BioPACIFIC MIP accelerates biomaterials innovation with autonomous experimentation and robotics, supporting over 130 research projects across the US. The platform aims to connect fundamental research with industry needs, fostering paradigm shifts in new material discovery.
Researchers at KAIST have developed a 'field-programmable robotic folding sheet' that can be programmed in real time according to its surroundings. The technology enables real-time shape programming and opens new possibilities in robotics.
The new book highlights the transformative role of artificial intelligence (AI) and machine learning (ML) across various domains, including mechatronics, cybersecurity, digital health, and automation. Readers will gain practical insights into AI-based techniques in power systems, social media management, and healthcare diagnostics.
Researchers developed a high-performance graphene accelerometer with ultra-narrow trenches, achieving improved mechanical robustness, electrical performance, and device yield. The design offers a scalable solution for miniaturized acceleration sensing in wearable electronics, medical robotics, and precision instrumentation.
Lydia Kavraki, a pioneering researcher in robotics and AI, has been elected to the European Academy of Sciences. Her work on physical AI, transforming robotics and biomedicine, and leadership at Rice University's Ken Kennedy Institute have earned her this prestigious honor.
A new technology enables high-performance and efficient inference for planning based on diffusion models, improving inference-time scalability. The research achieved a 100% success rate on the giant maze-solving task, demonstrating its performance in real-time decision-making applications like intelligent robotics.
Researchers develop predictive framework that connects silicone curing conditions with adhesion strength, enabling dramatic improvements in performance for molded and 3D-printed elastomer components. The 'reaction coordinate' metric allows precise tracking of the degree of curing, even under variable thermal conditions.
The study enrolled 117 patients across 10 clinical sites and demonstrated the safety and effectiveness of robotic-assisted neuroendovascular aneurysm embolization. Key findings include improved precision and support for physicians navigating complex aneurysm cases.
Researchers at TUM create standardized procedure to compare industrial robots and assess their sensitivity, categorizing them into 'industrial robots,' 'cobots,' 'soft robots' and 'tactile robots.' This evaluation scheme has the potential to become an industrial testing standard, creating a seal of quality for the robotics market.
Researchers are creating generalized digital twins for machines, aiming to improve coordination up and down the production line. The center also plans to develop digital twins for human-robot collaboration and use software for simulation and analysis.
The 22nd Annual Meeting will highlight dozens of promising research studies on middle meningeal artery treatment, AI and robotics in neurointervention, GLP-1s on stroke and infant firearm injuries. Neurointerventional specialists will share their expertise to advance patient care.
MXene materials have been engineered to respond to light, enabling their use in soft robotics applications. This breakthrough could lead to the development of new types of robots that can change shape and function in response to external stimuli.
A robot trained on videos of surgeries performed a lengthy phase of a gallbladder removal without human help, responding to and learning from voice commands. The robot performed unflappably across trials with the expertise of a skilled human surgeon, even during unexpected scenarios.
New humanoid surgical robots offer a solution to the growing healthcare labor shortage, allowing for more efficient surgeries and reduced burnout among doctors. By taking on routine tasks, these robots can free up surgeons to focus on more complex procedures.
The HKU Robocon <em> Virtus </em> team claimed the top prize at Robocon Hong Kong Contest 2025, showcasing innovative designs that blend AI with advanced robotics technology. The team's robot features a novel long pneumatic cylinder design and a lift mechanism that enhances dribbling capabilities.
Researchers developed a snake-inspired soft robot (ICSBot) that leverages diverse locomotion modes to navigate complex environments and handle objects with high flexibility. The ICSBot's design offers new possibilities for creating adaptive robotic systems inspired by nature, enabling enhanced performance and autonomy.
The University of Illinois team created a user-friendly process to improve enzyme performance using AI and automated robotics. By predicting sequence changes and testing variants, they increased the activity of two key industrial enzymes by up to 26 times and 90 times.
Researchers have developed a knowledge graph-based approach to searching ROS packages, achieving at least 21% higher accuracy than existing methods. This tool helps developers find the right components in seconds, reducing bugs and improving robot performance.
Researchers built a digital model of a bee's brain, discovering how movement facilitates accurate learning and recognition of complex visual patterns. This breakthrough could lead to more efficient AI and robots that use movement to gather information.
A new AI approach enables autonomous systems to make safer decisions by identifying genuine cause-and-effect relationships in historical data. This improves the accuracy and reliability of autonomous technology in industries such as self-driving cars, medical decision-support systems, and robotics.
A team of researchers at Princeton University and Harvard found that fish schools do not form diamond shapes as previously believed. Instead, they adopt a dynamic ladder pattern, allowing them to stagger in multiple planes and reduce energy expenditure.
The SEB Conference 2025 will feature over 500 talks on latest advances in experimental research across animal, plant and cell biology. The event highlights groundbreaking research in biomechanics, wildlife conservation, human disease and bio-inspired robotics.
Researchers at DTU developed a new electronic material that behaves like human skin, offering self-healing and adaptive properties. The material can stretch up to six times its original length, regulate heat, and detect environmental factors, making it suitable for wearable devices, soft robotics, and healthcare applications.
The Digits framework uses compressed air to produce shape changes, vibrations, and haptic feedback, offering a versatile platform for virtual reality and physical therapy. The device's modular design and pneumatic actuation enable adaptable and scalable control methods.
Researchers at IIT have successfully demonstrated the first flight of a humanoid robot, iRonCub3, which can lift off the floor and maintain stability. The robot's AI-powered control system enables it to handle high-speed turbulent airflows, extreme temperatures, and complex dynamics.
Researchers developed a new robot navigation system called LENS, which uses brain-inspired computing to set a low-energy benchmark for robotic place recognition. The system combines a spiking neural network with a special camera and low-power chip to enable fast and energy-efficient location tracking.
A new study published in Frontiers in Robotics and AI explores the use of artificial intelligence to detect live oysters. While the AI model ODYSSEE shows promise, it lags behind humans in accuracy, correctly identifying live oysters at a rate of 63% compared to 74% for expert annotators.
Researchers created a soft robotics technology that can identify damage, pinpoint its location, and autonomously initiate self-repair. The system uses a multi-layer architecture featuring liquid metal microdroplets, thermoplastic elastomer, and electromigration to melt and seal damaged areas, effectively self-healing the wound.
A multidisciplinary team will utilize cutting-edge imaging technology and underwater robotics to discover and describe exotic marine species in the deep ocean. The project aims to transform how scientists understand the ocean's vast midwater region.
Researchers at Tohoku University developed jellyfish cyborgs that harness the organism's natural swimming style, predicting movement in any direction using a lightweight AI model. The findings demonstrate the potential for soft-bodied marine animals to inspire innovations in robotics and climate research
The team developed a demonstrator to optimize water treatment plant operation through full-scale tests at CIRTESU. The system simulates processes, measures water velocity and turbulence, and analyzes mixing effects.
Antonio Bicchi has been selected for the 2025 Pioneer in Robotics and Automation Award for his groundbreaking contributions to robotics and prosthetics. He is recognized for developing innovative robotic limbs that match human hand capabilities, as well as natural prosthetic limbs.
UT-Battelle has donated $225,000 to purchase advanced manufacturing equipment for Oak Ridge High School's Wildcat Manufacturing iSchool program. The equipment includes AI- and robotics-assisted manufacturing systems, enabling students to earn college credit while gaining experience with the latest innovations in intelligent manufacturing.
Triboelectric and piezoelectric nanogenerators convert mechanical energy into electrical energy, enhancing robotic autonomy and efficiency. The technology has the potential to reshape future robotic capabilities, particularly in industrial automation, healthcare, and smart home applications.
The research proposes a fourfold integration of education, combining theoretical learning with practical activities, to cultivate high-quality robotics talents. The implementation achieves remarkable results, including improved innovative practice abilities and increased postgraduate enrollment rates.
Researchers developed novel haptic devices to enable precise robot control with tactile feedback, reducing collisions and improving user proficiency. The devices integrate digital twin technology and augmented reality for enhanced immersion.
The study, published in PNAS, discovered a new type of behavior called 'countersnapping' where structures shrink when pulled. This finding has exciting applications in soft robotics, vibration control systems, and wearable exosuits, enabling one-way sliding motion, materials that switch stiffness on demand, and structures that dampen e...
SWORD accelerates robotics development by reducing manual coding required for complex applications, integrating CAD with open-source ROS tools to streamline automation. The software models, plans, and executes automation in a user-friendly environment.
Researchers developed a technique that enables robots to learn about an object's weight, softness, or contents by picking it up and gently shaking it. This method uses internal sensors and simulation processes to rapidly identify characteristics of the object, making it suitable for applications where cameras might be less effective.
The MASTER project invites educational institutions to develop innovative XR educational content and validate cutting-edge XR technologies in real settings. Selected applicants will receive financial support, access to advanced XR tools, and expert mentorship.
Researchers from UC3M and Harvard University demonstrate reprogrammable mechanical behavior of magnetic metamaterials without changing composition. Flexible magnets allow for modification of stiffness and energy absorption capacity through distribution or external magnetic field manipulation.
Kavraki's interdisciplinary research in robotics and biomedicine has been recognized for its impact on manufacturing, space exploration, and medicine. Her work bridges theory and application, with contributions to novel robot motion planning, personalized cancer treatments, and drug discovery.
The journal aims to advance cutting-edge research and engineering applications in flexible materials, devices, and systems. It covers topics such as biomedical materials, soft robotics, human-machine interaction, and energy storage.
Aerial robots can access rough terrain and great heights, reducing material consumption and making construction sites safer. Future drones will need to overcome technological hurdles, including interdisciplinary coordination and autonomy, to be used for industrial purposes.
Researchers at the University of Houston create ceramic materials with origami-inspired shapes and a soft polymer coating, allowing them to bend under pressure without breaking. The resulting structures have improved toughness and can be used in medical prosthetics, aerospace, and robotics.
A tiny, soft robot developed by Penn State researchers can navigate through debris and deliver medicine inside the body. The flexible electronics system enables smart sensors to interact with its surroundings, allowing the robot to operate with minimal human intervention.
Text2Robot leverages generative AI to convert user text descriptions into functional robots. The system generates manufacturable robot designs that resemble the specific request within minutes, making it accessible to anyone with a computer and 3D printer.
Researchers are developing soft-bodied actuators, shape-adaptive propulsors, and AI-driven control strategies to improve energy efficiency and adaptability in MURs. Future innovations may enable robots to mimic marine organisms with unprecedented fluidity and facilitate swarm robotics for collective exploration.
Researchers found that collective cell movement exhibits robust invariance across diverse systems, including cancer cells and bacteria. This discovery could lead to improved understanding of oncological diseases and tissue engineering, as well as applications in robot navigation and artificial intelligence.
The collaboration aims to accelerate the development and commercialization of inait's innovative AI technology, using its unique digital brain AI platform. It will focus on joint product development, go-to-market strategies, and co-selling initiatives, initially targeting the finance and robotics sectors.
Researchers developed a simple, inexpensive tool using robotics and artificial intelligence to analyze dried salt solutions from images. The method increases the accuracy of chemical analysis in scenarios where large samples are difficult to obtain, making it valuable for space exploration, law enforcement, and hospital use.
This groundbreaking research systematically reviewed construction robots' scientific technologies and progress in extreme environments, including hazardous work environments, polluted environments, and harsh natural environments. The study elucidated four key technical performance aspects: mechanism, perception, planning, and control.
A team developed a system integrating implanted spinal cord neuroprosthesis with rehabilitation robotics, delivering well-timed electrical pulses to stimulate muscles. The technology enhances immediate mobility and fosters long-term recovery, presenting a more effective rehabilitation approach than robotics alone.
A cutting-edge solution integrates Visible Light Positioning and Inertial Navigation Systems to tackle dynamic inclination changes and signal blockages. The tightly coupled system achieves impressive positioning accuracy of up to 10 cm and inclination precision within 1 degree.
Researchers at Tartu University have developed a robotics concept that redefines adaptability by weaving its body on demand, like spiders spin their webs. The robot creates custom components in situ using heated polymer solutions, enabling it to operate in complex environments and interact with its surroundings dynamically.
Insilico Medicine has deployed the first bipedal humanoid AI scientist, Supervisor, to aid in data acquisition and generation for training embodied AI systems. The humanoid will assist with lab tours, telepresence, tracking, and supervision, bridging the gap between human-free fully-autonomous robotics facilities.
The Dielectric Elastomer Sensor (DES) offers real-time pressure and vibration monitoring in soft fluidic actuators, ideal for robotics and biomedical devices. The sensor's flexibility and ability to withstand large deformations make it suitable for applications in automobile designing and structural health monitoring.
Researchers discovered that fungi construct a lace-like mycelial network that moves carbon outward from plant roots in a wave-like formation. The team used advanced robotics to measure traffic flows and resource trading in the fungal road system, shedding light on how these networks regulate ecosystem function.
The BIG framework reduces computational demands by at least 20% while boosting efficiency in long-range exploration and navigation tasks. It optimizes exploration with geometric parameters, guides agents to target locations, and creates experience maps through spatio-temporal clustering.
A groundbreaking study using AI-driven robotics laboratory identifies Rentosertib, a potent TNIK inhibitor, as a highly effective senomorphic agent capable of reducing aging-related markers. The study reveals TNIK inhibition alleviates key signaling pathways implicated in senescence and fibrosis.