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Robotics News
The Robot Report
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Fulcrum provides inspection data pipeline for Cantilever analysis, explains Gecko Robotics
- Gecko Robotics has launched its Fulcrum software for data acquisition and quality for robotic inspection and maintenance of large structures and critical infrastructure.
- Fulcrum analyzes data from various sources with its API for robots to ensure high-fidelity foundation models.
- Fulcrum gathers data from all types of robots and sensors to accelerate data layers for Cantilever enterprise software.
- The Cantilever operating platform from Gecko Robotics uses artificial intelligence and robotics for data analysis and fast decision-making.
- Gecko Robotics has collected millions of data points using its subject-matter expertise to validate its framework.
- Fulcrum aims to provide higher-level analytics at the edge for infrastructure health and capex optimization.
- Gecko Robotics believes in democratizing data and is partnering with companies to provide customized real-world impacts within 90 days.
- Fulcrum has the ability to offer relevant information for the growing scarcity of qualified people for automated repairs and cleaning.
- The Fulcrum and Cantilever software can help built structures and mining companies understand the state of their assets.
- Fulcrum and Cantilever can predict when critical infrastructure like a tank would leak, a bridge collapse or a naval vessel needs a modernisation.
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COSMOS
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Chinese Mars rover finds evidence of ancient sea’s shoreline
- Sedimentary mineral deposits analysed by the Chinese Zhurong Mars rover appear to have been left by an ancient sea 3.5 billion years ago.
- The rover landed on Mars in May 2021 and has been analysing deposits in the Vastitas Borealis, a low-lying plain in the northern hemisphere.
- Researchers used elevation data and geochemical analysis to estimate surface ages and found features consistent with a nearshore zone and flooding about 3.68 billion years ago.
- Future missions may be able to confirm the existence of the ancient Martian ocean.
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Unite
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MIT Research Team Engineers Quantum Solution to Computing’s Energy Problem
- A research team at MIT has developed a three-dimensional transistor design to circumvent the physical constraint, the fundamental limitation to the conventional method of semiconductors through what researchers call the 'Boltzmann tyranny', setting a minimum voltage requirement for silicon transistors to operate efficiently
- By using quantum mechanical properties, these new transistors employ quantum tunneling where electrons pass through energy barriers rather than climbing over them at lower voltage levels.
- These new transistors use a unique combination of materials such as gallium antimonide and indium arsenide, to break the constraints that silicon-based designs are limited by, representing a fundamental shift in semiconductor engineering with vertical nanowires harnessing quantum mechanical properties while maintaining exceptional performance characteristics.
- The new design uses quantum tunneling, combined with a precise architectural design, to allow the transistors to operate at significantly lower voltages while maintaining high performance levels.
- With the potential to replace more traditional, much less energy-efficient components, the new quantum-enhanced transistors could lead the push towards more energy-efficient computing solutions and reshape electronic device design.
- The potential benefits may include significant reduction in power consumption for data centers and high-performance computing, enhanced processing capabilities for AI, and machine learning applications, smaller, more efficient electronic devices across all sectors, reduced environmental impact from computing infrastructure, and higher density chip designs.
- The challenge now is to improve fabrication uniformity across entire chips, explore alternative designs, scale up production capabilities, address manufacturing consistency at nano-meter scales and optimize material combinations for commercial viability.
- The post points out that although progress in taking these quantum-enhanced transistors from the lab to practical implementation presents challenges, the breakthrough provides a promising direction for addressing the growing computational demands of our digital age.
- There is significant commercial interest and major industry investment in advancing this technology, including from Intel Corporation, which partly funded this research.
- MIT researchers have opened up new possibilities with the quantum-enhanced transistors for energy-efficient computing that could transform the industry and meet the escalating needs of modern computing while significantly reducing energy consumption.
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Marktechpost
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Researchers from Stanford and Cornell Introduce APRICOT: A Novel AI Approach that Merges LLM-based Bayesian Active Preference Learning with Constraint-Aware Task Planning
- APRICOT is a novel approach that combines personalized robotic execution with preference learning and constraint-aware planning,
- This comprehensive solution integrates an LLM-based Bayesian active preference learning module, a VLM that translates visual demonstration into language-based instructions, and a constraint-aware task planner,
- APRICOT addresses the challenge of executing personalized organizational tasks, requiring robots to balance user preferences with physical constraints while avoiding collisions and maintaining stability,
- Combining efficient active preference learning with real-world execution capabilities, APRICOT can effectively handle the ambiguity in preference inference and physical constraints in planning processes,
- APRICOT achieved 58.0% accuracy rate in active preference learning, requiring 71.9% fewer queries compared to LLM-Q/A and 46.25% fewer queries than Cand+LLM-Q/A,
- The system maintained impressive performance with 96.0% feasible plans and 89.0% preference satisfaction rates in challenging scenarios while adjusting plans in response to environmental changes,
- While APRICOT represents a significant advancement in personalized robotic tasks, an active preference learning component's limitations need further improvement to handle specific, nuanced user preferences,
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Medium
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High-Rise Maintenance Enters the Age of AI and Robotics
- The integration of AI, ML, and robotics in high-rise maintenance redefines labor safety standards by taking humans out of high-risk environments and leveraging machines to handle hazardous tasks with precision.
- Developing and maintaining AI-powered robots involves complex processes and cross-functional collaboration, essential for effective planning and execution.
- AI and ML enhance the adaptability of robotics, enabling them to adjust to diverse building structures and environmental conditions.
- High initial costs, energy requirements, regulatory standards, and the need for specialized skills are key factors influencing the adoption of AI-driven maintenance solutions.
- AI for data-driven decision-making, robotics for precision, and ML for continuous improvement-can be applied to other high-risk maintenance and industrial tasks, opening doors for further innovation.
- Automation in building maintenance has been a growing trend, particularly with the increasing demand for high-rise buildings in urban landscapes.
- AI algorithms processed vast amounts of visual and spatial data, allowing robots to “see” and understand their environment, adjust to various building surfaces, and perform tasks with high accuracy.
- The development cycle of an AI-powered robotic system demands close coordination among cross-functional teams: engineers, data scientists, designers, and testers.
- One of the critical benefits of robotics in high-rise window cleaning is the ability to perform tasks consistently across various environments.
- AI’s predictive capabilities also support the transition to a more sustainable, resource-conscious approach to maintenance.
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The Robot Report
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Enduring the elements: encoder solutions for extreme field robotics
- Field robotics OEMs are innovating solutions to address skilled labor gaps and improve efficiency and safety in industries like agriculture, mining, construction, and search and rescue.
- Celera Motion is hosting a webinar on December 5, 2024, to discuss enduring the elements in extreme robotics and the use of their inductive encoders for precise measurement feedback and reduced operational disruptions.
- The webinar will explore how field robotics endure harsh conditions, ensure data precision, and minimize downtime for reliable operations in challenging and unpredictable environments.
- Speakers at the webinar include Jake Lantner, Application Engineer at Novanta, specializing in integrating components for demanding applications, and Steve Crowe, Executive Editor of The Robot Report.
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The Robot Report
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ROAMEO specs revealed by AITX RAD as company marks 1,000 security systems
- Robotic Assistance Devices Inc. (RAD) has announced specifications for its latest ROAMEO wheeled security robot, Gen 4, which has capabilities for enhanced security and concierge services as well as artificial intelligence integration. RAD devices can autonomously patrol large areas such as corporate, college, and university campuses; ROAMEO Gen 4 builds on earlier models and includes autonomous recharging and a software architecture created around AITX's proprietary Autonomous Intelligent Response technology. RAD has also celebrated its deployment of 1,000 devices.
- The rise of this type of robot signifies an untapped market, with deployment of ROAMEO being tedious, expensive, and sometimes dangerous work for human security personnel. RAD's autonomous device alleviates these issues and enables campus security teams to extend their presence without expending additional resources, increasing ROI for companies using the technology. ROAMEO Gen4 can also make a positive financial impact, with RAD estimating that just 25 deployments can generate a return.
- ROAMEO Gen 4 features lidar, radar, vision, microphones, and ultrasonic sensors and weighs 1,609 lb with a height of 6.9 feet, a width of 5.5 feet, and a length of 8.4 feet. Its sensors also give it a clear line of sight over vehicles and people in high-traffic areas for advanced detection and person/vehicle engagement. RAD claimed that ROAMEO Gen4 would be capable of SAE Level 5 autonomous operation in weather including rain and snowstorms.
- RAD's achievement and milestone in surpassing 1,000 deployed and contracted security devices validate the company's role in transforming the security landscape, with RAD's security systems being chosen by clients to address their most pressing security needs. RAD maintains a prospective sales pipeline of more than 35 Fortune 500 companies and numerous other client opportunities.
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Unite
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How Google’s AlphaChip is Redefining Computer Chip Design
- Google has developed an innovative solution for designing computer chips that is capable of keeping pace with the advancements of AI algorithms
- AlphaChip, an AI model that approaches chip design as a game, helps to create more powerful and efficient chips for Tensor Processing Units (TPUs)
- AlphaChip uses deep reinforcement learning to guide its moves based on rewards, placing each circuit component one by one and adjusting as it goes
- One of AlphaChip’s most powerful features is its ability to learn from past designs (called transfer learning), improving its placements with each layout it creates
- AlphaChip’s role has been vital in the design of Google’s TPU chips, enabling Google to keep scaling up AI models to support advanced systems like Gemini, Imagen, and Veo
- AlphaChip allows intelligent systems to take over the complex aspects of chip design, making it faster, more accurate, and sustainable
- The challenges of AI-driven chip design include the immense computational power required to train AlphaChip and the necessity of human oversight to catch important details
- As sustainability becomes a core focus in tech development, AlphaChip signifies a crucial step toward eco-friendly hardware solutions
- AI-driven chip design is becoming the new industry standard and could lead to significant advancements in chip performance, efficiency, and cost
- AlphaChip has grabbed the attention of other industry leaders, including MediaTek, which aims to speed up its development cycles and boost the performance and energy efficiency of its products.
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Unite
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Dhiren Bhatia, Co-Founder & CEO of Inventive AI – Interiew Series
- Dhiren Bhatia is the Co-Founder & CEO of Inventive AI, an AI-powered RFP and questionnaire response management platform.
- Inventive AI is an AI-powered platform designed to streamline and optimize the response process for RFPs and questionnaires.
- The RFP outlines the project requirements, objectives, and evaluation criteria, allowing qualified vendors to submit detailed bids on how they plan to meet the organization's needs.
- Inventive AI significantly improves the efficiency of sales response workflows, driving over 70% efficiency gains for businesses.
- Through conversations and interviews with dozens of companies, Inventive AI validated that the pain points of the RFP process were widespread.
- Inventive AI tackles key pain points in the RFP process such as manual, time-consuming effort; managing content and knowledge; strategic responses; collaboration across teams; compliance and risk management with advanced AI technology.
- RFP management is often overlooked in digital transformation initiatives because they are seen as administrative or transactional tasks rather than strategic opportunities for innovation.
- Inventive AI goes beyond answering questions to dynamically leverage enterprise-wide knowledge and use advanced AI to generate strategic, high-quality responses, significantly increasing win rates.
- Customers report that they complete the RFP process 70% faster than before allowing them to take on more opportunities without sacrificing quality.
- Inventive AI’s suite of specialized AI agents automate critical tasks such as conducting competitive analysis, brainstorming response ideas, and detecting stale or outdated content.
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Unite
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3 Steps for Retailers to Generate and Capture Value from AI Investments
- Retailers are turning to AI for competitive advantage in an increasingly competitive market. However, many retailers are still struggling to see tangible returns on their AI investments. To create value for customers and capture value for themselves, retailers must approach AI strategically with a three-step process for unlocking value creation and value capture. The first step is to mature data into a strategic asset, as high-quality data is essential for successful AI implementation. The second step is to encourage a culture of experimentation to test and refine AI-driven initiatives that directly benefit customers. The final step is to build out the ecosystem by partnering with technology providers, brands, influencers, content creators, and even other retailers to create new revenue streams and strengthen their market position.
- Retailers must integrate data from various sources, standardize it, ensure accuracy and completeness, and implement robust data governance practices to create a strategic asset. Accurate forecasting is crucial for retailers to optimize inventory levels, reduce waste, and meet customer demand.
- Retailers must run targeted experiments to identify which AI applications truly resonate with their customers and drive loyalty without committing to large-scale implementations prematurely. Collaboration among business and technology stakeholders is necessary as the experiment evolves from concept to reality to help retailers stay agile as market conditions change.
- Retailers can create new revenue streams, enhance their offerings, and strengthen their market position by building out their ecosystem, which could include technology providers, brands, influencers, content creators, and even other retailers. A retailer might collaborate with a computer vision company to create an AI-powered visual search tool to find products. Influencer marketing is another area where AI and ecosystem building intersect. Retailers can use AI to identify and analyze the most effective influencers for their brand.
- Retailers must carefully navigate issues of data privacy, competitive dynamics, and brand alignment to create a cycle in which value created for customers through AI initiatives can be effectively captured and monetized by the retailer and its ecosystem partners.
- A strategic approach to AI implementation allows retailers to move beyond the hype and toward practical, results-driven applications. Skillfully balancing value creation and value capture in AI initiatives turns technological potential into a competitive advantage.
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Unite
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Thesys Raises $4M to Transform AI-Driven User Interfaces with Adaptive ‘Generative UI’
- Thesys raises $4M in seed funding to transform AI-driven user interfaces with adaptive 'Generative UI'.
- Thesys aims to redefine user interactions with AI by creating adaptive interfaces based on individual behavior and preferences.
- Their platform allows teams to ideate, visualize, and launch AI-driven interfaces that are fluid, intuitive, and powerful.
- Thesys plans to introduce a UI SDK to integrate adaptive interfaces into applications, meeting the demand for responsive user interactions in an AI-driven world.
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Robotsblog
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Geek Club and CircuitMess in Partnership with Warner Bros. Discovery Global Consumer Product Launch Rick and Morty™ Butter Bot
- Geek club and CircuitMess have come together to launch the Butter Bot, an AI-powered robot that is inspired by the one made famous in the Rick and Morty TV show and has been officially licensed by WBDGCP.
- Geek Club focuses primarily on space exploration and robotics, whilst CircuitMess develops educational kits that encourage adults and children to create and to learn and move beyond consuming products.
- The Butter Bot robot comes with a unique remote controller that allows for easy-maneuvering, a live feed camera, and advanced AI capabilities, making it an excellent tool for any setting.
- The partnership between CircuitMess and Geek Club aims to manufacture educational STEM DIY robotic kits for people of all ages to make learning engineering skills fun.
- The innovative Butter Bot has been created to merge humor and functionality, the robot is a versatile companion intended to resonate with fans and tech enthusiasts alike.
- Geek Club and CircuitMess have started this project after the success of their previous NASA Perseverance AI-powered Mars Rover Kickstarter campaign.
- The Butter Bot Kickstarter campaign provides backers with exclusive early-bird pricing and special rewards.
- The two companies collaborate on the Butter Bot robot, bringing a beloved character from Rick and Morty into the crowd in a fun and epic way that provides an educational experience for fans of all ages.
- WBDGCP extends Warner Bros's portfolio of franchises around the world and partners with top licensees at a global level on named toys, fashion, home decor, and publishing programs that are influenced by some of the biggest franchises from HBO, Discovery, DC, Cartoon Network, HGTV, Eurosport, Adult Swim, and more.
- Geek Club aims to create electronic construction kits for curious minds worldwide that are inspired by NASA and other space agencies and hope to push fans' minds farther, strengthen their skills, and enhance their understanding of electronics and space.
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TechCrunch
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Ulysses is using robots to restore seagrass populations
- Ulysses Ecosystem Engineering, a San Francisco-based startup, is using robots to restore seagrass populations.
- The robot can plant seagrass seeds in specific areas of the ocean floor, and has accelerated the restoration process by 100x compared to manual methods.
- The company was founded in 2023, after CEO Akhil Voorakkara heard of a group of volunteers having a difficult time planting seagrass. Through building a robot to do the job, the team has since earned nearly $1m in revenue from private companies and government organisations.
- Ulysses now aims to further expand the robot's capabilities, with tests starting this month around seed harvesting from approved seagrass beds.
- The company recently announced a $2m pre-seed funding round, led by Lowercarbon Capital, to add to its current team of five engineers.
- Ulysses plans to move beyond seagrass restoration, using autonomous robots connected to a central platform for coastal management, security and other restoration projects.
- The company's timing is good, as many governments are increasingly putting emphasis and urgency on restoring seagrass meadows.
- Terradepth and Eelume are other large companies operating in similar spaces, using underwater robots to map the ocean floor and focus on ocean discovery, respectively.
- Ulysses hopes to manage hundreds of kilometres of coastline and empower groups such as NOAA in the next five years.
- This would bring innovation and technology to an 'extremely difficult domain' where 'there is not a lot of novel technological solutions', said co-founder Will O'Brien.
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Robotsblog
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Wandelbots presents NOVA: The world’s first agnostic operating system for robots
- Wandelbots has launched NOVA, an agnostic operating system (OS) designed to make industrial automation accessible and to reduce costs.
- NOVA supports modern development tools like Python and JavaScript, with a Plan, Build, and Operate approach that simplifies the entire automation lifecycle with AI technologies at its core.
- As an open ecosystem, NOVA will work across hardware components from various manufacturers, making them accessible within one unified operating system.
- NOVA's advanced and vendor-independent programming language comes at a crucial time as outdated programming languages and a lack of skilled labour have prevented robotics from reaching its full potential, especially in smaller companies.
- NOVA opens up new opportunities for companies to leverage automation and for software developers to unleash their creativity in a new industry
- NOVA was developed with four key objectives: to support revenue growth, optimize operations, reduce costs and risks, and improve usability.
- Intuitive frontend applications and a unified user interface make it easier than ever for employees to interact with robots through NOVA without requiring technical knowledge.
- Realistic simulation with digital twins offers investment protection, allowing developers and operators to create physically accurate simulations of robots, factories, and movable workpieces before real-world deployment.
- NOVA marks a turning point in the world of industrial automation and promises to democratise robotics and create new ways for software developers to commercialise.
- NOVA is available to users in its open beta phase, with those interested being able to register on the Wandelbots website.
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Insider
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Nvidia robotics executive tells BI how the company is predicting the future of robotics by building it
- Nvidia's Rev Lebaredian leads simulation and omniverse efforts for robotics development.
- Nvidia's strategy involves anticipating tech trends, building tools, and enabling innovation.
- Lebaredian is in charge of building robot brains and creating a virtual world for robots to practice tasks and learn.
- Nvidia aims to replicate the success of large language models like GPT with its robotics simulation project called Project Groot.
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