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Robotics News
The Robot Report
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Image Credit: The Robot Report
New research analyzes safety of Waymo robotaxis
- Waymo shared new research with Swiss Re which shows Waymo’s autonomous vehicle technology is superior to human-driven vehicles. It found an 88% reduction in property damage claims and a 92% reduction in bodily injury claims over human-driven vehicles. Across 25.3 million miles, the Waymo Driver was involved in just nine property damage claims and two bodily injury claims. Waymo’s safety advantages hold true when compared to newer vehicles equipped with modern safety technology. Waymo data indicates that over 25 million fully autonomous miles, the Waymo Driver had fewer serious collisions than human drivers.
- Auto liability claims aggregated from 25.3 million fully autonomous miles driven by Waymo suggest its autonomous vehicle technology has fewer accidents than any human-driven vehicles. It’s a world leader in driverless automotive technology.
- Swiss Re analysed Waymo’s liability claims and found a reduction of 88% in property damage claims and a 92% reduction in bodily injury claims, and even when compared to newer vehicles using ADAS (advanced driver assistance systems) features.
- Waymo has demonstrated groundbreaking safety performance when compared to human-driven vehicles, with fewer serious collisions and no responsibility in the vast majority of collisions involving its vehicles.
- This research offers evidence that auto insurance claims can be used as a powerful tool in evaluating the safety performance of autonomous vehicles in the real world.
- Waymo’s leading technology is already conducting trialling services in limited areas across Phoenix, San Francisco, Los Angeles, and Austin, delivering more than 150,000 trips per week.
- Waymo's research offers a scalable framework for ongoing assessment of the safety impact autonomous vehicles have on the road. It’s proof that autonomous vehicles can greatly benefit society by offering a safer driving experience.
- While Waymo is the clear leader in the field, it’s worth noting that it isn’t the only company attempting to deploy robotaxis in the US, with other competitors including Nuro and Zoox.
- It’s important to consider the limitations of this research, such as the fact that Waymo’s robotaxis are currently only available in urban areas, and Waymo has yet to deploy its robotaxis in regions with snowy weather, which could pose significant challenges for the technology.
- Waymo has plans to start services in Miami and Tokyo in 2025, cementing its position as the leader of fully autonomous vehicle technology.
- Swiss Re's research shows that auto liability claims can be used as a powerful tool in measuring the safety performance of autonomous vehicles, making it more scalable for ongoing safety analysis.
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The Robot Report
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Image Credit: The Robot Report
From AI to humanoids: top robotics trends of 2024
- Agility deployed Digit humanoids at Spanx and signed a deal with Schaeffler.
- Boston Dynamics introduced the new electric Atlas humanoid robot.
- NVIDIA supported humanoids and highlighted Blackwell at GTC.
- Alphabet invested $5.6B in Waymo.
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Embedded
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AI Predictions for 2025
- AI and edge computing will be the top trend in the AI ecosystem in 2025 as the modern, efficient and secure processing of data is increasingly important.
- Autonomous vehicles are set to have a significant impact by 2025. Advanced models integrating LiDAR sensors, radar, and cameras will enable real-time data processing, further enhancing safety and efficiency.
- AI and IoT convergence or AIoT will drive innovation in 2025. The connected devices will be capable of analyzing real-time data to improve efficiency and reduce costs. Industries will have greater automation and more precise monitoring of operations.
- Cognitive sensors, or sensors with built-in AI algorithms, will promote efficiency and accuracy in various industries. For instance, digital health care will benefit from cognitive sensors that detect vital signs and notify users in case of significant anomalies.
- Neuromorphic chips designed to emulate the architecture and functioning of the human brain, will support applications such as pattern recognition, sensory processing, and robotic control. By reducing power consumption, neuromorphic chips offer faster processing in applications with distributed workloads.
- Low-code development will be a significant AI trend which, when combined with AI, can help developers automate code generation and optimize application performance, making it faster and more efficient.
- The democratization of AI and accessibility of development tools is fostering innovation and transforming the technological ecosystem. AI is becoming a resource that is within reach of companies of all sizes.
- AI will transform the energy infrastructure sector to make it more efficient and sustainable. AI-based energy management systems will optimize resource distribution and consumption, and smart grids with machine learning algorithms will predict consumption peaks and promote integration of renewable energy sources.
- Intelligent microcontrollers with built-in AI are expected to revolutionize technology. Microcontrollers equipped with AI capabilities will meet the needs of advanced applications such as wearable devices for health monitoring, industrial sensors for process control, and home automation systems.
- The convergence of AI and emerging technologies such as blockchain and IoT will open up new possibilities for improving data traceability and security, optimizing asset management, and enabling new applications in smart cities and Industry 4.0.
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Medium
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How AR and Robotics Can Make You ‘Present’ Anywhere : A Vision for the Future of Telepresence
- AR and Robotics can redefine telepresence by allowing users to 'be there' virtually.
- Humanoid robots with human-like abilities equipped with cameras, microphones, and sensors replicate human senses.
- A wearable AR suit with motion sensors and haptic feedback devices enables effortless control of the robot.
- Potential applications include remote surgery, exploration in dangerous environments, and disaster response.
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Livescience
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Image Credit: Livescience
Watch adorable birdlike robot waddle, fall down and leap into flight — it could change how drones take off forever
- Researchers have developed a bird-shaped robot called RAVEN that can hop, walk, and leap into flight like a raven.
- RAVEN combines a fixed-wing design with articulated legs, enabling it to traverse various environments and take off more efficiently.
- The prototype can use its flexible legs to walk on the ground and overcome challenging terrain.
- Jumping takeoffs are found to be 10 times more energy-efficient than static takeoffs, potentially improving the reliability and landing potential of drones and planes.
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Analyticsindiamag
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Image Credit: Analyticsindiamag
Apptronik and DeepMind Give Humanoids a Brain While Others Stay in the Frame
- Humanoid robotics company Apptronik has teamed up with Google DeepMind's robotics team to build intelligent and autonomous humanoids for various tasks. The robots are designed to operate in open and dynamic environments with human collaboration in industrial and other sectors. Jeffrey Cardenas, co-founder of Apptronik, said the robots would improve lives and transform industries. Apptronik has unveiled 15 robots prototypes and deepened ties with Nvidia and Mercedes-Benz to expand its industry footprint.
- Google DeepMind's robotics team focuses on artificial intelligence (AI) systems capable of decision and real-world action. Apptronik's flagship humanoid robot, Apollo, is designed for physically demanding tasks in industrial settings. At 5ft 8in tall and 160 pounds, Apollo balances functionality and safety for human workers.
- Google DeepMind recently integrated Gemini 2.0 Flash Thinking, which significantly enhances robotics applications to human-centric environments. This integration illustrates the major breakthrough of combining conversational AI with physical robots towards AGI.
- This collaboration comes amidst notable milestones in robotics this year. Companies such as Meta and Nvidia have shifted focus towards advanced robotic systems. Additionally, China’s Agibot has started mass-producing humanoids as Figure AI ships its first AI robots.
- Brett Adcock, the founder of FigureAI robots, believes that every human will own a robot in the future, just like owning a car or a phone. OpenAI also indicated an interest in automating blue-collar jobs and the universal adoption of robots.
- Recently, the bot has been integrated into EV maker NIO’s advanced manufacturing factory base F2 and has been successfully performing several quality and inspection tests on a production level.
- Apptronik has developed 15 robotic prototypes, including NASA’s Valkyrie robot. The robots are designed for operation in open and dynamic environments with human collaboration in industrial and other sectors.
- The partnership also follows Apptronik's recent collaboration with GXO and Mercedes-Benz as it continues to expand its industry footprint.
- With this collaboration, the partners aim to further advance the development of robots designed to perform a broad range of tasks in environments designed for humans, thus improving productivity and safety in various sectors.
- Robotics firm NVIDIA has introduced HOVER, a neural network with 1.5 million parameters, optimized for humanoid robot locomotion and manipulation. NVIDIA CEO Jensen Huang recently said humanoid robots would soon be available for between $10,000 and $20,000.
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Analyticsindiamag
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Image Credit: Analyticsindiamag
Gemini 2 Finally Gets a Body
- Apptronik has partnered with Google DeepMind’s robotics team to develop robots that are truly intelligent and autonomous, the two companies announced in a statement.
- Jeffrey Cardenas, CEO and co-founder of Apptronik, said that the collaboration is aimed at creating intelligent, versatile, and safe robots that will transform industries and improve lives.
- Several companies such as Meta and NVIDIA have been innovating in the field of robotics this year, developing advanced robotic systems that offer better visual perception, decision-making, and dexterity.
- Google DeepMind recently integrated Gemini 2.0 Flash Thinking into its robotics system, an advanced reasoning model with capabilities that significantly enhance robotics applications.
- The integration of ChatGPT into robotics highlights another major milestone in combining conversational AI with physical robots.
- This collaboration comes amidst notable milestones in robotics this year. China's Agibot has started mass-producing humanoid robots as Figure AI ships its first AI robots.
- Apptronik’s humanoid robot, Apollo, is designed for physically demanding tasks in industrial settings and balances functionality and safety for human collaboration.
- The collaborative expertise of Apptronik and Google DeepMind is expected to set a new benchmark that denotes the manufacturing of intelligent, versatile robots that transform industries.
- Through this partnership, the duo aims to build robots that can perform a wide array of tasks in environments designed for humans, thereby enhancing productivity and safety in various sectors.
- The machine learning advancements from NVIDIA and Google DeepMind, combined with robotics' applications, could yield Ai-powered robots that transform blue-collar jobs into safer, efficient tasks.
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The Robot Report
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Image Credit: The Robot Report
Apptronik partners with Google DeepMind to advance humanoid robots with AI
- Apptronik Inc. has partnered with the Google DeepMind robotics team.
- The strategic partnership aims to combine AI with robotics hardware to enhance humanoid robots' capabilities in dynamic environments.
- Apptronik's Apollo humanoid robot is designed for physically demanding tasks and safe operation in industrial spaces alongside humans.
- The partnership builds on Google DeepMind's expertise in machine learning and physics simulation to address challenges in AI-powered robots.
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Medium
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Image Credit: Medium
"The Future of AI: Opportunities and Challenges"
- AI automates repetitive tasks and allows businesses to focus on innovation and creativity.
- AI personalizes learning experiences and makes education more accessible and effective.
- AI creates new industries, job opportunities, and enables data-driven decision-making.
- AI addresses critical global issues such as climate change and food security.
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The Robot Report
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Image Credit: The Robot Report
Symbotic acquires OhmniLabs, maker of disinfection & telepresence robots
- Symbotic has acquired OhmniLabs, a developer of healthcare robotics systems.
- OhmniLabs offers UV disinfection robots and telepresence robots.
- The acquisition provides Symbotic with in-house manufacturing expertise and expands its automation capabilities for supply chain customers.
- Symbotic aims to deliver enhanced innovation to customers in the healthcare industry.
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Unite
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Image Credit: Unite
OmniOps Secures $8 Million to Accelerate Saudi Arabia’s AI Transformation
- OmniOps, a Saudi Arabia-based AI infrastructure technology provider, has secured $8 million in funding from GMS Capital Ventures.
- The funding will fuel OmniOps' mission to optimize and scale AI workloads while driving sustainable infrastructures in Saudi Arabia.
- OmniOps specializes in building scalable HPC clusters to reduce operational overhead and improve performance.
- The company aims to empower AI adoption at scale in various industries while ensuring compliance and data sovereignty.
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Unite
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Image Credit: Unite
How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI
- Large Language Models (LLMs) are changing how we interact with AI by making it easier to understand complex systems and putting explanations in terms that anyone can follow.
- LLMs can learn from just a few examples and apply that knowledge on the fly, which researchers are using to turn LLMs into explainable AI tools.
- LLMs are making AI explanations accessible to everyone, not just tech professionals, by using models such as x-[plAIn] to simplify complex explanations of explainable AI algorithms.
- LLMs can generate explanations in natural language in your preferred jargon, providing as accurate explanations, if not more so, than traditional methods.
- LLMs turn raw, technical explanations into narratives that explain the decision-making process in a way anyone can follow.
- Using LLMs to build conversational agents that translate technical information into something easy to follow, making interacting with AI feel more natural and intuitive.
- The future of LLMs in explainable AI includes creating personalized explanations, and improving how LLMs work with tools like SHAP, LIME, and Grad-CAM.
- By making AI systems easier to trust, use, and understand, LLMs are paving the way for a future where AI is robust, transparent, and easy to engage with.
- LLMs are making systems easier to trust, use, and understand, which could transform the role of AI in our lives.
- LLMs are making AI more approachable, understandable, and trustworthy, ensuring AI systems become tools anyone can use, regardless of their expertise or background.
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Unite
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Image Credit: Unite
Anthropic and Meta in Defense: The New Frontier of Military AI Applications
- AI systems have evolved to become an essential component in defence systems and are now prominent in many aspects of military planning and operation, from surveillance to autonomous drones.
- Anthropic and Meta are at the forefront of these endeavours, creating innovative AI solutions that redefine how the military prepares, protects, and responds to ever-changing threats and situations.
- AI capability to adapt and respond instantly to change is critical to modern defence systems, and nations around the world are investing heavily into this technology to maintain a strategic advantage.
- Anthropic's safety-oriented approach to AI involves creating models that are reliable, interpretable and aligned with human values, ensuring its models are transparent and adhering to strict safety protocols. The company's AI systems operate in military applications with greater speed and accuracy than older systems.
- Meta is another key player in the defence AI space with its powerful Llama models, which are used in intelligence processing and strategic operations. The company also utilises VR and AR technologies, allowing troops to train realistically in threat simulations and translate the data in real-time, responding more effectively to situations.
- Persistent memory, unlike traditional short term memory, allows for AI systems to retain and recall infinitely more data over time, opening up new possibilities for more efficient and adaptive defence operations. Technologies like memory-augmented neural networks and vector databases are improving storage and retrieval methods with faster processing speeds.
- There are several challenges associated with scaling these systems up, ensuring privacy and security with highly sensitive military data, and potential for inequalities or biases due to inadequate training data. The implementation of AI technology demands clear policies and transparent practices to ensure responsible deployment along with global collaboration.
- As the world becomes increasingly dependent on AI technology, it is crucial to find a balance between innovation and accountability to prevent any harm or unintended consequences.
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Unite
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Image Credit: Unite
Seven Trends to Expect in AI in 2025
- Global investment in AI is expected to surge by a third in the coming year despite companies becoming more discerning about ROI.
- Data driven analytics will play a more significant role in planning and implementing AI, enabling it to work as an operational consultant rather than a task automater.
- Integrated business process management (BPM) that focuses on process analysis and redesign will be crucial to performance and efficiency.
- Multimodal AI systems that combine text, vision, audio, and sensor data will become increasingly common, enhancing customer satisfaction and operational efficiency.
- As global regulations on AI increase, there will be a focus on transparent, bias-free AI that meets compliance requirements from the ground up.
- Humanistic approach AI design will grow in importance to prioritize user empowerment and well-being.
- Deterministic automation will continue to rule over agentic automation in 2025, with more personalized and responsive interactions from agentic in dynamic environments.
- Enterprises will pivot towards purpose-built AI rather than highly general AI tools to achieve more significant tasks and goals while reducing energy requirements.
- Business leaders will take a holistic view of investment, ensuring it meets business goals, is ethical and sustainable as AI continues to transform every sector.
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