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Robotics News
Unite
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Andy Byrne, Co-Founder & CEO of Clari – Interview Series
- Andy Byrne is the CEO of Clari, which offers a revenue platform to help companies run their sales processes and revenue operations efficiently, increase productivity, and improve revenue forecasting accuracy.
- Clari is now a leader in AI-powered revenue orchestration and revenue operations, with 1,500 clients trusting the service to help drive predictable revenue performance at scale.
- Before founding Clari, Byrne was part of the founding team at Clearwell Systems, which grew from pre-product and pre-revenue in 2005 to a $100m run rate until its acquisition by Symantec in Q2 2011.
- Clari uses AI and machine learning models to uncover revenue risks and opportunities and, with predictive insights, it delivers precise revenue forecasts that enable smarter, data-driven decisions across the business.
- Clari empowers go-to-market teams with control over every revenue moment, and its AI-powered insights can detect pipeline risks, deliver accurate forecasting, and highlight upsell and cross-sell opportunities.
- AI is at the core of Clari's platform, and Clari's customers have increased by 330% in the past three years.
- An AI council is crucial for organizations looking to dominate in revenue orchestration as it breaks down silos and anticipates things like risk, ethics, and data privacy.
- The future of revenue operations sees AI taking action on routine tasks, course-correcting strategies, and optimizing revenue flow.
- Clari is pioneering a new way for predictive and self-driving revenue holistically and to build a fully interoperable data ecosystem that defines what’s possible for revenue-critical teams.
- Clari offers businesses greater efficiency and productivity with precise revenue forecasting at every level for enterprise giants like Workday, Adobe, and Palo Alto Networks.
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The Robot Report
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Image Credit: The Robot Report
Beyond ground transportation: The rise of drone logistics
- Drone logistics is an economical and effective method for quick deliveries.
- Companies like Wing and Flytrex are using autonomous drones for last-mile delivery.
- Drones have been successfully used for delivering medical supplies and medication in remote regions.
- Drone integration can significantly reduce delivery times and lower costs.
- The drone logistics and transportation market is expected to grow at a compound annual growth rate of 51% from 2025 to 2037.
- Robotics developers are improving autonomy and navigation, battery efficiency, regulatory compliance and swarm technology to make drone systems more efficient.
- Drone logistics can revolutionize supply chains, healthcare delivery, and urban transportation.
- Innovators such as Zipline have already demonstrated the success of drones in delivering medical supplies, including vaccines, blood, and medication.
- Drones can transform global transportation and logistics networks.
- 79% of consumers are likely to select drone delivery due to its effectiveness and quickness.
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The Robot Report
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binder introduces M16 connectors with compact design, high sealing performance
- Binder USA LP has introduced a new generation of molded M16 connectors, designed for reliability and performance in demanding environments.
- The connectors are modular and designed to meet diverse requirements, ensuring stable and reliable connections in extreme conditions.
- The redesigned M16 connectors have a reduction in components and use a modular system, allowing for more efficient production without compromising quality.
- The triangular design of the connectors makes them easy to handle, even in sub-zero temperatures or when wearing gloves.
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The Robot Report
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Image Credit: The Robot Report
Rethink Robotics announces female-led leadership team
- Rethink Robotics relaunched with a new line of collaborative robot arms, autonomous mobile robots, and a mobile manipulator.
- Julia Astrid Riemenschneider has been appointed as the chief executive officer, and Franziska Lorenz is the chief operations officer.
- Top priorities for the new leadership team include delivering innovative technologies in collaborative robots, expanding the team, and relocating robot production to the U.S.
- Rethink Robotics plans to triple its team size by the end of 2025 and open a U.S. headquarters.
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The Robot Report
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Project CETI uses AI and robotics to track down sperm whales
- Project CETI uses robotics and artificial intelligence to decode the vocalizing of sperm whales in the New England Coast.
- Researchers from Cetacean Translation Initiative can spend hours searching for an elusive sperm whale to surface.
- Project CETI aims to decode sperm whale vocalizations with their Autonomous Vehicles for Whale Tracking And Rendezvous by Remote Sensing (AVATARS) framework.
- The AVATARS framework is the first co-development of VHF sensing and reinforcement learning decision-making for maximizing the rendezvous of robots and whales at sea.
- This new study involved sensing devices such as Project CETI aerial drones that use VHF signals for estimating the direction of pings from CETI’s on-whale tags.
- With one of the widest global distribution of any marine mammal species, sperm whales are difficult to track down and learn from.
- Once the Project CETI researchers can track down the whales, they must gather as much information as possible during the short windows of time they spend on the surface.
- The research team tested the AVATARS framework in a controlled environment with devices that mimic whale behaviors and then in the real world.
- The team must try to gather data without disturbing wildlife and work mostly with drones and specially developed tags that latch onto whales and collect data.
- Outside of Project CETI, AVATARS can be utilized to protect sperm whales and other sea mammals in their natural environment. It could also be used to reroute ships away from sperm whale hotspots.
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Nasa
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Image Credit: Nasa
Astronaut Suni Williams and Astrobee
- NASA astronaut Suni Williams works with the Astrobee robotic free-flyer in the Kibo laboratory module.
- The Astrobee robots assist astronauts in reducing time spent on routine tasks, allowing them to focus on unique human abilities.
- These robots can work autonomously or be controlled remotely by astronauts, flight controllers, or researchers on the ground.
- They are designed to perform various tasks like inventory-taking, documenting experiments, and moving cargo on the space station.
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Nvidia
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Image Credit: Nvidia
Latest NVIDIA AI, Robotics and Quantum Computing Software Comes to AWS
- NVIDIA and Amazon Web Services (AWS) have implemented a range of solutions focusing on AI, robotics and quantum computing breakthroughs and research at the AWS re:Invent conference in Las Vegas.
- DGX Cloud AI computing platform is now available and powered by flexible terms, a fully managed solution and direct access to NVIDIA experts to help companies scale their AI capabilities.
- AWS is deploying liquid-cooled data centers that feature configurable liquid-to-chip cooling for rack-scale AI, including the next-generation NVIDIA Blackwell platform.
- AWS now supports NVIDIA Isaac Sim on Amazon EC2 G6e instances, with the Isaac Sim pipeline further accelerated via OpenUSD NIM microservices, so robotics companies can simulate and validate the performance of their robots pre-deployment.
- NVIDIA BioNeMo NIM microservices and AI Blueprints have been integrated into AWS’ HealthOmics, a fully managed biological data compute and storage service designed to accelerate scientific breakthroughs in clinical diagnostics and drug discovery.
- NVIDIA’s latest AI Blueprints are accessible to use for real-time applications like video search and summarisation agents, with AWS and NVIDIA applying the NVIDIA AI Blueprint for vulnerability analysis in continuous integration pipelines on AWS cloud-native services.
- NVIDIA CUDA-Q has been integrated with Amazon Braket quantum computing development, allowing developers to build hybrid quantum-classical applications and run them on numerous quantum processors.
- Global system integrators and leading software platforms are using NVIDIA AI on AWS to enhance AI inference solutions, conversational search assistants and embedded vectorised databases to drive innovation for enterprises at scale.
- NVIDIA IGX Orin and Jetson Orin platforms have now been integrated with AWS IoT Greengrass to support edge computing and deployment of AI models for managing fleets of connected devices at scale.
- Alongside NVIDIA’s AI revolution, the company is also working with AWS to develop quantum computing speeds, robotics applications, and liquid-cooled data centres to provide maximum performance and efficiency for running AI models.
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Nvidia
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NVIDIA Advances Physical AI With Accelerated Robotics Simulation on AWS
- NVIDIA Isaac Sim on Amazon Web Services is being used by robotics start-ups Field AI, Vention and Cobot to develop physical AI-driven robots, such as self-driving cars and humanoid robots.
- AWS announced that Isaac Sim is now available on Amazon Elastic Cloud Computing G6e instances that use NVIDIA L40S GPUs, to test AI-driven robots in virtual environments.
- The combination of NVIDIA-accelerated hardware and software on the cloud allow teams of any size to scale their physical AI workflows.
- Developers are currently using three computers for training, simulation and inference to make progress with physical AI systems, though it's costly to test datasets in the real world.
- Simulation can significantly accelerate the training, testing, and deployment of AI-driven robots, and Amazon EC2 G6e instances using NVIDIA L40S GPUs can help.
- The instances accelerate the tech with a 2x performance gain over the previous architecture, shareable across various tasks from data generation to simulation to model training.
- Isaac Sim has gained an open-source robot learning framework called Isaac Lab, which provides a virtual training ground for building robot policies that can run on AWS Batch.
- Cobot is using Isaac Sim and its AI-powered assistant, Proxie, to optimize logistics in warehouses and other environments.
- Field AI is using Isaac Sim and Isaac Lab to evaluate where its robot foundation models are most likely to be adopted across industries such as construction, manufacturing, oil and gas or mining.
- Vention is harnessing Isaac Sim for developing and testing new capabilities for robot cells used by small- to medium-sized manufacturers.
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The Robot Report
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Image Credit: The Robot Report
AWS offers accelerated robotics simulation with NVIDIA
- NVIDIA and AWS are offering tools to accelerate the development of robotics, quantitative computing and AI.
- NVIDIA Isaac Sim, a reference application built on NVIDIA Omniverse, is now available on NVIDIA L40S GPUs in Amazon Elastic Cloud Computing (EC2) G6e instances.
- This enables developers to simulate and test AI-driven robots in physically based virtual environments, allowing roboticists to use these instances to train many computer vision models that power AI-driven robots.
- The same instances can also be used for data generation and simulation of model training, and teams can orchestrate complex robotics development workflows.
- Developers may use simulation to verify, validate and optimise robot design as well as systems and algorithms before deployment, the company said.
- Simulation reduces costly manufacturing and construction change orders by optimising facility and system designs.
- NVIDIA said Isaac Sim can help generate synthetic data for perception model training, easing the synthetic data generation process by reducing many tedious and manual steps.
- The NVIDIA DGX Cloud is now available on Amazon for training AI models, while NVIDIA BioNeMo has been integrated into AWS HealthOmics.
- Other NVIDIA announcements include integrating AI blueprints and the RAPIDS quick start notebooks on Amazon EMR.
- Developers could also use Isaac Lab, an open-source robot learning framework built on Isaac Sim, to build robot policy for AWS Batch that will be repeated and easily troubleshooted.
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Unite
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The Role of Semantic Layers in Self-Service BI
- Semantic layers serve as a bridge between data infrastructure and business users. They ensure data consistency, simplify data processing, and establish relationships between data entities.
- Semantic layers help businesses get deeper insights, make informed decisions, improve customer experience and enhance operational efficiency.
- A semantic layer is a key enabler for self-service business intelligence across organizations.
- With well-organized and accessible data, business users can create their own reports and dashboards, reducing reliance on IT and promoting agile decision-making.
- Integrating a semantic layer into data infrastructure improves data accuracy and speeds up analysis. It helps organizations respond to market changes in a timely and data-driven manner.
- By breaking down data silos and promoting cross-functional collaboration, semantic layers help foster knowledge sharing and a more unified approach to problem-solving.
- Semantic layer adoption is growing as businesses seek to democratize data, eliminate ambiguity and streamline operations with a solid data management strategy.
- Without a semantic layer, businesses may struggle with data consistency and quality issues, data silos, and time-consuming data extraction processes.
- Semantic layers are evolving as they become more integrated with data warehouses, making data more accessible and allowing systems to work together more smoothly.
- The future of semantic layers is focused on faster, smarter decisions and helping organizations stay agile and scale efficiently.
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Unite
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Image Credit: Unite
Alex Yeh, Founder & CEO of GMI Cloud – Interview Series
- GMI Cloud was founded in 2021 with a focus on building and operating data centers to provide Bitcoin computing nodes.
- GMI Cloud recently secured $82 million in Series A funding, which will be used to open a new data center and invest in H200 GPUs.
- The company aims to simplify AI infrastructure, making it accessible, cost-effective, and scalable for organizations of all sizes.
- GMI Cloud uses NVIDIA’s NCP to provide it with priority access to GPUs and other cutting-edge resources, allowing for 2x the speed compared to competitors.
- GMI Cloud operates globally, with network of IDCs around the world, providing customized solutions tailored to each region's unique needs.
- Challenges for AI infrastructure include scalability and costs, energy and sustainability, security and privacy, and interoperability.
- Long term vision of GMI Cloud is to create an accessible platform for AI that powers the future worldwide.
- Strategic goals of GMI Cloud include establishing a strong presence in the US market and enhancing service offerings.
- Advice for startups adopting AI infrastructure is to partner with trustworthy technology providers who offer reliable and scalable GPU solutions.
- GMI Cloud plays a significant role in simplifying AI infrastructure for businesses and providing them with necessary cloud infrastructure and management system which will aid the development and deployment of AI solution faster, cheaper, and more accessible for everyone.
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Unite
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Image Credit: Unite
Claude Feature Enables Customized Writing Styles
- Anthropic has released a new feature that enables users to train their own machine learning assistant with their preferred writing style.
- The AI is called Claude, and it uses multi-layer pattern recognition to understand the way people communicate, looking at sentence structure and length, as well as word choice patterns and structural organization preferences.
- The system comes with three preset styles, including 'formal' for polished and professional communications, 'concise', for straight-to-the-point messages, and 'explanatory' for information-heavy messages.
- Users can train Claude to understand their own unique writing quirks and how they balance technical depth with accessibility.
- As well as enabling users to train an AI that can copy their own style, the tools used in Claude could have further implications in understanding cross-cultural communications.
- Future AI development could see its application in areas including medical diagnostics that adapt to different patient communication needs, financial systems that match reporting styles across different regulatory frameworks, legal AI that can switch between different jurisdictional writing requirements, and educational systems that automatically adjust to individual learning patterns.
- Claude analyzes writing samples to understand the deeper structure of communication – the subtle patterns that make your writing uniquely yours.
- The system can replicate human communication patterns in the writing style, surface layer, structural layer, and contextual layer.
- Anthropic has built Claude to match an individual's natural communication patterns, rather than forcing individuals to adapt to AI communication.
- The system processes samples through advanced pattern recognition, learning from your writing patterns to create a more authentic replication of your communication style.
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Arstechnica
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Image Credit: Arstechnica
Cheerios effect inspires novel robot design
- Researchers have designed tiny ethanol-powered robots inspired by the 'Cheerios effect'.
- The robots use the propulsive flow created by gradients in surface tension on liquid surfaces.
- Ethanol is used instead of soap to extend the effect, as ethanol evaporates rather than saturating the water.
- By exploiting the 'Cheerios effect', the robots can self-assemble into clusters for various industrial or environmental tasks.
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The Robot Report
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Image Credit: The Robot Report
Clearpath Robotics discusses development of Husky A300 ground vehicle
- Clearpath Robotics has released the Husky A300, a more rugged and longer-enduring version of its flagship mobile robot for research and development. The system's speed, weather resistance, payload capacity, and runtime have all been improved compared to the A200. The A300 can carry payloads up to 100kg, has a runtime of up to 12 hours and can reach speeds of 2ms, 4.4 mph.
- The robot's hardware comprises four brushless motors, making it twice as fast as the previous version, as well as more flexible and capable of withstanding of industrial environments or extreme temperatures outdoors. It also now has an IP54 rating against dust and water.
- The robot also includes ROS 2 Jazzy plus Nav2, MoveIt 2, and other developer utilities, making it easier for non-expert customers of varied robotics experience levels to use it.
- Clearpath Robotics is offering a turnkey version of the robot called the Husky AMP, an autonomous mobile platform that comes with everything needed for navigation pre-installed and configured OutdoorNav software, a web-based user interface, and an optional wireless charging dock.
- Clearpath Robotics reports the A300 has undergone testing in various weather conditions and will consider variant drive trains such as tracks for softer terrain or segmented wheels.
- The robot is being used in numerous outdoor applications from robots that herd animals to inspecting sites such as solar farms. It is primarily aimed at developers rather than end-users.
- Rockwell Automation acquired Clearpath Robotics in 2019, and the integration has gone well so far, with Rockwell's procurement team easing access to components and manufacturing, according to Clearpath technology director Robbie Edwards.
- Further enhancing the robot platform is just one example of the huge potential for robotics in industry.
- As the Husky A300 can carry different sensor payloads and robotic arms, it has a wide range of uses, such as replacing humans in industries with hazardous working conditions, including inspecting pipelines and monitoring the progress of construction sites.
- The company surveyed its client base, with developers finding a wide range of use cases; Clearpath reports receiving lots of interest in mobile manipulation with its Ridgeback omnidirectional platform, which is also finding uses outside in applications such as changing tires on outdoor UGVs.
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Medium
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Image Credit: Medium
Rex: My Journey Creating an AI-Powered Line-Following Robot
- Rex is an AI-powered line-following robot designed to think its way through mazes.
- The robot was meticulously designed using Fusion 360 and brought to life through 3D printing.
- Rex overcomes challenges and learns from them, showcasing the future of robotics.
- Future upgrades for Rex could include new features and functionalities.
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