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Robotics News
Dev
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Smart Cupboard System with Robotic Arm: Precision and Accessibility in Home Automation
- The Smart Cupboard System combines robotics with everyday storage solutions, offering precise item manipulation and accessibility through a robotic arm controlled by four servo motors and joysticks.
- A smart cupboard system is a cutting-edge home automation solution that uses robotics for improved storage management.
- Features of the Smart Cupboard System include a robotic arm, joystick control, teach-and-repeat functionality, and a sturdy hardware design.
- Advantages of the system include improved accessibility, precision and control, efficient use of space, user-friendly interface, and enhanced organization. Disadvantages include power dependency, limited load capacity, complex maintenance, environment-specific usage, and cost of assembly.
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The Robot Report
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Korea University Medicine shares single-port robotic thymectomy comparative results
- A joint research team from Korea University College of Medicine announced comparative results of single-port robotic thymectomy.
- The study compared single-port robotic thymectomy with conventional video-assisted thoracic surgery (VATS) thymectomy and showed successful outcomes.
- The results indicated a lower conversion rate to multi-port surgery, shorter chest tube duration, and hospitalization period.
- The researchers believe that single-port robotic thymectomy can overcome limitations and improve thoracic surgery.
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TechBullion
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Building Solutions in Robotics: The Inspiring Path of Hote Raluca Ligia
- Hote Raluca Ligia is a robotics and AI engineer who is making a difference in the field.
- She graduated with degrees in Mechatronics and Robotics Engineering and has contributed to prestigious research projects.
- Her notable accomplishments include developing the BALTO autonomous disinfection robot and leading the AI Garden project.
- Ligia's commitment to using robotics to tackle real-world challenges and improve lives is an inspiring example for others.
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The Robot Report
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DeepRoute.ai closes $100M Series C1 led by Great Wall Motor
- DeepRoute.ai announced a strategic Series C1 funding round raising $100 million, led by Great Wall Motor.
- The funding will be used to enhance research and development in its DeepRoute IO model and scale collaborations with global automakers.
- DeepRoute.ai has raised about $450 million to date and plans to release over 10 new vehicle models in partnership with OEM clients next year.
- The company's end-to-end technology makes its autonomous vehicles more scalable and cost-effective.
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COSMOS
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New “palaeo-robot” explains how plesiosaurs swam
- Researchers have constructed a robot to test the biomechanics of plesiosaurs and understand how they swam.
- Plesiosaurs, marine reptiles that lived during the time of dinosaurs, had long necks and small heads with pin-like teeth.
- Using a robot, researchers discovered that plesiosaurs could swim with coordination between their four large flippers.
- The findings from this study provide insights into the locomotion of extinct animals and may lead to understanding their lifestyles.
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The Robot Report
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Who let the robodogs out? Meet Swiss-Mile’s wheeled quadruped
- Swiss-Mile's quadruped robot combines wheels and legs for enhanced mobility and has potential applications in security and logistics. The robot evolved from academic research to a commercial product, and the discussion covers the engineering challenges faced and the unique functionalities that set it apart.
- iRobot, the maker of Roomba robot vacuum, has laid off another 105 employees as part of its restructuring plans, representing a 16% reduction in its global workforce. One of the main reasons for iRobot's struggle is Amazon's failed acquisition in 2024, which was called off because regulators said the deal would restrict competition, which led to lay off employees.
- Physical Intelligence has raised $400 million to continue its development of AI for a range of robots, focusing on foundation models that can control any robot to perform any task. Physical Intelligence raised $70 million in seed financing earlier this year and said that its valuation has risen to $2.4 billion.
- Pipedream Labs' robot is deployed through pipes to move prepared meals from a quick service restaurant to end-users in a commercial building. Its fixed infrastructure is completely underground and out of the weather, supporting the logistics of delivery between the QSR location and various corporate campuses, thereby drastically reducing delivery times and streamlining restaurant operations.
- The 2025 RBR50 innovation awards recognize technology and business innovations in the calendar year 2024. The awards are open to any company worldwide that produces robotics or automation. They aim to celebrate startup of the year, application of the year, robot of the year, robots for good award and new products and business, engineering, or technology services.
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The Robot Report
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How Agility Robotics crosses the Sim2Real gap with NVIDIA Isaac Lab
- Agility Robotics is using Reinforcement learning (RL) to model robots in a simulated virtual environment.
- Using a model-based controller and inverse dynamics approach to controlling a dynamic model requires us to know a lot about the world.
- RL is a better approach where instead of using real-time models, it simulates worlds to learn control policies for the robot to operate in various simulated environments.
- Learning controllers that work across different worlds that are similar enough to the real one.
- The challenge is to make policies trained in a simulator transfer over to a real robot; this is called the Sim2Real challenge.
- The company discovered toe impacts can lead to unbounded variations on their robots, and the Sim2Real gap comes into play.
- They've discovered simplifying assumption in collision geometry and concluded lessons learned in understanding why simulations differ to improve the accuracy of the algorithms.
- The company will discuss this at the Conference on Robot Learning to be held next week in Munich.
- Understanding the dynamics of the world and the robot helps to create simulations that are getting closer and closer to reality.
- RL is a way to explore the limits of what might be physically possible for robots.
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The Robot Report
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Arbe Robotics to bring in up to $49M in IPO for perception radar systems
- Arbe Robotics, a developer of perception radar systems, has closed its initial public offering (IPO) and expects to bring in around $15 million in gross proceeds.
- The company plans to use the net proceeds for working capital and general corporate purposes, aiming to empower automakers, suppliers, and various safety applications with advanced sensing.
- Arbe Robotics is known for its radar technology, which is 100 times more detailed than other radars on the market, and it sees potential applications in ADAS and autonomous vehicles (AVs).
- The IPO was led by institutional investors, including AWM Investment Co., and the aggregate gross proceeds were approximately $15 million, with additional potential proceeds of about $34.4 million from warrants.
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Unite
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Amazon Seeks to Deepen AI Partnership with Anthropic Through Strategic Chip-Focused Investment
- Amazon is in negotiations with Anthropic for a second multi-billion dollar investment, aiming to deepen their AI partnership.
- This move reflects Amazon's goal to strengthen its position in the AI chip market, traditionally dominated by established semiconductor manufacturers.
- The proposed investment links investment terms to Anthropic's adoption of Amazon's Trainium chips, emphasizing hardware integration.
- This partnership showcases the growing importance of vertical integration in AI development and may influence future strategic partnerships in the industry.
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Marktechpost
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Google DeepMind Researchers Propose RT-Affordance: A Hierarchical Method that Uses Affordances as an Intermediate Representation for Policies
- Researchers from Google DeepMind propose RT-Affordance, a hierarchical method that uses affordances as an intermediate representation for policies.
- RT-Affordance integrates vision, language, and action-based decision-making to guide robots in various tasks.
- It improves the robustness and generalization of robot policies, surpassing traditional methods in terms of performance.
- RT-Affordance shows promising results in tasks like robotic grasping and object placement, but has limitations when faced with entirely new objects.
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Unite
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Alex Ovcharov, Founder & CEO of Wayvee Analytics – Interview Series
- Alex Ovcharov is the founder and CEO of Wayvee Analytics.
- Wayvee is a real-time customer satisfaction and engagement monitoring solution for retail.
- Wayvee was founded in 2023, pioneering an innovation in Emotion AI using WiFi sensing.
- Wayvee's technology operates with radio waves, ensuring 100% customer privacy and delivering insights in real time.
- Wayvee uses a privacy-preserving sensor with no cameras, allowing it to capture important physiological signals, including heart rate and breathing, without compromising privacy.
- The AI algorithm developed by Wayvee processes these signals into real-time actionable insights for retailers.
- Wayvee's solution is more effective than traditional methods like surveys or video surveillance, allowing for subconscious reactions which deliver more accurate results.
- Wayvee offers instant feedback on customer satisfaction and engagement, making it easy for retailers to make swift and effective operational changes.
- Wayvee's device is easy to install and requires minimal technical know-how and retail stores can start with a few sensors during a test period and expand as needed.
- Wayvee's tech offers countless potential uses cases, from measuring the effectiveness of retail media to understanding how different types of content impact customers.
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Unite
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Why the Introduction of AI in Long-Term Care Takes a Long Time
- AI remains slow and challenging to be adopted in long-term care facilities despite its potential to revolutionise patient care through fall detection, bedsore prevention, and sleep quality assessments.
- For venture capitalists, long-term care AI is appealing for several reasons. First, healthcare software is typically sold through recurring licensing agreements, which makes companies offering these solutions prime acquisition targets.
- The core issue for long-term care providers is a growing staff shortage. AI can help by increasing caregiver productivity, making it a crucial tool for maintaining quality care in the face of resource constraints.
- Long-term care facilities rely heavily on outdated technologies installed by system integrators with vested financial interests in maintaining the status quo, presenting a clear apprehension in the care industry that is causing the sector to fall behind with the times.
- The slow adoption of AI in long-term care boils down to four key factors, which include system integrator resistance, hardware lag, training and cultural barriers and fear of AI replacing jobs.
- AI has come under immense criticism due to a lack of education on the subject. There is a fear that AI is going to replace jobs in healthcare, taking away income from hard-working people.
- Ultimately, the introduction of AI into long-term care will be a slow but inevitable process. System integrators who pivot to offer AI-based solutions in long-term care can position themselves for success in a growing and underserved market.
- Venture capitalists should keep an eye on vision technology that unifies and improves current fragmented systems. The question isn't if AI will transform this sector, but how quickly it will happen—and who will lead the charge.
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Medium
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Geometry-Informed Distance Candidate Selection for Adaptive Lightweight Omnidirectional Stereo…
- A method for lightweight omnidirectional stereovision with fisheye images has been introduced by a robotics research team.
- The method involves selecting Geometry-Informed (GI) distance candidates to enhance depth estimation accuracy and reduce computational load.
- The GI candidates are adaptable to alterations in camera distances without the need for re-training, making them valuable in dynamic settings.
- The findings highlight improved accuracy in estimating distances and quicker model performance using the GI candidates method.
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Medium
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AI for Humanity, Artificial Rain by Swarm of Drone
- AI-based drone light shows are gaining popularity.
- The idea of using intelligent drone swarms to combat forest fires and create artificial rain is being explored.
- The concept involves deploying drones with water or chemicals to extinguish forest fires and using drone swarms to create artificial rain in dry areas.
- Additional measures include robots in forests for measuring dryness, alert systems for nearby houses, and satellite image analysis for predicting severe storms.
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