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Robotics News
TechCrunch
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Nvidia and Google DeepMind will help power Disney’s cute robots
- Nvidia is collaborating with Disney Research and Google DeepMind to develop a physics engine called Newton to simulate robotic movements in real-world settings.
- Disney will be one of the first to use Newton to power its next-generation entertainment robots, including the Star Wars-inspired BDX droids.
- Nvidia plans to release an early, open-source version of Newton later in 2025.
- Newton is designed to make robots more expressive and capable of handling complex tasks with greater precision, and it will be compatible with Google DeepMind's ecosystem of robotic development tools.
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The Robot Report
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Ocado unveils Porter pallet moving AMR at ProMat
- Ocado’s Porter AMR can automate pallet and cage handling and full-case fulfillment tasks.
- Porter is a pallet-moving autonomous mobile robot (AMR).
- Porter features onboard touchscreen, 3,300-pound payload capacity, and advanced sensors.
- Porter integrates with existing warehouse systems to increase productivity and ensure workplace safety.
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Nvidia
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NVIDIA Unveils Open Physical AI Dataset to Advance Robotics and Autonomous Vehicle Development
- NVIDIA has introduced an open-source dataset aimed at advancing robotics and autonomous vehicle development by providing vast high-quality data.
- This dataset includes trajectories for robotics training and Universal Scene Description assets, with future support for autonomous vehicles.
- The dataset supports various AI applications such as robots navigating warehouse environments, humanoid robots, and autonomous vehicles.
- It aims to become the largest open dataset for physical AI development, benefiting researchers and developers in various domains.
- The dataset can enhance AI model performance through pretraining and post-training, offering diverse scenarios and real-world physics representation.
- It addresses the challenge of data collection and annotation for AI development, particularly in the field of autonomous vehicles.
- Developers can utilize tools like NVIDIA NeMo Curator to efficiently process vast datasets for model training and customization.
- University labs, including UCSD and Berkeley DeepDrive, are set to adopt the dataset for research in robotics, autonomous systems, and safety evaluations.
- Christensen at UCSD aims to develop semantic AI models for robots in various environments, while CMU's Safe AI Lab plans to evaluate self-driving car safety.
- Berkeley DeepDrive and CMU researchers see the dataset as valuable for training AI models with causal reasoning and addressing edge cases in autonomous systems.
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TechCrunch
2w
270
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GM teams up with Nvidia to bring AI to robots, factories, and self-driving cars
- General Motors (GM) partners with Nvidia to bring AI to robots, factories, and self-driving cars.
- Nvidia will provide AI infrastructure, including GPUs, to GM and assist in building custom AI systems.
- GM plans to utilize Nvidia Omniverse and Drive AGX for AI manufacturing models and in-vehicle hardware.
- The collaboration aims to revolutionize manufacturing, design, and driving experiences for GM vehicles.
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TechCrunch
2w
319
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Nvidia debuts Groot N1, a foundation model for humanoid robotics
- Nvidia is releasing an AI foundation model for humanoid robotics called Groot N1, which is a 'generalist' model trained on synthetic and real data.
- Groot N1 features a 'dual system architecture' inspired by human cognitive processes, allowing the robot to perceive and reason about its environment and instructions as well as translate plans into actions.
- Nvidia is making Groot N1 available in open source, along with simulation frameworks and blueprints for generating synthetic training data.
- The age of generalist robotics has arrived, according to Nvidia CEO Jensen Huang, although challenges remain for creating mass-produced humanoid robotic systems.
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Brighter Side of News
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First-ever multi-directional artificial muscles could revolutionize robotics
- Engineers and scientists have developed a breakthrough method at MIT, allowing muscle tissues to contract in multiple directions using STAMP, offering flexible, energy-efficient motion for biohybrid robots and medical applications.
- The STAMP approach guides muscle cell growth along microscopic patterns in a cost-effective manner and enables precise alignment of muscle fibers for improved functionality in biohybrid robots and tissue engineering.
- The method allows muscle fibers to grow in complex, multi-directional architectures while retaining their ability to generate force, overcoming limitations of previous unidirectional muscle tissue engineering.
- By creating microscopic grooves in soft hydrogels using 3D-printed stamps, STAMP enables muscle contraction in multiple directions without the need for expensive equipment or rigid scaffolds.
- The researchers showcased the versatility of their method by designing an artificial iris that mimics natural iris function, demonstrating the potential of STAMP in designing biohybrid robots with multi-degree-of-freedom motion.
- STAMP has implications beyond robotics, with applications in tissue engineering, drug screening for neuromuscular diseases, regenerative medicine, and soft robotics, offering a flexible and sustainable alternative to traditional rigid robots.
- The stamping technique could be extended to other cell types like neurons and cardiac muscle cells, potentially advancing bioelectronics and heart tissue engineering.
- MIT's breakthrough in engineered muscle tissue using STAMP simplifies the alignment of muscle fibers in complex orientations, driving innovation across fields like drug testing models and soft robotics.
- This study, published in Biomaterials Science, marks a significant step forward in biohybrid robotics and tissue engineering, with plans for exploring new muscle architectures and activation methods in future research.
- The technology holds promise for creating artificial tissues closely resembling natural counterparts, offering new possibilities in bioengineered muscle-powered systems across various applications.
- Contributions to the research were made by scientists at MIT and Tel Aviv University, emphasizing the interdisciplinary collaboration in advancing biohybrid engineering for future innovations.
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Nvidia
2w
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NVIDIA Open-Sources cuOpt, Ushering in New Era of Decision Optimization
- NVIDIA has open-sourced cuOpt, an AI-powered decision optimization engine, allowing developers to unlock real-time optimization at a large scale across industries like logistics, retail, and airlines.
- Key players in the optimization ecosystem such as COPT, FICO's Xpress team, and IBM are integrating or evaluating cuOpt, enhancing decision-making speed.
- NVIDIA collaborates with COIN-OR Foundation, enabling cuOpt to become open source and accessible to a wider community for solving complex optimization problems.
- cuOpt enables real-time decision-making for airlines, power grids, and financial institutions, optimizing operations efficiently.
- By leveraging NVIDIA GPUs, cuOpt evaluates billions of variables simultaneously, significantly accelerating computations and finding optimal solutions faster.
- Traditional optimization approaches navigate solution spaces sequentially, but cuOpt evaluates millions of possibilities intelligently, exponentially enhancing optimization speed.
- cuOpt accelerates linear programming and mixed-integer programming tasks significantly, showcasing speedups up to 3,000x in various optimization scenarios.
- Enhanced optimization not only improves business efficiency but also contributes to a more sustainable, resilient, and equitable world by reducing waste and enabling real-time resource allocation.
- Industry leaders like FICO, Gurobi Optimization, and IBM are exploring GPU-accelerated optimization with cuOpt, ushering in a new era for decision intelligence.
- cuOpt revolutionizes decision-making processes, providing developers with a high-performance AI toolkit and researchers with new opportunities for pushing AI-driven decision-making boundaries.
- cuOpt, to be released as open source later this year, offers real-time optimization benefits by integrating with NVIDIA AI Enterprise software platform for easy deployment in diverse environments.
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Unite
2w
325
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Or Lenchner, CEO of Bright Data – Interview Series
- Or Lenchner has been the CEO of Bright Data since 2018, leading its growth to over USD 100 million in revenue.
- Bright Data provides real-time web data access to various sectors.
- Lenchner advocates for open access to public web data for driving innovation.
- Challenges for AI teams include scalability and compliance in sourcing public web data.
- Bright Data addresses these challenges with scalable data collection and validation tools.
- High-quality web data is crucial for AI model performance, requiring accuracy and completeness.
- Ethical concerns in public web data collection include privacy and monopolization.
- Bright Data ensures compliance with global data privacy regulations while enabling large-scale data collection.
- The company balances business growth with ethical data collection practices.
- Bright Data stays ahead of regulatory changes in data privacy through proactive updates and compliance efforts.
- Emerging trends in AI data collection include real-time data access, synthetic data use, and explainable AI.
- AI agents and automation are changing the data collection landscape by enabling autonomous data gathering and processing.
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Unite
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175
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The Quantum Arms Race Isn’t Just About Tech, It’s About Who Controls the Narrative
- The narrative around quantum computing is shifting towards the battle of perception rather than just technology advancement.
- Industry leaders are emphasizing that practical quantum computing is still years away, benefiting classical computing investors.
- To drive quantum adoption, the focus needs to move from technical jargon to real-world applications for executives to understand its value.
- Successful companies need to make complex quantum concepts tangible and relevant, similar to how AI transitioned from concept to tool with visible capabilities.
- The perception that quantum computing is still theoretical needs to change to accelerate adoption, highlighting its tangible applications and benefits.
- Quantum computing is a national security asset with the U.S. and China engaged in a modern arms race to achieve quantum supremacy.
- Companies in the quantum computing space face challenges in differentiation, branding, and talent acquisition within a competitive market.
- Partnering with major industry players and focusing on application-driven solutions can help quantum computing companies stand out in the market.
- The quantum talent pool is limited, requiring companies to invest in employer branding, collaborations, and talent development programs to attract and retain skilled individuals.
- To drive enterprise adoption of quantum computing, companies must shift their messaging to focus on solving real business problems rather than emphasizing technological advancements.
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Unite
2w
68
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Is Generative AI a Blessing or a Curse? Tackling AI Threats in Exam Security
- The rise in upskilling and reskilling necessitates reliable certification of new skills, leading to cheating in certification tests posing threats to skill market integrity and human safety.
- Conventional cheating prevention methods have evolved to combat proxy testing with the introduction of deepfake technology enabling test security breaches.
- GenAI tools allow candidates to manipulate videos and deceive firms during exams, undermining the integrity of certification testing.
- Threats to exam security also come from other forms of GenAI like Large Language Models (LLMs) being exploited to pass high-stakes exams.
- New security procedures such as dual-camera proctoring and AI assistants are emerging to ensure exam integrity against evolving cheating methods.
- Dual-camera proctoring uses the candidate's mobile device as a second camera to detect cheating by providing a comprehensive view of the testing environment.
- AI serves as a 'second set of eyes' in dual-camera proctoring, enhancing cheating detection during live video feeds for added exam security.
- By employing innovative methods like dual-camera proctoring and AI-enhanced monitoring, test security services strive to counter the evolving threats posed by Generative AI.
- As Generative AI advances, security firms must continue to invest in developing multi-layered security strategies to ensure the reliability and trustworthiness of certifications and licenses.
- Harnessing AI for good in test security not only safeguards certifications but also fosters professional growth and trust in the workforce, staying ahead in the dynamic landscape of exam security.
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Unite
2w
330
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Adobe Introduces 10 Purpose-Built AI Agents for Customer Experience
- Adobe launched Experience Platform Agent Orchestrator and new enterprise capabilities at the Adobe Summit conference in Las Vegas.
- The new offerings focus on AI agent orchestration for customer experiences and streamlined content creation amid rising demand for personalized engagement.
- Adobe shifts from Customer Experience Management to AI-enabled Customer Experience Orchestration, aligning marketing, creativity, and AI for enhanced business capabilities.
- The Adobe Experience Platform Agent Orchestrator enables businesses to build, manage, and orchestrate purpose-built AI agents for customer engagement.
- Adobe unveiled 10 purpose-built AI agents for tasks like account qualification, audience analysis, content production, data insights, and journey orchestration.
- The new Adobe Brand Concierge offers personalized, conversational experiences to guide consumers in their purchase decisions.
- Adobe reports a significant increase in AI-guided purchase assistance on U.S. retail sites, signaling growing consumer interest.
- The Agent Orchestrator ecosystem includes partnerships with industry leaders like AWS, IBM, Microsoft, and Accenture, among others.
- Adobe Express introduces enterprise-level enhancements to combat 'content chaos' and empower distributed marketing teams with high-quality content creation tools.
- New capabilities in Adobe Express include Workfront integration, native reviews and approvals, customizable home pages, and one-click brand set-up for streamlined workflows.
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Arstechnica
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403
Image Credit: Arstechnica
SpiderBot experiments hint at “echolocation” to locate prey
- Researchers at Johns Hopkins University's Terradynamics Laboratory are using spider robots to study the behaviors of real spiders in locating prey.
- Spiders exhibit crouching behavior to sense differences in web frequencies and locate prey that is not moving.
- The research offers evidence for the hypothesis that spiders use a form of echolocation to find immobile prey.
- The experiments with robot models provide reproducible results and offer insights into the biological system of spiders.
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Unite
2w
180
Image Credit: Unite
Open-Source Alternatives Amid Semgrep Licensing Controversy
- Rival companies launch Opengrep, a fork of Semgrep, an open-source static application security testing tool.
- Opengrep aims to provide unrestricted commercial and public access to its code, as an alternative to Semgrep's restrictive licensing model.
- DevSecOps startup DeepSource launches Globstar, an open-source toolkit for code security, backed by Y-Combinator investors.
- Other open-source alternatives for code analysis include SonarQube and ShellCheck, providing developers and enterprises with different options.
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The Robot Report
2w
30
Apptronik brings in another $53 million to fuel Apollo production
- Apptronik raised an additional $53 million in its Series A funding round, bringing the total funding to $403 million.
- The funding will support the production and deployment of Apollo, an AI-powered humanoid robot, in various industries like automotive, logistics, and consumer goods.
- Apptronik's partnerships with Mercedes-Benz and GXO Logistics involve real-world testing of Apollo in applications.
- The company aims to advance humanoid robots as collaborators in different sectors, expanding from logistics and manufacturing to healthcare and elder care.
- The recent investments have propelled Apptronik's evolution, including partnerships with Google DeepMind and Jabil.
- Apptronik has raised a total of $431 million since its establishment in 2016, with backing from B Capital, Google, Mercedes-Benz, and other major investors.
- The surge in funding for humanoid robotics companies is evident, with large investments in companies like Figure AI and Agility Robotics.
- Humanoids will be a key focus at the upcoming Robotics Summit & Expo, showcasing the latest innovations and trends in the industry.
- The event will feature leading experts discussing advancements in humanoid robotics, safety standards, and future deployments.
- The Robotics Summit & Expo will provide valuable insights for developers and industry professionals, with a wide range of topics and networking opportunities.
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The Robot Report
2w
68
Locus Array automates induction, storage for ‘zero touch’ fulfillment
- Locus Robotics unveiled Locus Array, a system using AI and robots for high-density storage and throughput.
- Locus Array combines an autonomous mobile robot with a tower and a custom-developed picking arm for efficient retrieval from shelves.
- The robotic picking arm allows for picking from narrow aisles and adds a third dimension to Locus' robotic picking.
- Locus Array can automate various fulfillment processes and aims to eliminate 90% of labor in warehouses.
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