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Robotics News
TechCrunch
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Anybotics raises $60M to bring more autonomous industrial robots to the U.S.
- Swiss robotics company Anybotics has raised an extra $60 million to close its Series B round at $110 million.
- Anybotics' quadruped autonomous inspection robot, Anymal, is used for monitoring equipment in industrial settings.
- With the funding, Anybotics plans to drive its U.S. expansion and scale its core business globally.
- The funding round was co-led by Qualcomm Ventures and Supernova Invest, with participation from other investors.
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TechCrunch
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Pentagon doesn’t know where mystery drones over New Jersey come from
- The Pentagon has no evidence that the mystery drones flying over New Jersey are from a foreign entity or the U.S. military.
- The FBI is investigating the situation and has received over 3,000 reports of sightings from the public.
- Pentagon press secretary confirms the drones are not from a foreign adversary or the U.S. military.
- The investigation is ongoing to determine who is behind the drones and the nature of the sightings.
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TechCrunch
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Pentagon says mystery drones over New Jersey are ‘not US military,’ not likely foreign
- The Pentagon has stated that the mystery drones flying over New Jersey and other parts of the northeast US are not US military drones and are unlikely of foreign origin.
- The FBI is working with state and local authorities to investigate the situation and has received over 3,000 reports of sightings from the public. However, the responsible party is still unknown.
- Pentagon press secretary, Sabrina Singh, confirmed that the drones are not coming from a foreign adversary and are not US military drones. She denied the theory that the drones were launched by an Iranian 'mothership'.
- The investigation is ongoing to determine who is behind the drones, which have caused concern among local residents and disrupted emergency medical transport.
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Embedded
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Advantech Unveils the MIC-732 Series Featuring NVIDIA Nova Orin to Drive Innovation in the AI Autonomous Mobile Robots (AMR) Market
- Advantech unveils the MIC-732 series featuring NVIDIA Nova Orin for AI autonomous mobile robots (AMR).
- The MIC-732 allows AI developers to integrate AMR solutions more easily, reducing development costs.
- NVIDIA Nova Orin consolidates all AMR components into a unified system, simplifying construction of AMR solutions.
- The MIC-732 series is designed for various AMR applications in sectors such as smart warehousing, precision agriculture, and logistics.
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The Robot Report
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Universal Robots picks China for first overseas production facility
- Universal Robots, the world's leading developer of collaborative robot arms, is opening its first overseas production facility in China.
- To meet the increasing demand in China, Universal Robots will manufacture two new cobots exclusively for the Chinese market.
- The UR7e has a 7.5 kg payload and an 850 mm reach, while the UR12e has a 12.5 kg payload and a 1,300 mm reach.
- The move comes as China remains the largest robotics market, and Universal Robots aims to extend its production base to reach more global customers.
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Unite
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AI in Art: Everything You Should Know About Its Role and Future
- AI in art is boosting creativity, automating processes, and generating unique works. It also collaborates with artists to generate new possibilities and blurring boundaries between human and machine creativity.
- AI is a powerful creative tool but opinions differ on its true level of creativity and originality. AI is seen as an engine for the imagination by some creatives.
- Applications of AI in art are generative AI, style transfer, enhancing artistic processes, personalized and predictive design.
- One of the major concerns in this domain is the Pandora's box of ethical and philosophical questions sprouting up with the use of AI, which also raises questions around the ownership, creativity, privacy, and bias in artworks. Additionally, there are worries that AI-generated art might strip away the personal, emotional touch that makes human art unique.
- While AI is overhauling the world of art and design, there are still some concerns like technological constraints, risks of over-reliance formal training, fair compensation for artists, and changes in the job market.
- However, AI in Art and Design is also opening up exciting possibilities, such as Interactive Art with AR and VR, AI as curators in Museums and Galleries, Personalized Art and Design, and expanding AI’s influence beyond traditional art.
- In a future where AI is both artist and the medium, the creative possibilities are limitless, and we're only scratching the surface of what can be done with the aid of AI.
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Unite
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Optimizing Neural Radiance Fields (NeRF) for Real-Time 3D Rendering in E-Commerce Platforms
- Neural Radiance Fields (NeRFs) generate highly realistic 3D models from a series of 2D images, promising a significant improvement in rendering quality.
- Real-time 3D rendering is essential for e-commerce platforms to improve the shopping experience, and optimize products for 3D/AR formats can boost conversion rates.
- Recent advances have introduced innovative techniques to make NeRFs faster and more efficient, bringing them closer to real-time applications.
- NeRF-based rendering can automate much of the process of creating 3D models at scale with just a few images, which saves time and money.
- Integrating NeRF-based rendering into e-commerce requires careful preparation and relatively high investments in technology that allows businesses to access resources without heavy upfront investments.
- Despite its promise, NeRF-based rendering faces challenges, including latency and resource demands; ongoing innovations in optimization and sustainability can be helpful for broader adoption.
- NeRFs are shaping the future of online retail and creating immersive, efficient, and customer-centric shopping experiences.
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Unite
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Derek Streat, CEO and Founder of DexCare – Interview Series
- Derek Streat is an experienced entrepreneur with a track record of founding and leading six venture-backed companies, including DexCare, an AI-powered care orchestration platform.
- DexCare integrates with existing systems to forecast demand, allocate resources, and guide patients to the most appropriate care, delivering actionable insights and streamlined operations.
- Streat founded DexCare to bridge the access gap for everyone, and aims to serve more patients effectively by reducing provider burnout, creating capacity, and expanding access.
- DexCare uses AI to optimize healthcare delivery by predicting and distributing care resources. It enables 40% more patients to receive care using the same clinical resources, drives a 24% increase in new patient acquisition, and saves over 34,000 hours of physician time.
- Streat learned through his previous ventures that introducing innovation in healthcare requires building trust with stakeholders and addressing the unintended consequences that can emerge when technology intersects with human lives.
- Streat believes that AI in healthcare extends the capacity of healthcare professionals and must operate alongside care providers to be successful. Platforms like DexCare demonstrate how AI can help health systems operate more efficiently and reduce burnout.
- AI adoption in healthcare requires a focus on data fidelity, diversity, and aggregation. DexCare prioritizes data intelligence as the cornerstone of its applications to power how care is orchestrated, routed, and delivered while avoiding perpetuating inequities.
- In healthcare, implementing AI requires rigorous, standardized policies to ensure the safe and ethical use of the technology. AI advancements can contribute to personalized medicine and greater access to consumer-centric care.
- Streat advises entrepreneurs looking to bring AI into healthcare to stay adaptable, embrace setbacks, and focus on building solutions that solve for immediate, real-world problems.
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Unite
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How to Overcome Innovation FOMO & Use AI/GenAI to Solve Specific Business Problems
- Corporate leadership teams express the need to use AI and GenAI in operations, but it is important to remember that innovation is a process and must be matched to specific needs with evaluated risk and tied to measurable business outcomes.
- To maximize ROI in an enterprise-wide AI ecosystem, a slow and focused approach should be used to encourage a test-and-learn mindset. Transportation industries use AI for demand forecasting, inventory management, predictive maintenance, and route optimization among other applications.
- GenAI creates realistic messages, preserving brand reputation, and helps to communicate in ways that feel genuine. Retail industries use AI to analyze customer data and give personalized experiences and predict future behavior for targeting sales efforts and customer acquisition.
- In industries like healthcare and financial services, security concerns cause slower AI adoption, but AI enjoys a net positive impact in fraud detection as algorithms can identify anomalies. Fraud detection is a growing problem in finance.
- Banking industries use AI and machine learning to train modules with historical data, predict future cash flow, reduce version control issues, and gain better insight into current and future cash positions. AI is helping empower investors, especially those focused on sustainability.
- Leadership needs to ensure that change is a team sport, any new technology introduced must have measurable business outcomes, and that speed must be balanced with direction to maintain meaningful impact.
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Unite
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When to Avoid AI in Healthcare
- AI in healthcare has numerous legitimate use cases, but there are situations where it should be avoided.
- Denying claims and care should involve human input and caution, as AI's capabilities are limited.
- Relying solely on past decisions made by AI can perpetuate inaccuracies and flawed understanding of policies.
- Applying AI as a one-size-fits-all solution on top of complex legacy systems can lead to confusion and inaccuracy.
- To be effective, AI needs constant feedback based on quality data, and it should be used as a co-pilot with human oversight.
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Unite
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Image Credit: Unite
Nitin Singhal, VP of Engineering (Data, AI, and Integrations) at SnapLogic
- Nitin Singhal is the Vice President of Engineering at SnapLogic, where he focuses on responsible integration of applications and systems. SnapLogic is an AI-powered integration platform that streamlines data and application workflows with over 1,000 pre-built connectors
- Singhal has over 25 years of experience in the industry and has previously held various engineering and product leadership positions at prominent organizations, including Twitter and Visa.
- Obsolete systems, particularly legacy infrastructures, lead to crippling inefficiencies and prevent organizations from harnessing AI for high-value tasks. These outdated technologies struggle with data accessibility and integration, creating costly operational bottlenecks that hinder automation and innovation.
- SnapLogic's platform empowers businesses to unify and automate workflows across data and applications, bridging legacy systems with modern, AI-ready infrastructure. By seamlessly connecting fragmented data sources and simplifying integration across cloud and on-premises environments, SnapLogic accelerates the transition to a unified system where AI can deliver immediate value.
- SnapLogic’s Generative Integration is a cutting-edge feature of SnapLogic's platform that utilizes generative AI and large language models (LLMs) to streamline and automate the creation of integration pipelines and workflows.
- SnapLogic offers immense flexibility by allowing customers to utilize any public LLM models tailored to their specific needs.
- Industries that rely on data-driven decision-making and repetitive tasks stand to benefit the most. For instance, in the financial services sector, AI can automate tasks like customer support, fraud detection, and loan approvals, streamlining operations and enhancing the customer experience.
- Businesses can evaluate their AI readiness by assessing whether their current systems can integrate with modern AI tools and scale to meet increasing data demands.
- With SnapLogic AgentCreator, organizations can deploy AI agents that automate tasks, make real-time decisions, and adapt within existing workflows.
- Cutting-edge observability, security, and privacy protection techniques following composable architecture are critical for seamless and responsible AI readiness.
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Unite
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RapidCanvas Secures $16M Series A to Bring AI Agents and Human Expertise Together for Scalable Business Transformation
- RapidCanvas announced a $16 million Series A funding round led by Peak XV, with participation from Titanium Ventures and existing investors Accel and Valley Capital Partners.
- RapidCanvas is an AI platform that unites cutting-edge AI agents with the guidance of human experts, enabling organizations to build custom, high-performance AI solutions 10X faster and at 80% lower cost than conventional methods.
- This new investment brings the company’s total funding to over $23.5 million since its launch in 2021.
- RapidCanvas’s innovation lies in seamlessly blending automation and human judgment to build scalable and outcome-driven AI solutions.
- The $16 million Series A round validates RapidCanvas’s approach to making AI transformation both accessible and impactful.
- Despite the pressing need for AI capabilities, enterprises face a persistent shortage of qualified experts.
- The platform’s AI agents simplify complex workflows, and its intuitive, conversational canvas interface makes it easy for anyone to command sophisticated AI tools.
- RapidCanvas pushes beyond this paradigm with its “Service-as-Software” model, where AI agents autonomously perform tasks at scale, freeing human experts to focus on strategic decisions.
- The platform’s automation capabilities reduce the need for large technical teams, cutting overhead costs significantly.
- With a flexible deployment model (SaaS or private cloud) and the ability to integrate seamlessly into existing data infrastructures, the platform adapts as enterprises grow.
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The Robot Report
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Image Credit: The Robot Report
How Ambi Robotics rolls out improvements for peak season
- Ambi Robotics has improved its robots ahead of this year's peak season by using AI to increase sort accuracy and throughput, while also rolling out control software for robot arms and gantries that boosts productivity, according to Jeff Mahler, the company's CTO. The firm is also interested in the potential of generative AI, which might be used to help machines interpret product labels when only part of a barcode is visible. Ambi Robotics' systems can shift from reactive to proactive operation to cater for spikes in e-commerce growth and handle sorting throughput of up to 1,200 sorts per hour.
- During the 2023 peak season, Ambi Robotics’ robots sorted 7.4 million packages at 410 sorts per hour. This year, they can sort up to 500 packages per hour. | Source: Ambi Robotics
- The month between Thanksgiving and Christmas is the busiest time of year by far for logistics providers, and this year, it’s even shorter than most peak seasons. With Thanksgiving falling just a week later than usual, automation providers such as Ambi Robotics Inc. need to ramp up operations to help customers ensure packages are delivered before the holiday.
- Founded in 2018, Ambi Robotics is developing robots that scale e-commerce operations to meet demand. Its latest system, the AmbiSort B-Series, is a modular parcel induction and sorting system using artificial intelligence.
- Ambi tracks KPIs for each robot to determine areas that can be improved to make operations more efficient. Key performance indicators include sorting accuracy and uptime.
- To improve its robots, Ambi has continually improved its AI models, rolling out upgraded versions every month. It is also using generative AI, which it sees as a major opportunity for the robotics industry by 2025.
- Improvements to Ambi's robots, such as improvements to gripper technology, are made without any hardware changes. The company wants improvements to be rolled out to customers quickly and using the hardware they already have.
- Ambi's interest in innovation goes beyond the hardware of its robots, with a focus on improving IT infrastructure that supports operations and technology and creating better notification systems for when something goes wrong.
- In 2023, Ambi robots sorted 7.4 million packages using AI. The company is interested in the potential of generative AI to read product labels instead of barcodes when they are unreadable. AI models are upgraded monthly and improvements are made without hardware changes. The goal is to boost performance capacity by using the hardware they already have.
- Improvements to IT infrastructure and better notification systems for errors are also on Ambi's docket. The company plans to refine KPI targets to further improve operational efficiencies during peak season.}
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Nvidia
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Image Credit: Nvidia
Into the Omniverse: How OpenUSD-Based Simulation and Synthetic Data Generation Advance Robot Learning
- Universal Scene Description (OpenUSD) provides a scalable and interoperable data framework for developing virtual worlds where robots can learn how to be robots.
- NVIDIA Isaac Sim is advancing perception AI-based robotics simulation.
- Companies can reduce time to deployment and improve robot performance across a variety of use cases.
- Simulation is a crucial tool for the creation of physically accurate environments where robots can learn through trial and error, refine algorithms and even train AI models using synthetic data.
- With a new reference workflow, developers can accelerate the generation of synthetic 3D datasets with generative AI using OpenUSD NIM microservices.
- Humanoid robots are the next wave of embodied AI, but they present a challenge at the intersection of mechatronics, control theory and AI.
- With NVIDIA Isaac Lab, developers can train humanoid robot policies at scale via simulations.
- Partners across industries are using Isaac Sim, Isaac Lab, Omniverse, and OpenUSD to design, simulate and deploy smarter, more capable autonomous machines.
- Wandelbots integrates its NOVA platform with Isaac Sim to create physics-based digital twins and intuitive training environments, simplifying robot interaction and enabling seamless testing, validation, and deployment of robotic systems in real-world scenarios.
- For more on optimizing OpenUSD workflows, explore the new self-paced Learn OpenUSD training curriculum that includes free DLI courses for 3D practitioners and developers.
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