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Robotics News
The Robot Report
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BurgerBots opens restaurant with ABB robots preparing fast food
- ABB Robotics and BurgerBots have introduced a new restaurant concept in Los Gatos, Calif., utilizing ABB’s robots for fast-food meal assembly and stock monitoring.
- The integration of ABB robots in the BurgerBots concept highlights automation potential in the food service industry, enhancing consistency and efficiency.
- A Censuswide survey revealed that a significant percentage of hospitality workers are open to robotic integration to automate tasks and enhance dining experiences.
- Automation in restaurants can address staffing challenges, make jobs more sustainable, and improve workflows, according to ABB.
- BurgerBots' robotic systems emphasize speed, scalability, and quality in burger production, designed for high-traffic locations and efficiency.
- The integration of IRB 360 FlexPicker and YuMi robots in BurgerBots allows for quick burger assembly with intelligent inventory monitoring and hygienic processes.
- ABB Robotics envisions wider adoption of robotic automation in the food service industry, with BurgerBots as a step towards enhancing operational efficiency and decision-making in restaurants.
- Entrepreneur Elizabeth Truong foresees the widespread adoption of robotic automation in restaurants within the next five years, shifting from novelty to necessity.
- Collaborations like RoboEatz's autonomous robotic kitchen and Makr Shakr's robotic bartenders showcase ABB's role in transforming hospitality through robotics for speed and consistency.
- The BurgerBots restaurant with ABB robots signifies an innovative step in robotic automation within the food service industry.
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The Robot Report
4w
306
Epson adds GX-C Series with RC800A controller to its robot line
- Epson Robots introduces the GX-C series, featuring the RC800A controller and SafeSense technology for high performance and flexibility in a compact design.
- The GX-C series offers multiple arm configurations, GYROPLUS vibration-reduction technology, and Epson RC+ 8.0 for ease of use and optimized workcell throughput.
- Key features include high performance, fast cycle times, reliability, low total cost of ownership, and accelerated development of workcell applications with various reach options.
- The robots are built for demanding environments, offering service and support with automation experience.
- Epson's RC800A controller includes SafeSense technology for safe human-robot interaction without physical barriers, enhancing productivity and simplifying automation tasks.
- Epson will exhibit its systems at Automate 2025 in Detroit, showcasing the GX-C Series and other high-performance robots for various industries.
- Attendees can explore educational presentations, consult with Epson's expert teams, and witness real-world applications of robotics across industries.
- Sessions at the event will cover topics like robot ROI, future robotics breakthroughs, and applications by key partners in inspection, assembly, and motion plastics.
- The GX-C robots are now available through Epson Robots' distributor partners, offering advanced automation solutions for manufacturers.
- Epson focuses on combining ease of use, powerful performance, and safety features in its robotic systems to support safe human-robot interaction.
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Embedded
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346
What is the role of GMSL2 HDR cameras in outdoor AMR/ADAS-based systems?
- AMRs and ADAS systems rely on vision technology for navigation, object detection, and decision-making in complex environments with varied lighting conditions and moving objects.
- Challenges driving vision advancements include high-bandwidth requirements, long-distance data integrity, lighting variations, dynamic imaging needs, and multi-camera synchronization.
- Trends in vision technology for AMR and ADAS systems include high-resolution sensors, multi-camera integration, real-time processing, edge-based vision processing, and AI-driven scene interpretation.
- GMSL2 cameras enhance outdoor AMR/ADAS systems by enabling reliable, high-performance imaging with long-distance data transmission capabilities.
- GMSL2 technology reduces wiring complexity, supports high-bandwidth applications, and ensures uninterrupted data flow in environments with Electromagnetic Interference (EMI).
- GMSL2 cameras handle multi-stream transmission, synchronization, and platform scalability, making them ideal for automotive and robotic applications.
- HDR cameras in AMR/ADAS systems offer enhanced dynamic range, consistent imaging performance, improved detail visibility, and reduced image processing overhead in challenging lighting conditions.
- The synergy of GMSL2 and HDR cameras addresses operational challenges in outdoor environments, ensuring high-quality imaging and seamless data transmission for AMRs and ADAS systems.
- Future developments may focus on improving GMSL2 interfaces for higher resolutions, multi-camera synchronization, and expanding HDR technology to manage even more complex lighting conditions.
- GMSL2 and HDR cameras play a pivotal role in the future of vision technology for AMRs and ADAS by addressing bandwidth, lighting variability, and system scalability challenges.
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Unite
4w
22
Image Credit: Unite
How Patronus AI’s Judge-Image is Shaping the Future of Multimodal AI Evaluation
- Multimodal AI combines different types of data, like text and images, for enhanced insights, similar to human senses.
- Patronus AI's Judge-Image, utilizing Google Gemini, evaluates image-to-text models to improve accuracy.
- Multimodal AI benefits various sectors like healthcare, automotive, streaming services by processing diverse data simultaneously.
- Challenges for multimodal AI include data misalignment, contextual understanding, and biases.
- Judge-Image helps address these challenges by validating and enhancing accuracy in AI systems.
- AI hallucinations, like mislabeling images, can be corrected with tools such as Judge-Image that ensure textual and contextual alignment.
- Judge-Image positively impacts industries like eCommerce by refining AI-generated captions and improving search accuracy.
- It finds applications in marketing, legal services, and media for validating content accuracy and adherence to guidelines.
- Future enhancements for Judge-Image include support for audio and video content to evaluate complex multimedia AI systems.
- This tool sets a high standard for transparency and trust in AI systems, contributing to accurate and reliable image-to-text applications.
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Medium
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428
Image Credit: Medium
Designing and programming a high-speed differentially driven vehicle
- Designing and programming a high-speed differentially driven vehicle for an Electric Vehicle Science Olympiad event is a challenging robotics task.
- The new vehicle, the 'Nats kit', addresses accuracy issues by implementing a differential drive system with independently driven wheels for full position control.
- Key design decisions include selecting motors that optimize torque output within the power constraints and designing a custom frame for stability and weight considerations.
- Control systems involve utilizing encoders and an IMU for accurate position measurement, alongside PID controllers to minimize errors in lateral, axial, and heading movements.
- Calibrating MEMs sensors, implementing feedforward terms in PID controllers, and employing gain scheduling are crucial for smooth and precise vehicle operation.
- Strategies for reducing wheel slippage, such as implementing acceleration curves and scaling motor powers, are essential for minimizing numerical integration errors.
- The vehicle's software-driven aiming capability allows for more linear results by leveraging the lateral and axial controllers for precise targeting.
- The implementation of various control theory concepts and techniques culminates in an accurate and high-speed Electric Vehicle design suitable for competition.
- Understanding PCB design and sensor integration, as well as utilizing GitHub repositories for code sharing, are highlighted as resources for creating similar projects.
- Overall, the meticulous planning and execution involved in designing and programming such a vehicle exemplify the complexity and precision required in competitive robotics.
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Brighter Side of News
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Image Credit: Brighter Side of News
Microscopic robots are transforming health, technology, and the environment
- Scientists are exploring the potential of microscopic robots in medicine, materials science, and environmental cleanup, with a focus on active matter and self-propelled particles.
- Stewart Mallory, a professor at Penn State, is researching active matter and how tiny swimmers behave in various environments to address significant challenges.
- Single-file diffusion (SFD) and the movement of particles in tight spaces are crucial for understanding the behavior of microscale machines like drug-delivering robots.
- Research by Mallory's team revealed insights into how active particles' mobility is linked to the compressibility of systems, aiding in designing better microscale devices.
- The study's findings on single-file diffusion behavior have practical implications for guiding micro-robots in medical applications for faster and more reliable therapies.
- Lessons from the behavior of microscopic swimmers like active particles can provide insights into various fields, from transportation to crowd control.
- Understanding and controlling the movement of Phoretic Janus particles through surface chemistry adjustments can lead to advancements in nanoparticle behavior and interaction.
- Self-propelled particles have the potential to revolutionize materials science and environmental cleanup, aiding in self-assembly processes and targeted delivery of treatments.
- Mallory's research shows that active matter could play a significant role in addressing environmental challenges by targeting microplastics and cancer cells, among other applications.
- Simulating particle behavior in diverse environments is crucial for designing microscale devices and advancing knowledge in chemistry, physics, and engineering.
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Pymnts
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Image Credit: Pymnts
Report: UPS Considering Partnership With Robotics Startup Figure AI
- UPS and Figure AI are reportedly considering a partnership in which the robotics startup’s humanoid robots would perform some tasks in the logistics company’s operations.
- Discussions between the two companies are ongoing, Bloomberg reported Monday (April 28), citing unnamed sources.
- The functions that would be performed by the robots in a potential partnership is not clear, the report said.
- Figure AI, a robotics startup, raised $675 million in a Series B funding round in February and announced a collaboration agreement with OpenAI and Microsoft.
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Mit
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231
Image Credit: Mit
Merging design and computer science in creative ways
- MIT MAD Fellow Alexander Htet Kyaw merges design and computer science to create innovative solutions using AI, AR, and robotics.
- His project, Curator AI, streamlines furniture shopping through context-aware product recommendations using AI and AR.
- Another creation, Estimate, uses AR and object-recognition AI to provide cost estimates for renovations and paint jobs for small businesses.
- Kyaw's work extends to projects like Unlog, integrating AR with gesture recognition to design structures sustainably.
- He has also developed systems for building structures with bamboo poles using physics simulation and AR.
- Kyaw founded BendShelters to create prefabricated bamboo shelters for refugees in Myanmar, addressing climate change and poverty.
- Collaborating with MIT Center for Bits and Atoms, Kyaw aims to build objects using speech recognition, generative AI, and robotic arms sustainably.
- His research vision is to enable natural interactions between humans, machines, and the environment through technology.
- Kyaw's diverse projects combine creativity, technology, and social impact, showcasing the potential of merging design and computer science.
- His innovative solutions demonstrate the power of interdisciplinary collaboration in creating meaningful advancements.
- Kyaw's contributions have been recognized through various awards and funding initiatives, reflecting his commitment to using technology for social good.
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Pymnts
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Image Credit: Pymnts
Amazon-Backed Glacier Raises $16 Million for AI-Powered Recycling Robots
- Glacier has raised $16 million in a Series A funding round to scale its AI-powered recycling robots.
- The robots are currently used in recycling centers across major U.S. markets and will soon be added in Seattle.
- Glacier's machines can sort 45 items per minute using computer vision and robotic arms.
- The funding round was led by Ecosystem Integrity Fund and included participation from Amazon's Climate Pledge Fund.
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TechCrunch
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Image Credit: TechCrunch
Hugging Face releases a 3D-printed robotic arm starting at $100
- Hugging Face releases a programmable, 3D-printable robotic arm called the SO-101.
- The arm is an improved version of the previous SO-100 and starts at $100.
- It can be trained using reinforcement learning and features improved motors.
- Hugging Face is expanding its robotics efforts and recently acquired Pollen Robotics.
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The Robot Report
4w
209
Glacier brings in $16M and announces new Recology King deployment
- Glacier, a company utilizing AI and robotics for recycling, has secured $16 million in Series A funding and deployed its robots at Recology’s MRF in Seattle.
- The funding will be used to enhance the scalability and speed of Glacier’s hardware, making its robots more efficient and quicker to deploy.
- Glacier's robots identify and sort over 30 types of materials which include PET plastic, aluminum cans, and specific packaging like toothpaste tubes.
- The Ecosystem Integrity Fund led the funding round, with participation from existing and new investors like Amazon Climate Pledge Fund.
- Glacier aims to close the loop in circular manufacturing by improving the sorting process in MRFs and enhancing data-driven efficiency.
- Challenges faced by MRFs include handling heterogeneous materials efficiently, which Glacier addresses with cost-effective, compact robots.
- Glacier's AI technology assists MRFs in optimizing plant efficiency, identifying revenue opportunities, and improving material recovery rates.
- The company strives to provide real-time insights to recycling facilities and act as a problem-solving partner for top-line issues.
- Glacier's ultimate goal is to revolutionize recycling facilities by offering data-driven solutions and cutting-edge robotics technology.
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Unite
4w
302
Image Credit: Unite
John Gaeta, Founder and CEO of Escape.ai – Interview Series
- John Gaeta, Founder and CEO of Escape.ai, is known for his work on The Matrix trilogy and is focused on AI-generated film content.
- Escape.ai aims to democratize entertainment by empowering creators to tell epic stories and rival studio scale.
- Gaeta describes Escape as a 'Neo Cinema' platform that disrupts traditional storytelling methods and formats.
- Escape.ai merges AI, real-time tools, and immersive formats to redistribute power to creators and redefine streaming.
- Generative AI and game engines enable rapid world prototyping, allowing new voices in storytelling to be heard.
- Gaeta believes AI filmmaking will create a parallel industry empowering creators to own their content.
- Despite skepticism, Gaeta asserts that AI-assisted content can still be human, extending human creativity and expression.
- In the future of AI-powered cinema, human authors and actors will play central roles in designing narrative ecosystems.
- Escape.ai supports creators in owning their work, building sustainable paths, and encouraging creative sovereignty.
- Escape.ai blurs the lines between streaming, social interaction, and creator economies to create an immersive creative ecosystem.
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Unite
4w
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Image Credit: Unite
Combating Clinician Burnout with AI: A 2025 Vision for Smarter Healthcare Workflows
- The integration of Voice AI and ambient clinical intelligence technology is being revolutionary in combatting clinician burnout by enhancing clinical workflows and accuracy.
- Physician burnout remains a critical concern, with nearly half of U.S. physicians experiencing burnout, largely due to overwhelming administrative burdens.
- Clinician burnout costs healthcare systems billions annually and is projected to contribute to a shortage of primary care physicians by 2034.
- AI advancements in healthcare, particularly in transcription and intelligent assistance, have significantly reduced documentation burdens and improved workflow efficiency.
- AI tools like Ambient Clinical Intelligence and Automated Workflow Optimization are transforming clinical workflows and reducing burnout among healthcare professionals.
- AI solutions are streamlining tasks such as referral management, documentation, insurance processes, and clinical decision support, leading to productivity increases.
- AI is now assisting with pre-visit preparations, post-visit documentation, and care plan adherence monitoring, significantly reducing cognitive load for clinicians.
- The emergence of AI-empowered 'superclinicians' is enhancing diagnostic accuracy, efficiency, and patient relationships, while reducing stress levels.
- AI implementation challenges include integration with existing systems, training requirements, privacy concerns, bias mitigation, and ethical considerations.
- The future vision for AI in healthcare includes complete workflow integration, intelligent specialization, and expanding beyond documentation to improve patient care and reduce cognitive burden for clinicians.
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The Robot Report
4w
164
Novanta to show innovative motion control products at Robotics Summit
- Novanta Robotics & Automation, a leader in precision motion control technology, is participating in the Robotics Summit & Expo.
- Novanta will showcase innovative motion control products designed to meet the evolving needs of the robotics industry.
- Novanta is a proud partner of MassRobotics, supporting the growth of robotics startups.
- The Robotics Summit & Expo is the leading event for commercial robotics developers, offering networking opportunities and educational sessions.
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Unite
4w
40
Image Credit: Unite
Fixing Diffusion Models’ Limited Understanding of Mirrors and Reflections
- Generative AI's rise has spurred interest in developing AI models that understand and replicate physical laws, with a focus on simulating gravity and liquid dynamics.
- Latent diffusion models (LDMs) have become dominant in generative AI, sparking research into their limitations in comprehending and reproducing physical phenomena.
- Issue of accurate reflections in LDMs has gained attention, with research focusing on improving their understanding of mirror reflections.
- Challenges with reflections are prominent in industries like CGI and video gaming, where ray-tracing algorithms are used to simulate realistic reflections and shadows.
- Efforts have been made to improve reflection capabilities in models like Neural Radiance Fields (NeRF) and Gaussian Splatting, with various projects tackling the reflection problem.
- Diffusion models face difficulty in incorporating accurate reflections, requiring extensive and varied training data sets to embed reflection-related rules reliably.
- Recent MirrorVerse project from India aims to enhance diffusion models' reflection capabilities through an improved dataset and training method.
- The MirrorVerse project introduces MirrorFusion 2.0, a diffusion-based generative model focusing on improving photorealism and geometric accuracy in mirror reflections.
- MirrorGen2 dataset, curated for MirrorVerse, enhances mirror reflection training data through diverse 3D objects, scene constructions, and synthetic data generation methods.
- A three-stage curriculum learning process was designed for training MirrorFusion 2.0, incorporating synthetic and real-world data sets to enhance reflection quality and generalization.
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