Articles tagged with Robotics
Researchers developed a new control algorithm that enables powered knee prostheses to mimic natural human motion, reducing tripping risks and strain on users' bodies. The study showed significant improvements in activities of daily living, such as sitting, standing, walking, and climbing stairs.
A study by Osaka Metropolitan University found that pairs outperformed individuals in a robotic arm-transporting task when roles naturally emerged. Role specialization was key to superior performance, rather than paired interaction. The research has implications for human-robot collaboration and rehabilitation settings.
MIT researchers developed a new framework that helps engineers design complex systems explicitly accounting for uncertainty. The framework allows them to model the performance tradeoffs of a device with many interconnected parts, each of which could behave in unpredictable ways. This approach can help engineers develop complex systems ...
A groundbreaking soft robot has been engineered to perceive and respond to multiple environmental cues simultaneously. Weighing just 8 milligrams, it can carry a payload 2.5 times its own body weight over complex terrain, showcasing impressive agility and strength.
The SRI model integrates swarm dynamics with dynamic graph neural networks, resolving existing method pitfalls. It demonstrates significant performance improvements over traditional methods, with reduced long-term prediction errors.
A novel detection framework, SORA-DET, is introduced for UAV remote sensing, achieving high accuracy and efficiency while being compact and fast. It outperforms large-scale models with up to 88.1% fewer parameters.
Researchers developed a platform called CRESt that incorporates insights from literature, chemical compositions, and imaging to optimize materials recipes. CRESt uses robotic equipment for high-throughput testing and large multimodal models to further optimize materials recipes.
The Leopoldina Annual Assembly focuses on the current developments and potential uses of artificial intelligence in various fields, including medicine, geosciences, and physics. The event features keynote lectures, panel discussions, and an award ceremony to recognize outstanding researchers in AI.
Researchers at CARS create detailed maps of chemical reactivity, discovering regions of unexpected outcomes and reconstructing intricate reaction networks. This new understanding enables control over the formation of different major products from a set of starting materials.
The International Telecommunication Union (ITU) has launched an initiative to bring artificial intelligence and robotics training to students across Africa. The programme combines hands-on AI and robotics training for young people in underserved communities, with a focus on reaching girls and other underrepresented groups.
Frasky, developed by IIT, combines robotics and AI to address environmental sustainability and labor shortages in agriculture. The robot can navigate autonomously, map its surroundings, and apply selective treatments to grape clusters with precision.
Researchers cataloged octopus arm movements in six different locations, revealing diverse behaviors such as foraging and locomotion. The study provides insights into the complex motions of octopus arms, which are guided by sensory organs and can perform a variety of tasks, including manipulating objects.
Aniket Pal's team creates viscoelastic polymers for soft robotics, which exhibit both elastic and viscous properties. These materials can be used to make soft robots more functional and intelligent.
The Wits MIND Institute has received a $1 million boost from Google.org, enabling it to drive next-generation breakthroughs in natural and artificial intelligence. The partnership aims to advance the scientific understanding of both natural and artificial intelligence, foster breakthrough research and technological innovation.
Researchers developed a hybrid kiri-origami structure to overcome the trade-off between flexibility and function in stretchable electronics. The design features a mutual orthogonal cutting line pattern, allowing simultaneous mounting of rigid components and stretching.
Researchers created a new approach that integrates visual and tactile information to manipulate robotic arms, outperforming conventional vision-based methods. This breakthrough represents a significant advancement in multimodal physical AI.
Researchers at the University of Minnesota developed AI-guided aerial robots to detect, track and analyze wildfire smoke plumes. The technology provides high-resolution data collection across large areas at a lower cost than satellite-based tools, enabling more accurate computer models for air quality predictions.
A flexible skin-mounted haptic interface can replicate diverse motions using a single actuator, providing rich tactile feedback and versatility. The technology aims to assist humans in various applications, including wearable human-machine interfaces and medical operations.
The Seoul National University of Science and Technology has developed a novel 3D AMM-based tactile sensing platform that offers high-performance pressure sensing. The technology leverages auxetic metamaterials to enhance sensitivity, stability, and scalability.
Researchers at Pusan National University have developed a novel, multi-resin dispensing process for fiber-reinforced polymer fabrication, enabling precise patterning of mechanical properties within a monolithic structure. The breakthrough composite material combines flexibility and strength for advanced robotic applications.
Researchers at the University of Michigan created woven metamaterials that return to their original shape after repeated compressions, while continuous sheets permanently deform. The structures demonstrated high stiffness and resilience, making them suitable for applications like soft robotics, car parts and architectural components.
Researchers developed AI models that can identify signs of heart failure in patients from Appalachia using low-tech electrocardiogram results. The models achieved high accuracy and could potentially provide clinicians with an edge in protecting patients' cardiac health.
Researchers developed algorithms that enable robots to create the best possible outcomes from their actions while minimizing uncertainty and risk. The new strategies allow robots to anticipate human actions, adapt to different scenarios, and prioritize human safety.
Vasile's research aims to map and model an agent's capabilities, particularly in motion, manipulation, and perception, to reliably predict their behavior. The goal is to use this understanding to plan effectively for large teams of agents.
Researchers at North Carolina State University unveiled Rainbow, a self-driving laboratory that autonomously discovers high-performance quantum dots. The system combines advanced robotics and AI to conduct up to 1,000 experiments per day, accelerating materials discovery.
Researchers developed ProTac, a novel vision-based soft sensing skin for robots, enabling real-time environmental perception and dual-mode sensing. The system can detect approaching objects from multiple angles and recognize multiple touch points with high accuracy.
Research finds that fish use twice as much energy while staying still due to instability caused by their swim bladder. This has significant implications for the design of miniature aquatic robots.
A wearable robot has been upgraded to provide personalized assistance to ALS and stroke patients. The device uses machine learning and a physics-based model to adapt to an individual user's movements, offering more nuanced help with daily tasks.
Researchers at UC Berkeley developed an AI-powered training method called Human-in-the-Loop Sample Efficient Robotic Reinforcement Learning (HiL-SERL) that enables robots to perform complicated tasks with precision and speed. With human feedback, robots learn from demonstrations and real-world attempts, achieving a 100% success rate in...
A team of researchers has developed a way to harness the swimming abilities of moon jellyfish, enabling them to steer the animals toward remote ocean areas. The cyborg jellies have the potential to aid in deep-sea research and provide inspiration for next-gen underwater vehicles with improved energy efficiency.
A new magnet manufacturing process has been developed that produces strong permanent magnets quickly and uses less energy and is less expensive. The technique, called friction stir consolidation, eliminates porosity in the magnetic material and reduces oxidation.
Researchers developed a novel 3D printing technique called IPS 3DP to create personalized implants with specific mechanobiological properties. The method enables the creation of structurally complex hydrogels with hierarchical microstructures and strain-stiffening behavior, paving the way for advanced biomedical applications.
Researchers developed a bio-inspired bistable robotic gripper with tunable energy barrier, achieving rapid, compliant, and powerful grasping behavior. The gripper can adapt to different tasks and environments through dynamic energy barrier modulation, enabling efficient interaction with objects.
A team of scientists has developed microrobots that use sound waves to coordinate into large swarms exhibiting intelligent-like behavior. The swarms can navigate tight spaces and re-form themselves, making them suitable for tasks like cleaning up pollution and delivering drugs directly to a problem area.
Researchers developed an alginate-based microrobot that can be tracked using Magnetic Particle Imaging (MPI) and performs real-time localization, selective thermal therapy, and cell delivery. The robot is powered by a single magnetic actuation system independent of conventional medical imaging devices.
Researchers have developed a catalyst-free ionogel made from cellulose and an ionic liquid that exhibits exceptional strength and conductivity, outperforming synthetic analogues. The gel is also eco-friendly and low-cost, making it suitable for fully compostable high-performance electronics.
Researchers at ETH Zurich create a novel three-dimensional heart patch for intraventricular implantation, integrating into existing heart tissue. The RCPatch combines a fine mesh, 3D-printed scaffold, and hydrogel with living cells to promote complete repair and regeneration of damaged heart tissue.
A large-scale study found that Green AI significantly improves operational and environmental performance in Pakistani SMEs, but only when leaders invest, and institutions are in place. Adoption works under the right conditions, with perceived ease of use and usefulness driving behavior.
Developed by a research team at POSTECH, the robot uses human muscle proteins as inspiration to generate strong force while navigating through tight spaces. The technology has potential applications in various fields, including medical settings, industrial environments, home cleaning, and caregiving robots.
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.
The research develops a comprehensive family assistant capable of performing various tasks like picking up toys and fetching items. The robot uses YOLOv11 object recognition and flexible gripper to recognize objects of varying sizes and weights with high accuracy.
Researchers create a technique to model organic objects, creating photorealistic 3D images of complex shapes for autonomous sorting. This method improves robotic systems that sort microscopic marine fossils used in climate research.
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.
Researchers have developed soft artificial muscles that provide the performance and mechanical properties required for building robotic musculoskeletal systems. The new muscles can be battery-powered, enabling robots to move more naturally and safely in unstructured environments.
Researchers found that Earth's gravity pulls down on sand more strongly than previously thought, making it more rigid and reducing the likelihood of getting stuck. This discovery highlights the importance of physics-based simulation in analyzing rover mobility on granular soil.
A new robotic slip-prevention method has been developed to improve robots' grip and handling of fragile or slippery objects. This bio-inspired approach allows robots to predict when an object might slip and adapt their movements in real-time, outperforming traditional strategies.
Researchers highlight the potential of solvent-based recycling and AI-assisted sorting to recycle complex plastics. However, the study emphasizes that replacing fossil-based plastics with biobased alternatives poses significant challenges, requiring comprehensive approaches and life cycle assessments.
MIT engineers developed a versatile demonstration interface that allows users to teach robots new skills in three intuitive ways: remote control, physical manipulation, or demonstration. This innovation expands the type of users and 'teachers' who interact with robots, enabling robots to learn a wider set of skills.
Scientists at Columbia University have developed a process called 'Robot Metabolism' that enables machines to absorb and reuse parts from other robots or their surroundings. This new paradigm allows robots to physically sustain themselves, grow, adapt, and repair using materials from their environment or from other robots.
Researchers developed a self-driving lab that collects at least 10 times more data than previous techniques, dramatically expediting materials discovery research while slashing costs and environmental impact. The system uses dynamic flow experiments to continuously characterize samples, capturing data every half second.
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.
Researchers demonstrated R-STDP synaptic plasticity in a single ferroelectric floating-gate device, enabling SNN to simulate robotic capture tasks with excellent performance. The network achieved a success rate up to 85.5% in dynamic capturing tasks.
Researchers developed an AI system that enables a four-legged robot to adapt its gait to different terrain, just like animals. The robot learned to switch gaits on the fly and navigate uneven surfaces without any alterations to the system itself, overcoming previous limitations around adaptability.
Yen-Ling Kuo, a UVA computer scientist, has been awarded the NSF CAREER Award to help robots understand and respond to human behavior. Her research focuses on building AI systems that can reason, communicate, and collaborate like humans, enabling robots to support people in various settings.
Researchers developed a soft electroactive polymer eel-like robot that can explore underwater environments with minimal impact on wildlife and fragile structures. The robot uses dielectric elastomer material, enabling it to swim efficiently without causing harm to the environment.
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.
Artificial intelligence (AI) is revolutionizing medical needle procedures by providing unprecedented levels of accuracy and precision. AI-powered robots can assist physicians in complex tasks, enabling safer and more effective procedures. The four components of AI guidance are formalized, categorizing current systems into Eyes-on/Hands...
Researchers at the University of Colorado Boulder have created a new way to build and control tiny particles that can move and work like microscopic robots. The team's method combines high-precision 3D printing and microstenciling, allowing for precise surface patches on active particles of arbitrary shape.
The FiLM-Scope surgical microscope offers precise 3D imaging using 48 tiny cameras, creating a detailed 3D map of the scene in real time. This technology can expand possibilities in manual and robotic microsurgery.
A fully autonomous robotic system developed by MIT researchers can measure important material properties like photoconductivity, increasing the speed and precision of research. The system uses machine learning and robotics to analyze new semiconductors and optimize the development of more powerful solar panels.