspection of multi-sensor data integrity but also allow for the quick computation of intrinsic and extrinsic calibration parameters in seconds. By optimizing these processes, Deepen AI empowers developers to dedicate more time to innovation while minimizing the burden of manual data management. This ultimately leads to improved outcomes in technology-driven projects across multiple domains.

Media

Media

Integrations Supported

FANUC FIELD System
NVIDIA DRIVE

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Intrinsic

Date Founded

2021

Company Location

United States

Company Website

www.intrinsic.ai/intrinsic-core

Company Facts

Organization Name

Deepen

Date Founded

2017

Company Location

United States

Company Website

www.deepen.ai/

Categories and Features

Categories and Features

Data Annotation

Not specified

Data Labeling

Not specified

Image Annotation

Not specified

Video Annotation

Not specified

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