<![CDATA[Pressat Main Newswire]]> https://pressat.co.uk/rss/ <![CDATA[Pressat Main Newswire]]> https://pressat.co.uk/media/site/logo.png https://pressat.co.uk/rss/ en-gb Copyright: (C) Pressat Pressat <![CDATA[ Get a sneak-peek of the future with SLAMcore Labs ]]> https://pressat.co.uk/releases/get-a-sneak-peek-of-the-future-with-slamcore-labs-a0e5da85c77844a7cb3316018dd379c4/ https://pressat.co.uk/releases/get-a-sneak-peek-of-the-future-with-slamcore-labs-a0e5da85c77844a7cb3316018dd379c4/ Tuesday 6 July, 2021

London, 6th July 2021. SLAMcore today announced SLAMcore Labs, an interactive showcase that allows robot developers to test cutting-edge visual SLAM capabilities with their own datasets.


SLAMcore’s Spatial Intelligence SDK which launched earlier this year allows robot developers to quickly and easily add location and mapping functions to their designs. Downloadable and implemented with a few clicks, the SDK provides robust location and 2.5D maps for any robot using Intel® RealSense™ Depth Cameras. Designers can quickly move concepts from the lab to the real world with successful SLAM that can cope with a wide range of environments.


Now SLAMcore Labs gives developers a sneak peek of next generation features including depth completion, 3D mapping and semantic labelling. SLAMcore Labs is currently showcasing the following next generation capabilities.


AI Enhanced Depth Maps


Using a dedicated neural network running on a GPU at the edge, SLAMcore’s algorithms combine the raw infrared images, depth map and IMU data from Intel® RealSense™ depth cameras to provide a more accurate and smoother disparity or depth map.


Intelligent Position


By placing a neural network in front of raw sparse map point-clouds, SLAMcore can create better, faster and more resource efficient position estimations. The AI selectively chooses which features are best for positioning. SLAMcore SDK customers can send their own data which we will process in SLAMcore Labs and return a sparse map with specific objects labelled or removed.


3D RGB Rendered Maps


Customers can already build cm-accurate 2.5D maps using the SLAMcore SDK. These add height to ‘flat’ 2D maps. Now, using the same data, SLAMcore Labs will create full 3D maps with RGB rendering. Customers uploading data from the SDK will receive a machine-readable mesh file that can be implemented on their platform.


Semantic 3D Mapping


SLAMcore Labs has the capability to identify and label all the different things in a map. Using semantic recognition algorithms an entire map can be colour coded to identify the different surfaces and objects in the map.


Semantic 3D Mapping with Instance Segmentation


Once maps have been semantically labelled, this next generation feature counts individual instances of each semantic object. So rather than knowing that the map has ‘chairs’ in it, it can define 3 chairs and treat them as individual objects. This level of sophistication has many real-world benefits as our visual inertial SLAM system passes individual objects to other parts of the control stack where they can support wide ranging functions.


Customers can test all these emerging solutions with their own data. From the SLAMcore Labs page they simply upload data sets and specify which features they want to explore. Our engineers will then apply these algorithms to their data and send back either mesh maps or dedicated videos showing the resulting 3D maps of their data.


New capabilities are being added all the time as SLAMcore engineers innovate and expand the power of the SLAMcore algorithms Those wanting to embark on more complex demonstrations or dedicated projects that leverage these innovations should get in touch via the SLAMcore Labs page.


Announcing the Labs, SLAMcore Founder and CEO, Owen Nicholson said; “At SLAMcore we are focused on democratizing access to fast, accurate and robust SLAM that is viable at commercial scope and scale. Our SDK provides an effective solution for many as they make the journey from lab to real-world deployment. But there are many other aspects and opportunities for Spatial Intelligence to add value to robots. SLAMcore Labs provides a new route to explore emerging possibilities and to experiment with leading-edge features.”


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About SLAMcore


SLAMcore’s mission is to deliver commercial Spatial Intelligence software, which is highly accurate and computationally efficient to robot, consumer electronics and device manufacturers worldwide. Robots and smart products need to efficiently locate themselves, map and understand their surroundings in real-time. Simultaneous localization and mapping (SLAM) remains one of the hardest development challenges for robot and product developers, consuming significant time, resources and hardware. SLAMcore’s visual inertial SLAM uses world-class software, running in real-time, on cost-effective hardware to deliver robust real-world performance. SLAMcore commercial-scale software can be optimized for a wide range of sensors and compute, letting developers concentrate on developing great products rather than struggling to solve real-time mapping and localization challenges.




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Ben Maynard
Story and Strategy Ltd
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https://www.slamcore.com/ 06 Jul 2021 11:58:16 GMT Business & Finance Computing & Telecoms Consumer Technology Manufacturing, Engineering & Energy Transport & Logistics
<![CDATA[ SLAMcore offers ‘out-of-the-box’ dense 2.5D mapping for fast, accurate robot navigation ]]> https://pressat.co.uk/releases/slamcore-offers-out-of-the-box-dense-25d-mapping-for-fast-accurate-robot-navigation-ea0beee8c933dac5dc204e479693effe/ https://pressat.co.uk/releases/slamcore-offers-out-of-the-box-dense-25d-mapping-for-fast-accurate-robot-navigation-ea0beee8c933dac5dc204e479693effe/ Thursday 25 February, 2021
Latest SLAMcore software integrates with the Intel® RealSense™ Depth Camera range to create real-time maps of occupied space for safe robot navigation

London. 25 February 2021. SLAMcore, a leader in Spatial Intelligence for autonomous robot location and mapping, has added new dense 2.5D mapping capabilities to its latest software release, which is available now. Robots require maps of their surroundings and the objects within it to navigate effectively - these maps can include point clouds, 2D flat maps, 2.5D dense maps (with heights), 3D maps and semantic maps which identify objects (people/tables/chairs/windows etc). One of the main challenges of robot mapping is that it requires significant compute power, processing time and memory to create maps (especially 2.5D and 3D). Most Robotic systems today use only flat 2D distance maps to run efficiently in real-time.


SLAMcore’s software uses stereo cameras and inertial sensors to build 2.5D height maps in real-time. The occupied space is represented as a series of columns of different heights which show what space is filled. Using these rich 2.5D maps, robots and autonomous devices know where objects are and can safely plot routes through real-world environments.


Crucially for developers, SLAMcore algorithms create dense 2.5D maps using very little compute or memory and are able to scale to large real-world environments in real-time. Robot designers can download the SLAMcore software and begin creating dense maps in a few minutes. Whether it is a living-room, office, hospital or warehouse, these maps require only tens of megabytes of storage.


Commenting on the new software, Joel Hagberg, head of product management and marketing at Intel RealSense Group said: “SLAMcore leverages Intel® RealSense™ depth cameras to deliver robust, accurate and real-time location and mapping in a computationally efficient manner. Intel® RealSense™ technology is used to develop products that enrich people's lives by enabling machines and devices to perceive the world in 3D. We are excited to be a part of SLAMcore’s easy-to-use, fast to deploy, and cost-effective solution.”


SLAMcore software is designed to run fast prototypes out-of-the box with Intel® RealSense™ depth cameras (D435i or D455) and is optimized for x86 and Nvidia Jetson processors. The software can be further customized for production systems to run on a wide range of cost-effective hardware from Raspberry Pi to GPU based systems. SLAMcore software fuses visual, inertial (IMU) and depth sensor feeds for high levels of accuracy, speed and efficiency.


The foundation of vision based Simultaneous Localization and Mapping (SLAM) systems are sparse point-cloud maps for positioning and location – which allow a robot to know where it is as it moves through space. By adding richer 2.5D maps, SLAMcore provides developers with better data for real-time navigation and perception out-of-the-box. Previously, developers wishing to create this level of mapping would have to spend months of development time building bespoke systems and coding their own SLAM algorithms. Not only does SLAMcore’s solution use cost-effective depth cameras to create 2.5D maps out-of-the-box, but also delivers richer navigation options than more expensive LIDAR sensors which provide only 2D positioning and mapping data.


Owen Nicholson, founder and CEO of SLAMcore, commented: “Sparse maps are essential to position and locate robots, but provide little additional information. Using visual inertial SLAM to create richer 2.5D maps lets software developers build much better navigation systems without investing huge amounts of time and resource on creating custom sensor and SLAM code. Our software, tuned to work perfectly with the leading sensors and processors, immediately delivers SLAM capabilities for a vast range of robot designs and consumer products - letting developers focus on the main function of their robot solutions.”


Detailed video demonstrations of SLAMcore’s 2.5D mapping capabilities can be seen here. Looking beyond the standard features of the SLAMcore prototype software - SLAMcore also works with businesses to generate advanced 3D and semantic mapping options for large commercial products. For further information and access to the latest software please visit slamcore.com.




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Story and Strategy Ltd
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+44 (0)7968 537982

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https://www.slamcore.com/ 25 Feb 2021 12:18:30 GMT Business & Finance Computing & Telecoms Consumer Technology Manufacturing, Engineering & Energy Media & Marketing Transport & Logistics
<![CDATA[ SLAMcore Joins NVIDIA Partner Network to Provide Accelerated SLAM Solutions for Robotics Applications Powered by the Jetson Edge AI Platform ]]> https://pressat.co.uk/releases/slamcore-joins-nvidia-partner-network-to-provide-accelerated-slam-solutions-for-robotics-applications-powered-by-the-jetson-edge-ai-platform-4fa172dea6be8b4543fb0c7166adbbe4/ https://pressat.co.uk/releases/slamcore-joins-nvidia-partner-network-to-provide-accelerated-slam-solutions-for-robotics-applications-powered-by-the-jetson-edge-ai-platform-4fa172dea6be8b4543fb0c7166adbbe4/ Thursday 3 December, 2020

First ‘Out-of-the-box’ Simultaneous Localization and Mapping Solution for NVIDIA Jetson Xavier NX


London. 3rd December 2020. SLAMcore, a leader in Spatial Intelligence for autonomous location and mapping, has joined the NVIDIA Partner Network, a program that guides developers, engineers and innovators to products and services accredited to work with NVIDIA products, including the NVIDIA® Jetson™ platform. For developers and product designers struggling to solve the complex challenges of SLAM (Simultaneous Localization and Mapping) in autonomous mobile robots and machines, the availability of SLAMcore’s highly accurate and robust Spatial Intelligence algorithms on Jetson enables a simple, reliable and cost-effective way to access SLAM solutions.


SLAMcore offers NVIDIA customers the first ‘out-of-the-box’ SLAM solution for the NVIDIA Jetson Xavier NX. Rather than spending months of development time adapting open-source solutions or attempting to build SLAM software in-house, customers can now download and run the SLAMcore Spatial Intelligence software on the Jetson Xavier NX to use advanced SLAM capabilities within minutes.


SLAMcore’s software provides advanced location, mapping and perception capabilities for use in robots, consumer electronics, and other devices. Jetson Xavier NX is the first Embedded Edge Arm-based architecture to be supported ‘out of the box’ by SLAMcore and joins a hardware portfolio of carefully selected solutions optimized to use the SLAMcore software. SLAMcore plans to offer accelerated SLAM on the full Jetson family of products.


NVIDIA’s Jetson Xavier NX is designed specifically for autonomous machines. With a form-factor smaller than a credit card, it uses just 10 watts of power but is powerful enough to run parallel neural networks and process data from multiple high-resolution sensors in real time. As such it can easily support SLAMcore’s computationally efficient SLAM algorithms alongside other processes needed by the robot or device.


Owen Nicholson, CEO at SLAMcore, commented; “The NVIDIA Jetson family is one of the most powerful and versatile embedded solutions for robotics, so joining their partner network is a significant milestone for us. We are now able to reach the many customers using the Jetson range of embedded processors, and NVIDIA customers now have instant access to advanced SLAM capabilities for their chosen module. SLAM is a complex and significant hurdle for any developer looking to create autonomous robots or consumer electronics products for real-world scenarios. Using the Jetson Xavier NX and the SLAMcore Spatial Intelligence software is a fast and cost-effective solution for these challenges.”


“SLAMcore’s ability to offer turn-key solutions for the Jetson edge AI platform gives developers of robotics and industrial applications immediate access to accelerated and advanced location and mapping capabilities that will accelerate development and deployment of new commercial products,” said Murali Gopalakrishna, Head of Product Management, Autonomous Machines and General Manager for Robotics at NVIDIA.


NVIDIA Jetson is the leading AI-at-the-edge computing platform with over half a million developers. With support for cloud-native technologies now available across the full Jetson lineup, manufacturers of intelligent machines and AI developers can build, deploy and manage high-quality, software-defined features on embedded and edge devices targeting robotics, AIoT, smart cities, healthcare, industrial applications and more. Cloud-native support helps manufacturers and developers implement frequent improvements, improve accuracy, and use the latest features with Jetson-based edge AI devices.

About SLAMcore


SLAMcore’s mission is to deliver commercial Spatial Intelligence software, which is highly accurate and computationally efficient to robot, consumer electronics and device manufacturers worldwide. Robots and smart products need to efficiently locate themselves, map and understand their surroundings in real-time. Simultaneous localization and mapping (SLAM) remains one of the hardest development challenges for robot and product developers, consuming significant time, resources and hardware. SLAMcore’s visual inertial SLAM uses world-class software, running in real-time, on cost-effective hardware to deliver robust real-world performance. SLAMcore commercial-scale software can be optimized for a wide range of sensors and compute, so developers can concentrate on developing products rather than struggling to solve simultaneous mapping and localization challenges.


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+44 (0)7968 537982

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https://www.slamcore.com/ 03 Dec 2020 16:05:01 GMT Business & Finance Computing & Telecoms Consumer Technology Manufacturing, Engineering & Energy
<![CDATA[ SLAMcore Joins Arm AI Partner Programme ]]> https://pressat.co.uk/releases/slamcore-joins-arm-ai-partner-programme-feac5f06ff703433d1bdaf7ed7eca568/ https://pressat.co.uk/releases/slamcore-joins-arm-ai-partner-programme-feac5f06ff703433d1bdaf7ed7eca568/ Tuesday 15 September, 2020

UK AI pioneer demonstrates ‘Full-Stack’ SLAM on Arm-based processors at Embedded Vision Summit


London, UK. 15th
September 2020. SLAMcore, a leader in Visual SLAM and Spatial AI systems essential for autonomous robot navigation, today announced that it has joined the Arm AI Partner Programme. As a key player behind the explosion in on-device AI, Arm plays a crucial role in the development of capable, commercially viable robots as solutions to many of today’s challenges. Working as part of the Arm® ecosystem will further accelerate development and use of SLAMcore’s Spatial AI algorithms across this exciting growth market.


Simultaneous Localization and Mapping (SLAM) is both essential for autonomous mobile robots and extremely difficult to get right. It is a computationally challenging workload that not only needs to be well-designed but optimized to the specific on-board processors used by each robot. Arm-based System-on-Chip (SoC) architectures dominate the embedded processor market and are increasingly the first choice for robotics firms due to their high-performance, low-energy use, and compact form factors. The success of Arm designs also provides robot developers with a wide choice of vendors.


Few robot developers have the specialist SLAM expertise, or the time and resources needed, to develop bespoke SLAM solutions for every robot and combination of processors and sensors they require. By supporting and optimizing for Arm architectures, SLAMcore ensures developers can easily integrate SLAMcore algorithms perfectly matched to the embedded processors they select, achieving lower costs and faster time to market.


SLAMcore already supports Arm-based systems including Raspberry Pi 4 and NVIDIA Jetson TX2 processors – both of which will be demonstrated at the Embedded Vision Summit. In addition, Qualcomm recently announced SLAMcore as the development partner on its new RB5 Robotics Platform. Joining the Arm AI Partner Programme will help to extend this range to some of the most powerful and commonly used processors in the industry. Working with Arm will also help SLAMcore to further enhance its Spatial AI SDK to capitalise on the capabilities of Arm’s cutting-edge embedded processors.


“SLAM and Spatial AI are exciting technologies helping to enable the next wave of experiences and autonomy in devices. These are complex workloads which require efficient and trusted processors across many devices and performance needs,” said Dennis Laudick, vice president of marketing, Machine Learning Group, Arm. “The addition of SLAMcore to the Arm AI Partner Program highlights our commitment to enabling a range of developers with the innovation and performance needed to deliver the next-generation of AI-powered experiences.”


“Optimization of SLAM algorithms to the processors and hardware they use is essential to deliver accuracy and speed in a computationally efficient way. Rather than settle for weaker solutions that work with generic hardware, we have focused on tailoring our algorithms to work brilliantly with the best available processors and sensors,” said Paul Brasnett, vice president of strategy at SLAMcore. “Robot developers can be confident that the combination of the SLAMcore Spatial AI algorithms and hardware from our partners will deliver highly accurate, robust and reliable SLAM for their robot designs.”




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Story and Strategy Ltd
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https://www.slamcore.com/ 15 Sep 2020 13:00:02 GMT Business & Finance Computing & Telecoms Consumer Technology Manufacturing, Engineering & Energy Transport & Logistics
<![CDATA[ SLAMcore teams up with Intel RealSense technology with first “out-of-the-box” SLAM algorithms ]]> https://pressat.co.uk/releases/slamcore-teams-up-with-intel-realsense-technology-with-first-out-of-the-box-slam-algorithms-ab084e6c4f1b9b93fdc64ae299c39801/ https://pressat.co.uk/releases/slamcore-teams-up-with-intel-realsense-technology-with-first-out-of-the-box-slam-algorithms-ab084e6c4f1b9b93fdc64ae299c39801/ Monday 24 August, 2020

Combination of cutting-edge hardware and software delivers powerful spatial AI solution for mass adoption in autonomous robots


London. 24th August 2020. SLAMcore, a leader in Visual SLAM and Spatial AI systems essential for autonomous robot navigation has been added to the Intel RealSense software program. SLAMcore’s are the first Simultaneous Localization and Mapping (SLAM) algorithms to be included in the programme.


Vision is increasingly understood to be a key component in SLAM providing not only 3D-depth perception but additional rich information that increases detail of maps, enables faster location, and supports complex semantic segmentation of objects within scenes. Robust, reliable and commercially viable cameras are an essential element of today’s leading SLAM solutions. The Intel RealSense Depth Camera D435i combines a wide field of view and great low‑light sensitivity with an inertial measurement unit (IMU). It is a powerful solution for autonomous robotics solutions where small form-factor and light weight are as important as exceptional performance.


SLAMcore is a world leader in localization and mapping for affordable hardware. Its multi-sensor algorithms have vision at their core and the SLAMcore Spatial AI SDK has been optimized for the Intel RealSense Depth Camera D435i. Developers can be confident that the SLAMcore SDK will work straight out of the box with the depth camera D435i sensor to provide capabilities including lighting invariant six degrees of freedom (6DoF), localization and global/local mapping for a wide range of autonomous robotic platforms.


SLAM remains one of the hardest development issues for many robot developers, consuming significant time and resources. SLAMcore’s vision is to provide commercial-scale SLAM solutions that can be optimized for a wide range of hardware and sensors so that developers can concentrate on the specific capabilities of their robots rather than struggling to solve simultaneous mapping and localization challenges.


Owen Nicholson, CEO at SLAMcore, commented; “Working as an Intel RealSense Software partner, we can accelerate the deployment of capable autonomous robots in many walks of life. Our software and Intel’s sensors will help robot developers crack the SLAM challenge quickly and cost effectively.”


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https://www.slamcore.com/ 24 Aug 2020 13:00:02 GMT Business & Finance Computing & Telecoms Transport & Logistics
<![CDATA[ SLAMcore wins prestigious award for ground-breaking Spatial AI SDK for robots ]]> https://pressat.co.uk/releases/slamcore-wins-prestigious-award-for-ground-breaking-spatial-ai-sdk-for-robots-dfa6a025072689a01091e64e6da50590/ https://pressat.co.uk/releases/slamcore-wins-prestigious-award-for-ground-breaking-spatial-ai-sdk-for-robots-dfa6a025072689a01091e64e6da50590/ Friday 24 July, 2020

SLAMcore, a leader in Visual SLAM and spatial AI systems essential for autonomous robot navigation, has won the Judges’ Award from the Edge AI and Vision Alliance at its prestigious Vision Tank Start-Up Competition. The global competition identifies the best new visual AI and computer vision innovations and invites finalists to pitch their company and product to judges in front of a live audience.


SLAMcore presented its Spatial AI SDK, a ground-breaking approach to solving one of the hardest problems for robot designers – giving robots the ability to locate themselves, map and understand the space around them. Currently, developers spend millions optimising algorithms for specific hardware and bespoke applications. The industry needs a flexible set of building blocks that can provide vision based, simultaneous localisation and mapping (SLAM) solutions that can be used with a wide range of hardware to support robot applications across different commercial applications. SLAMcore’s Spatial AI SDK delivers this.


The Edge AI and Vision Alliance judges awarded the prize to SLAMcore because it stood out for its technical innovation and excellence in business plans, teams and market potential.


The SLAMcore Spatial AI SDK is a set of algorithms that have been designed to work out of the box with the Intel RealSense Depth Camera D435i. It can be downloaded and installed in a matter of minutes saving developers months, if not years, of time creating their own solutions. SLAMcore’s algorithms blend data from a range of sensors allowing robots to tackle positioning, mapping and object recognition together in real-time. It can be integrated into virtually any mobile robotic design helping to accelerate the development of robots that can help in numerous different scenarios.


Owen Nicholson, SLAMcore CEO, commented: “We are proud to be recognised by the Edge AI and Vision Alliance not only for our technology but for our approach to market. Our SDK solves a thorny technical problem in a way that will stimulate growth across the whole industry. Instead of thousands of firms struggling to solve SLAM issues for their own specific niches, all can integrate and use our solutions in a highly cost-effective manner to rapidly shorten time to market.


“The valuable role robots can play working alongside humans has been underlined in the COVID-19 pandemic. With our SDK more companies will be able to design, build and deploy more capable robots faster to take on a wide variety of tasks supporting human workers in numerous industries.”


Jeff Bier, founder of the Edge AI and Vision Alliance, said: “We received dozens of strong entries for this year’s Vision Tank Start-Up Competition. I congratulate SLAMcore for distinguishing itself among this strong competitive field and look forward to helping the SLAMcore team bring its plans to fruition.”




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+44 (0)7968 537982

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https://www.slamcore.com/ 24 Jul 2020 11:40:01 GMT Business & Finance Computing & Telecoms Manufacturing, Engineering & Energy Transport & Logistics