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Robotics News
Unite
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Heico Sandee, Founder and CEO of Smart Robotics – Interview Series
- Heico Sandee is a co-founder and CEO of Smart Robotics, a company that offers technology and services designed to automate pick-and-place stations in fulfillment centers. Smart Robotics provides user-friendly, reliable, and adaptable pick-and-place systems capable of handling a wide variety of items.
- Smart Robotics was founded in 2015 by Heico Sandee and Mark Menting. The company is focused on offering more flexible and innovative pick and place automation in response to the ever-increasing and varying consumer demand.
- Smart Robotics has evolved over the past nine years and has developed a strong partner network in Europe and beyond. Smart Robotics' pick and place robots are utilized by various industries in Europe, particularly in the Benelux and Dach regions. The solutions are most impactful in the food, retail, pharma, and parcel logistics industries.
- Smart Robotics designs robots to work alongside humans, improving speed and accuracy of palletizing tasks without safety fences because these robots can continue operation even with an operator nearby.
- Smart Robotics has provided tailored robotic solutions for precise, repetitive tasks like order picking, and packing. Smart Robotics' advanced vision and task planning capabilities ensure accurate handling of sensitive pharmaceutical items, enhancing efficiency, minimizing human error, and improving overall operational safety.
- AI plays a fundamental role in Smart Robotics' robotic systems by enabling robots to autonomously navigate complex logistics tasks. Continuous learning allows the robots to improve with each task, adapting to new items, environments, and challenges without needing manual intervention.
- The Technology Trinity (motion, vision, and decision-making) is a core innovation for Smart Robotics. Vision is powered by 3D camera sensors and deep learning, enabling precise detection of items in their surroundings.
- Smart Robotics software integrates seamlessly with a wide range of robotic systems, independent of the hardware in use, offering flexibility to clients across different industries.
- Smart Robotics envisions the future of warehouse automation and robotics where a team of robots, guided by advanced software and AI, can efficiently handle products and packages alongside humans, making their tasks easier and more effective and safer.
- The company will play a vital role in the anticipated 50% or greater increase in robotics use in warehouses worldwide over the next five years.
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Unite
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Huawei’s Ascend 910C: A Bold Challenge to NVIDIA in the AI Chip Market
- Huawei's Ascend 910C is a significant challenge to NVIDIA’s dominance in AI chip market, particularly in China, as the Ascend 910C's competitive performance, energy efficiency, and integration within Huawei's ecosystem make it a strong contender for enterprises looking to scale their AI infrastructure.
- Huawei's Ascend 910C promises competitive performance, energy efficiency, and strategic integration within Huawei’s ecosystem, potentially reshaping the dynamics of the AI chip market.
- The Ascend series began with the Ascend 310 designed for edge computing, and the Ascend 910 aimed at high-performance data centers.
- The Ascend 910 was recognized as the world's most powerful AI processor, delivering 256 teraflops (TFLOPS) of FP16 performance, while the Ascend 910C promises up to 320 TFLOPS of FP16 performance and 64 TFLOPS of INT8 performance.
- NVIDIA's A100 and H100 GPUs, built on the Ampere and Hopper architectures, respectivel, with A100 delivering up to 312 TFLOPS of FP16 performance and H100 offers even more robust capabilities.
- Reports indicate that Huawei has started distributing prototypes of the Ascend 910C to major Chinese companies, including ByteDance, Baidu, and China Mobile.
- The success of the Ascend 910C will rely heavily on Huawei's ability to develop a robust software ecosystem and strengthen its strategic partnerships to solidify its position in the evolving AI chip industry.
- The AI chip industry will likely keep evolving, with technologies like quantum computing and edge AI reshaping the domain.
- Huawei aims to strengthen its foundations in the AI chip market by continuing to invest in research and forming strategic partnerships.
- Geopolitical factors have significantly influenced Huawei's strategy. With US restrictions limiting its access to advanced semiconductor components, Huawei has increased its investments in R&D and collaborations with domestic chip manufacturers.
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The Robot Report
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Standard Bots acquires READY Robotics’ IP to advance AI for robot training
- Standard Bots has acquired all the IP of READY Robotics, comprised of ForgeOS robot-agnostic operating system’s software, patents, and trademarks.
- Standard Bots plans to market READY's API with its own training software and to bring its UI and AI platform to NVIDIA Omniverse and other robot vendors.
- The acquisition will enable Standard Bots to make its AI control software usable with multiple robot brands.
- READY had raised $40m in eight years, but reportedly had difficulty persuading robot manufacturers to work with ForgeOS, and shut down in August. Standard Bots, which is focused on using AI to train robots, acquired only the IP of READY Robotics.
- Standard Bots has already developed applications for its robot, the RO1 arm, which has a built-in 3D camera.
- The company is developing AI-capable robots from the ground up with a safety layer.
- The technology aims to prevent an AI model from driving robot arms into a collision by building new robots designed from the ground up to run AI models with safety built-in.
- Research labs working on foundation models are already using Standard Bots' integrated systems. The company also provides handheld devices for imitation learning, enabling robots to generalize behavior and correct motion in real time.
- Standard Bots believes its technology can help avoid much of the time and expense currently spent on developing industrial robot applications. Users can collect training data, fine-tune, and train on top of a foundation model, and deploy to any major robot brand.
- Standard Bots has already developed specific solutions for welding, machine-tending, and palletizing applications. The company is committed to the task of democratising technology by making robots more accessible and easier to train.
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Insider
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OpenAI hires Meta's former AR glasses lead to head its robotics team
- OpenAI has hired Meta's former hardware lead, Caitlin Kalinowski, to head its robotics team.
- Kalinowski previously led Meta's AR glasses hardware team and oversaw the creation of Orion, Meta's prototype AR glasses.
- OpenAI is focusing on bringing AI into the physical world and unlocking its benefits for humanity.
- This hire indicates OpenAI's reinvestment in its robotics efforts after shutting down the team in 2020.
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Softwareengineeringdaily
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Boston Dynamics with Matt Malchano
- Boston Dynamics is a robotics company known for creating advanced robots with highly dynamic movement and agility.
- Matthew Malchano is Boston Dynamics' Vice President of Software and has been a technical contributor and leader on robotics projects.
- In a podcast interview, Matt discusses his work at Boston Dynamics and his background in robotics.
- The podcast episode covers various topics related to robotics and engineering.
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Analyticsindiamag
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Robotics Startup Physical Intelligence Raises $400 Million, Backed by Jeff Bezos, OpenAI, and Major Investors
- Robotics startup Physical Intelligence has raised $400 million in a funding round led by Jeff Bezos and backed by major investors including OpenAI.
- The company aims to bring general-purpose AI into the physical world and has developed a robotic foundation model called π0 (pi-zero).
- Physical Intelligence's recent research showcases robots performing tasks like folding laundry and clearing tables, highlighting its versatility as a true generalist.
- Competition in the robotics industry is fierce, with other companies like Skild, Figure AI, and Sanctuary AI also pursuing ambitious goals.
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The Robot Report
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Physical Intelligence raises $400M for foundation models for robotics
- Physical Intelligence raises $400M for foundation models for robotics.
- Physical Intelligence aims to develop AI that can control any robot through a single generalist brain.
- The company seeks to create foundation models that enable robots to perform various tasks with fewer examples.
- Physical Intelligence has raised $400 million in funding, led by Jeff Bezos and other prominent investors.
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TechCrunch
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Meta’s former hardware lead for Orion is joining OpenAI
- Caitlin Kalinowski, former head of Meta's augmented reality glasses team, is joining OpenAI to lead robotics and consumer hardware.
- Kalinowski oversaw the creation of Meta's augmented reality prototype, Orion.
- She will initially focus on OpenAI's robotics work and partnerships to bring AI into the physical world.
- OpenAI is also hiring research engineers for its robotics team and collaborating with Jony Ive's startup, LoveFrom.
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Pymnts
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Physical Intelligence Raises $400 Million to Develop Robot Software
- Robotics startup Physical Intelligence has raised $400 million in early-stage funding.
- The funding round values the company at $2 billion and includes participation from Jeff Bezos and OpenAI.
- Physical Intelligence aims to develop software that can work on any robot, eliminating the need to build software for individual tasks.
- The company's pi-zero software enables robots to perform tasks like folding laundry and bagging groceries.
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Medium
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AI in 2024 is impressive — yet biological intelligence is still unmatched. Why?
- Artificial Intelligence (AI) has improved dramatically in recent years but still differs from biological intelligence.
- AI can capture and recombine the building blocks of natural intelligence, but remains distinct from biology.
- AI has the potential to replicate much of what biology can do.
- It is only a matter of time and investment before AI achieves greater functionality.
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The Robot Report
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binder releases angled M5 panel mount connectors for robotics
- Industrial connector specialist binder USA has introduced angled M5 panel mount connectors to its product range.
- The connectors are designed to meet the high requirements of complex industrial applications, particularly in settings with limited installation space such as robots.
- The angled M5 panel mount connectors enable mechanical and electrical connections in tight spaces, targeting markets like industrial camera technology, automation sensors, analytical devices, collaborative robots, and drones.
- binder developed these connectors in response to a customer's request and will soon add them to their standard portfolio.
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The Robot Report
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Geek+ and Intel launch Vision Only Robot Solution for smart logistics
- Geek+ Technology Co. launched its Vision Only Robot Solution, developed in collaboration with Intel.
- The system includes Intel Visual Navigation Modules, which drive the digital transformation of the logistics industry.
- The vision-only robots equipped with Intel Visual Navigation Modules feature algorithmic innovations in navigation, obstacle avoidance, and positioning.
- Geek+ plans to strengthen its partnership with Intel to develop more smart logistics systems.
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Tech Story
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Amazon plans to deliver more items on the same day in the US. Amazon Expands Same-Day Delivery Capabilities: Advanced Robotics to Power Faster Service
- Amazon is set to expand its same-day delivery offerings across the US with the launch of a new robotics-powered fulfilment centre in Shreveport, Louisiana.
- The new facility, which features a multilevel, containerized storage system called 'Sequoia,' can hold over 30 million items and offers five times the storage capacity of its Houston-based predecessor.
- The Sequoia system is designed to streamline the storage and retrieval of items and will allow Amazon to keep more products close to customers, making delivery processes more efficient and cost-effective.
- The greater efficiency also means faster delivery for customers in the southern US, with the Shreveport facility already providing such a service.
- Amazon aims to reduce fulfillment processing times by up to 25% with the use of advanced automation and streamlined robotic fleet management.
- The company expects to cut its costs by 25% during peak periods by using advanced robotics.
- The Sequoia system and Amazon's integrated robotics are helping to ensure warehouse safety for employees while boosting productivity.
- Expansion of same-day delivery services could help boost Amazon's competitiveness in the e-commerce industry and set a new standard for customer expectations.
- The imminent leap in delivery capabilities comes as an element of the company's developing logistics and operational infrastructure.
- Amazon CEO, Andy Jassy, emphasized that this would lead to a superior customer experience, particularly during peak periods such as holiday seasons or Prime Day.
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Nvidia
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Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data
- NVIDIA has released an AI Blueprint for video summarisation to enable companies to develop their own visual AI agents to analyse image and video data for various use cases.
- NVIDIA's AI Blueprint harnesses Vision Language Models, which are a class of generative AI models that combine computer vision and language understanding.
- The software enables customisation of virtual assistants across industries, and offers a full suite of optimised software for building and deploying generative AI-powered agents that can ingest and understand massive volumes of live video streams or data archives.
- Accenture and Dell Technologies will be among companies using the NVIDIA AI Blueprint for visual search and summarisation to build virtual AI agents that can assist with productivity and safety in factories, warehouses, shops, airports, traffic intersections and other places.
- The NVIDIA AI Blueprint for video search and summarisation can be configured with NVIDIA NIM microservices for VLMs and AI models.
- Adopting NVIDIA’s blueprint could save developers months of investigation and optimisation of AI models for smart city applications.
- Deployed on NVIDIA GPUs, the process of combing through video archives to identify key moments can be accelerated.
- Visual AI agents could also be used to aid customers with visual impairments, generate recaps of sporting events or label visual datasets to train other AI models.
- The NVIDIA AI Blueprint may also be used to identify traffic collisions or generate reports to aid emergency response efforts.
- The latest blueprint joins a collection of NVIDIA AI Blueprints that make it easy to create AI-powered digital avatars, build virtual assistants for personalised customer service or extract enterprise insights from PDF data.
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