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Robotics News
Gritdaily
2d
23
Image Credit: Gritdaily
The Robot Arms Taking Over Window Washing, and Everything That Comes With It
- Michael Brown transitions from office supplies to robotics, leading Skyline Robotics to revolutionize window cleaning with data and automation.
- Skyline's Ozmo robot, mounted on building maintenance units, autonomously maps surfaces and collects real-time building health data.
- The robot offers faster cleaning than humans while monitoring seals, facade materials, and energy efficiency, transforming cleaning into an insight-generating process.
- Skyline's approach focuses on data-driven upkeep, addressing building faults efficiently based on real-time data insights.
- The company's robots augment labor shortage in window cleaning by reinforcing human workers and enhancing safety in high-rise cleaning.
- In collaboration with regulatory bodies like New York's Department of Labor, Skyline becomes the first approved to operate window-cleaning robots in strict markets.
- Skyline targets global expansion, focusing on tall skyscrapers, and partners with crane manufacturers to integrate robots and future-proof building maintenance.
- The company plans to expand beyond buildings to other high-cost, high-risk cleaning environments, aiming to build smarter, more scalable robots.
- Skyline Robotics represents a blend of automation, AI, and innovative infrastructure, with ambitions for smarter and safer building operations in the future.
- The startup envisions a future where buildings are not just taller but also operate more intelligently and sustainably.
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Pymnts
2d
340
Image Credit: Pymnts
Report: SoftBank to Invest $1 Trillion in AI-Powered Robot Factories in US
- Japanese tech investment firm SoftBank Group plans to invest $1 trillion to build AI-powered factories in the US.
- The factories will be equipped with robots designed to address labor shortages faced by American manufacturers.
- SoftBank's investment is higher than the previously announced $500 billion investment in the US.
- The investment aims to create jobs and develop AI infrastructure in the country.
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The Robot Report
12h
275
Building robots can be a pain: 6 reasons you should let someone else do it
- Outsourcing or partnering with contract engineering firms can accelerate robot development and deployment, saving time and costs.
- Contract engineering firms offer specialized skills in reinforcement learning, AI integration, and robotic perception, ensuring expertise.
- By leveraging external expertise, companies can avoid resource constraints, labor shortages, and approval bureaucracy.
- Contract engineering firms provide ready-made tools, talent, and processes, leading to faster project completion and smoother budgeting.
- They offer a solution to scarce engineering talent by providing expert teams without the need for lengthy onboarding or expensive severance packages.
- Contract engineering firms excel in fast decision-making, avoiding approval delays caused by internal bureaucracy in larger companies.
- Seasoned contract engineers can swiftly address unexpected technical difficulties and apply industry-specific solutions to complex challenges.
- Outsourcing helps supplement in-house expertise by bringing together multidisciplinary skills under one roof, reducing the need to hire multiple specialists.
- Contract engineering firms offer a cost-effective solution for one-time projects, avoiding long-term payroll commitments and organizational restructuring.
- SKA Robotics emphasizes the benefits of outsourcing in modern robotics, highlighting the importance of leveraging external expertise for successful project outcomes.
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Livescience
13h
347
Image Credit: Livescience
Watch eerie video of humanoid robot 'army' marching naturally, thanks to a major AI upgrade
- A U.S. robotics company has used AI to give its humanoid robots a more natural-looking stride.
- The company, Figure, claims that the robot's human-like gait will help it navigate the physical world more easily.
- Figure's engineers used reinforcement learning to improve the robot's walking through trial and error.
- The company plans to roll out its humanoid robots on factory floors and has already tested them in a BMW factory.
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Medium
14h
357
The Future of AI & Robotics: Can Machines Truly Understand Emotions?
- The future of AI and robotics is promising, with advancements in data collection and AI models allowing machines to process vast amounts of information and understand human behavior, emotions, and expressions.
- While AI and robots do not possess actual feelings, they can analyze and interpret human emotions through data, enabling them to predict actions and mimic empathy.
- Data collection plays a crucial role in improving AI capabilities, especially in areas like natural language processing and computer vision, allowing for better understanding of human behavior.
- AI models like ChatGPT and Gemini are already impacting various sectors by processing data to recognize patterns and predict human behavior accurately.
- Although robots may not experience emotions, they can simulate empathy by analyzing data and responding to human cues, raising ethical concerns about data privacy and AI's emotional understanding.
- The concept of creating human-like robots capable of understanding and mimicking emotions is intriguing, raising debates about the role of AI in emotional intelligence and ethical considerations.
- Data chips storing emotional data could enable robots to provide personalized care for the elderly, assist in surgery, manage disasters, offer companionship, and collaborate with humans in various industries.
- Human-robot teams could work together to enhance efficiency, creativity, and innovation in sectors like healthcare, agriculture, and disaster management, improving overall human well-being.
- As AI-powered robots become more integrated into society, addressing ethical concerns, data privacy, and ensuring their beneficial use will be crucial for creating a harmonious interaction between humans and machines.
- The future holds the potential for human-like robots to enhance human life, providing companionship, support, and assistance while allowing individuals to focus on more creative and strategic endeavors.
- Ultimately, the collaborative relationship between humans and robots, driven by AI and data science, can lead to a more interconnected, empathetic, and efficient world, where robots serve as allies in improving the quality of life.
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Unite
1d
289
Image Credit: Unite
How OpenAI’s o3, Grok 3, DeepSeek R1, Gemini 2.0, and Claude 3.7 Differ in Their Reasoning Approaches
- Large language models are advancing from text prediction systems to reasoning engines, solving complex challenges through advanced reasoning techniques.
- The development of reasoning techniques allows AI models like OpenAI's o3, Grok 3, DeepSeek R1, Gemini 2.0, and Claude 3.7 Sonnet to process information logically.
- Reasoning techniques include Inference-Time Compute Scaling, Pure Reinforcement Learning (RL), Pure Supervised Fine-Tuning (SFT), and RL+SFT.
- Inference-Time Compute Scaling enhances reasoning by allocating extra computational resources without structural changes, beneficial for tasks requiring deep thought.
- Pure Reinforcement Learning trains models through trial and error, mimicking human learning processes but can be computationally demanding.
- Pure Supervised Fine-Tuning trains models on labeled datasets for efficient reasoning replication, but its success heavily depends on data quality.
- Reinforcement Learning with Supervised Fine-Tuning combines stability and adaptability for effective problem-solving while requiring more resources than pure supervised fine-tuning.
- OpenAI's o3 uses Inference-Time Compute Scaling for precise results in complex tasks but at the cost of higher inference costs and slower response times.
- Grok 3 by xAI combines computational scaling with specialized hardware for real-time applications like financial analysis, excelling in speed and accuracy.
- DeepSeek R1 employs Pure Reinforcement Learning initially and later incorporates Supervised Fine-Tuning for adaptability, making it cost-effective and flexible.
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The Robot Report
1d
252
Johnson & Johnson MedTech launches Dualto generator that will work with Ottava surgical robot
- Johnson & Johnson MedTech has launched its FDA-cleared Dualto energy system, a surgical system that combines multiple energy modalities into an integrated platform for use in surgeries.
- The Dualto system is designed to work with Johnson & Johnson's Polyphonic Fleet software application and its Ottava surgical robot.
- It provides the option of powering monopolar, bipolar, ultrasonic, and advanced bipolar instruments, all powered through a single, consolidated system.
- The system's modular design and flexible architecture take up nearly half the footprint of separate generators.
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The Robot Report
2d
357
Kollmorgen releases SFD-M high-resolution encoder with multi-turn absolute feedback
- Kollmorgen Corp. has released the SFD-M high-resolution encoder with multi-turn absolute feedback.
- The SFD-M allows machine builders to achieve high-resolution, multi-turn feedback with absolute positioning information at system startup.
- It provides substantial savings in machine designs that require high precision and accuracy.
- The encoder eliminates the need for batteries or mechanical gear trains, offering battery-free operation and improved reliability.
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The Robot Report
2d
81
Serve Robotics CEO Ali Kashani on the future of last-mile logistics
- Ali Kashani, CEO of Serve Robotics, discusses the company's impressive growth and plans to scale their fleet of delivery robots.
- Kashani highlights partnerships with Magna and Uber, as well as challenges in expanding into new markets like Miami.
- The discussion covers the role of AI in enhancing robot capabilities and the importance of adapting workflows for restaurant partners.
- Kashani reflects on the journey from startup to public company and the future possibilities for robotics in different sectors.
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The Robot Report
2d
27
3 women share advice for navigating the robotics industry
- Women make up only about 16% of the robotics workforce, facing challenges in finding support and opportunities in the industry.
- Having a community of like-minded women in robotics has been crucial for Sonali Deshpande, Kali Hamilton, and Kait Peterson, providing a sense of understanding and support.
- Finding mentors and advocates is essential for career advancement, offering guidance and standing up for individuals in challenging situations.
- Imposter syndrome is a common issue among women in robotics, affecting confidence and career progression.
- Creating a more inclusive environment and valuing diverse perspectives can help attract more women to the robotics industry.
- Industry changes, such as early encouragement of women in STEM, fostering a diverse workplace culture, and providing inclusive tools, can help bridge the gender gap in robotics.
- Sonali Deshpande, Kali Hamilton, and Kait Peterson will speak at the 2025 Robotics Summit, sharing insights on robotic navigation, field engineering, and warehouse automation.
- The Robotics Summit & Expo will showcase advancements in motion control, AI, sensing, and more, providing a platform for industry professionals to connect and learn.
- The event includes networking opportunities, educational sessions, keynotes, and hands-on demos, contributing to the growth and innovation of the robotics industry.
- The Women in Robotics Breakfast, part of the summit, aims to bring together industry professionals to celebrate diversity and empower women in robotics.
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Unite
2d
297
Image Credit: Unite
How Well Can LLMs Actually Reason Through Messy Problems?
- Generative AI technology has rapidly evolved, impacting daily life and disrupting industries within just a few years.
- AI capabilities have expanded to generating images, music, movies, and custom content, previously considered impossible.
- Tools like ChatGPT and Midjourney demonstrate the blistering evolution of generative AI, allowing users to experience advanced reasoning capabilities.
- Retrieval-Augmented Generation (RAG) systems showcase AI's prowess in solving complex queries, as seen with the FRAMES dataset.
- FRAMES dataset evaluates multi-hop questions, requiring inference, logic, and data synthesis, mirroring real-world research tasks.
- Top GenAI models can achieve 73% accuracy on complex questions by collecting all necessary documents, highlighting their reasoning abilities.
- Decentralized and open-source GenAI platforms like Sentient Chat are revolutionizing reasoning capabilities and outperforming benchmarks.
- Open-source models like Sentient Chat's 'Dobby 8B' demonstrate advanced reasoning and distinct perspectives, surpassing benchmarks.
- The rapid evolution of AI technology suggests an even faster pace of advancement in the future, potentially surpassing human intelligence.
- Decentralized and open-source GenAI models are poised to redefine the boundaries of artificial intelligence and its impact on society.
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Unite
2d
211
Image Credit: Unite
Jay Allardyce, General Manager, Data & Analytics at insightsoftware – Interview Series
- Jay Allardyce is the General Manager, Data & Analytics at insightsoftware, with over 23 years of experience in Enterprise B2B companies.
- Insightsoftware provides financial and operational software solutions to aid in financial planning and analysis, accounting, and operations.
- To avoid 'AI FOMO,' businesses should understand customer pain points and purposefully adopt AI solutions.
- Effective data management is crucial for businesses to be data-driven and make informed decisions.
- The intersection of AI and IoT in industries like energy and construction can optimize operations and improve productivity.
- Companies should focus on clean and accurate data to leverage AI effectively and gain a competitive advantage.
- Empowering non-technical teams to use data and AI can be achieved by simplifying tools and processes.
- AI is transforming financial operations by automating tasks and enhancing forecasting for CFOs and finance teams.
- Enhanced data agility and ethical considerations are key factors for the responsible deployment of AI technologies.
- Organizations deploying AI should focus on trust, origin of data used, and the value it brings to improve impact.
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Unite
2d
125
Image Credit: Unite
What AI Is Teaching Us About Ancient Civilizations
- Artificial intelligence is being used to teach humans about ancient civilizations by automating and accelerating the decipherment process.
- AI's power lies in automation, evolution, and minimal human oversight, enabling it to carry out complex tasks independently.
- Researchers have utilized AI to decipher ancient languages, uncover buried artifacts, and simulate ancient cultural attitudes.
- Computer programs using natural language processing technology can decode written language faster and more accurately.
- AI has helped discover new geoglyphs in Peru and identify a 5,000-year-old civilization in the Rub al-Khali desert using satellite imagery and machine learning.
- By using AI to analyze historical texts, scientists can simulate ancient cultural attitudes and reconstruct premodern customs more accurately.
- AI can recreate ancient board games, decipher cuneiform tablets, and fill gaps in history books by joining tablet fragments.
- The use of AI in archeology can lead to new historical discoveries, insights into ancient civilizations, and a deeper understanding of the past.
- While AI presents opportunities for archeological research, caution is advised to address biases, inaccuracies, and limitations in its applications.
- Ultimately, AI's role in deciphering languages, locating buried artifacts, and enhancing historical understanding has the potential to reshape our knowledge of ancient civilizations.
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