Articles tagged with Robotics
A new machine learning model interprets leg motion as expended energy, providing a more accurate measure of calories burned. The device has been shown to have double the accuracy of commercial smartwatches and activity trackers.
A hierarchical 3D LiDAR localization method improves robot positioning in large outdoor spaces even after seasonal changes. The method integrates deep learning techniques to extract discriminative local features from 3D point clouds, making it robust to environmental variability.
Researchers found that participants initially overestimated the awkwardness of their gait but improved as they practiced using the prosthetic device. Despite significant performance gains, participants remained inaccurate in assessing their own body movement, focusing on torso position rather than prosthetic behavior.
A team of researchers from North Carolina State University has created a new method to produce ultra-stretchable, superomniphobic materials using laser ablation. The materials can withstand extreme stretching and deformations while maintaining their liquid-repellent properties.
Researchers at PolyU have discovered that combining music and empathetic speech in robots can foster a stronger bond between humans and machines. Music enhances the emotional resonance of on-screen robots, making interactions feel more real, but its impact diminishes over time.
A team of EPFL roboticists has designed a modular robot that shares power, sensing, and communication resources among its individual units, significantly increasing its resistance to failure. The approach, called hyper-redundancy, allows the robot to continue functioning even if one module fails, by compensating with neighboring modules.
Researchers discovered functional gradients in elephant and cat whiskers, allowing for precise touch sensing. The stiff-to-soft transition enables elephants to navigate their environment with ease, including picking up delicate objects.
A new tool has arrived: a highly customizable, open-source robot design called The Robot of Theseus (TROT), developed at the University of Michigan. TROT can model most mammals and enable direct comparisons of variations on the same structure, helping researchers discover the advantages related to limb length and segmentation.
The Path Planning Transformer (PPT) model learns to plan efficient paths from occupancy maps, avoiding obstacles with a modified right-of-way rule. This approach improves path smoothness and adaptability while reducing computational requirements, with potential applications in industrial automation and collaborative robot systems.
Researchers at the University of Pennsylvania have developed HoloRadar, a system that enables robots to reconstruct hidden 3D spaces beyond their line of sight using radio waves processed by AI. This capability can improve safety and performance in driverless cars and cluttered indoor settings.
Researchers at UC3M develop a new methodology for autonomous arm movement using observational learning and intercommunication between limbs. The ADAM robot can perform daily tasks such as setting and clearing the table, ironing, or tidying up the kitchen with fluid efficiency and natural movement.
Recent advancements in flexible electronics have transformed robotic systems, allowing for conformal integration of electronic components and autonomous decision-making. Flexible devices have improved operational accuracy and transformed the interaction methods of robots, laying the foundation for intelligent robotics development.
Researchers at USC's Kanso Bioinspired Motion Lab discovered that sea stars' tube feet respond independently to changing loads, enabling local control strategy. This decentralized approach can optimize robot locomotion and adapt to environmental changes.
Researchers at Harvard University have developed a new design method for optimizing rolling contact joints in robots, which can lead to better grippers, assistive devices, and more efficient robotic movement. The optimized joints performed spectacularly, correcting misalignment by 99% in knee-assist devices.
A Kennesaw State University researcher is working on a new type of robotic hand that can move more naturally, enabling robots to handle objects with greater precision. The research uses advanced artificial intelligence to replicate human-like behavior, allowing robots to interact with their environment in a more intuitive way.
Five IIT researchers receive Proof-of-Concept grants to develop innovative health technologies, including a smart microscope and edible pills. These projects aim to tackle cancer, dyslexia, and diagnostics with cutting-edge technologies like quantum computing and near-infrared photonic chips.
Researchers at OIST found that combining inner speech with working memory enhances AI learning, enabling easier adaptation to new situations. This discovery holds promise for developing more human-like AI systems capable of handling complex, dynamic environments.
Researchers have identified a new vulnerability in AI-powered robots, where malicious text on signs or objects can hijack their decision-making. The study, led by UC Santa Cruz professors Alvaro Cardenas and Cihang Xie, presents the first academic exploration of environmental indirect prompt injection attacks against embodied AI systems.
A partnership between University of Copenhagen and Danish Technical University aims to improve Europe's resilience and competitiveness by boosting innovation. The initiative seeks to develop the innovation ecosystem, drive urban development, and attract talent, companies, and investors.
Researchers developed a new approach to teach robots to learn human grasping skills, enabling adaptive and universal grasping to diverse objects. The framework captures multimodal tactile data and encodes it into high-level semantic grasping states, allowing robots to recognize general states of interaction.
Scientists created biologically realistic artificial cilia using hydrogel, enabling precise control over their motion. The tiny structures can be powered by low-voltage electrical signals and have shown remarkable durability and versatility.
Researchers at Columbia University develop a robot that can learn facial lip motions through observational learning, enabling it to articulate words in various languages and sing songs. The robot's ability to move its lips in sync is expected to improve with time and practice, paving the way for more holistic robot communication.
A team of researchers from Keio University has developed a novel system that uses Gaussian process regression to model and reproduce complex human motions. This enables robots to adapt to touch and interact with objects in dynamic environments, improving their dexterity and versatility.
Researchers create a powerful modular soft origami actuator that enables high-speed, agile movements in search and rescue applications. The Electrohydraulic Origami (EHO) actuator achieves remarkable dynamic performance, outperforming existing soft actuators.
Researchers developed a new type of bio-hybrid actuator using locust hind legs, achieving remarkable leaping capabilities and ultra-low power consumption. The actuators enable high maneuverability and autonomous self-righting capabilities, making them suitable for confined space exploration and precision medical delivery.
Researchers used robotics and 'click' chemistry to synthesize over 700 metal complexes in a week, identifying six potential new lead compounds. An iridium-based antibiotic candidate showed high effectiveness against bacteria while being non-toxic to human cells.
Researchers have developed a strong, defect-free composite material that can phase-shift under stress to dissipate energy. The material, created using additive friction stir deposition, has potential applications in defense, infrastructure, aerospace, and sporting equipment.
A team of researchers developed a multi-material, multi-module microrobot that can grab, carry and release microscopic objects. The microrobot features two parts: one reacts to pH changes to grip an object, while the other responds to magnetic fields for movement.
A new AI framework uncovers simple, understandable rules governing complex dynamics in nature and technology. The AI generates equations that accurately describe complex systems, revealing hidden variables that govern their behavior. This approach offers scientists a new way to leverage AI for understanding complex systems.
Researchers propose a novel approach to AI hardware design by integrating neuromorphic systems and compute-in-memory techniques to overcome the limitations of modern computing hardware. This could lead to more efficient data center energy use and enable real-time intelligence in compact, power-constrained systems.
Researchers propose integrating processing capability within memory units to reduce energy consumption and latency in AI applications. Inspired by the brain's efficient processing mechanisms, spiking neural networks (SNNs) can respond to irregular events and store information in the same place.
A Harvard-designed bio-logger captures high-fidelity audio of sperm whale codas, which are later analyzed by machine learning models to uncover structured communication. Recent results show that sperm whales have their own alphabet and use vowels and diphthongs in their language.
Researchers at Penn and UMich created microscopic swimming machines that can independently sense and respond to their surroundings, operate for months, and cost just a penny each. The robots are powered by light and can be programmed to move in complex patterns, sense local temperatures, and adjust their paths accordingly.
Developed by U-M and Penn, the robots can sense and respond to their surroundings, operate for months, and cost just a penny each. They have applications in monitoring cell health and aiding manufacturing.
A new robotic design uses vine-like structures to lift and grasp a variety of objects, including humans, with a gentler approach. The robot can snake around obstacles, squeeze through tight spaces, and even secure itself in a closed loop to create a sling.
Researchers developed a novel bioelectronic material that transforms from a rigid film to a soft, tissue-like interface upon hydration, enabling seamless integration with living tissues. The device, called THIN, has been shown to record biological signals with high fidelity and stability in animal experiments.
The startup aims to bring human integration and industrial usability to its robots, which will operate safely and efficiently in industrial environments. The company's mission is to create a future where humans and robots collaborate daily.
University of Utah engineers developed an autonomous approach using proximity and pressure sensors, training an artificial neural network on grasping postures. Study participants demonstrated improved grip security, precision, and less mental effort when using the AI-enhanced prosthesis.
Rothemund aims to harness phase transitions to improve controllability of soft robots, enabling tasks like grasping and crawling through tight spaces. The project seeks to develop new materials and a model robot arm for three-dimensional motion control.
A new model developed by Osaka Metropolitan University Assistant Professor Takuya Fujinaga enables robots to accurately pick tomatoes, with an 81% success rate. The system evaluates the ease of harvesting for each tomato, taking into account factors such as fruit clustering and stem geometry.
A breakthrough AI system called OmniPredict can predict human pedestrian behaviors with unprecedented accuracy, revolutionizing self-driving cars and urban mobility. The model combines visual cues with contextual information to anticipate pedestrians' next moves, reducing the risk of accidents and improving traffic safety.
Researchers at Stanford University have successfully used machine-learning-based control to operate a robot on the International Space Station, allowing for faster and more efficient navigation while maintaining safety. The system, which includes a warm start feature, enables robots like Astrobee to move through complex environments wi...
The MIT team developed a new AI-based controller that enables the robot to follow gymnastic flight paths, such as executing continuous body flips. The robot's speed and acceleration increased by 450% and 250%, respectively, compared to previous demonstrations, making it comparable to insects in terms of agility.
Collaborative robots require adaptive solutions to handle dynamic environments. A new approach integrates reactive planning and control, enabling seamless interaction with humans and surroundings. The method uses combined learning and optimization to generate feasible motion for mobile manipulators, improving efficiency and performance.
MIT engineers developed artificial tendons made from hydrogel to connect lab-grown muscles with robotic skeletons. The tendons improved the robot's motion and force output by three times, enabling faster and more efficient biohybrid robots.
Researchers developed soft robots inspired by manta rays, utilizing magnetic fields to move, recharge power supply, and perform tasks autonomously. The magnets stabilize electrochemical reactions in flexible batteries, enhancing performance and efficiency.
The UBC robotic platform helps scientists understand how the brain keeps us standing by mimicking delays in sensory feedback. By tweaking forces and adding short delays, the robot reveals that our sense of space and time work from the same playbook.
In a study by SWPS University, researchers found that children interact with polite robots almost always respond politely. Younger children and girls are more likely to anthropomorphise the robot, suggesting social cues in interactions between children and robots are crucial for positive learning outcomes.
Scientists at Seoul National University create an interlaced origami structure that can be folded, rolled up for storage, and deployed with high strength. The design overcomes limitations of traditional corrugated structures, enabling multi-layer folding and smooth unwinding.
Researchers developed a new robot self-modeling approach using part-based Neural Radiance Fields, eliminating the need for depth sensors and human annotation. The system enables robots to build dynamic 3D models of themselves, accelerating the deployment of autonomous machines in unpredictable environments.
Researchers develop soft fiber-like pumps powered by ambient energy to drive the next generation of robots and wearable devices. The innovation enables robots that operate autonomously and wearable devices that provide comfort without cumbersome batteries.
A new survey provides a three-module framework for Embodied AI, addressing perception, decision-making and execution. The goal is to develop general-purpose intelligent agents that can perform complex tasks like cleaning the room.
Researchers developed a 3D lattice iontronic sensor that accurately detects sophisticated tactile interactions by linearizing both electrical responses and mechanical behaviors. The sensor, comprising a hydrogel lattice encapsulated in an origami-inspired framework, enables precise detection under extreme dynamic loading.
The new statistical method adapts to data structure, resisting outliers and providing greater stability on non-Euclidean spaces. This improves the reliability of analysis in areas like medical imaging, computer vision, and machine learning.
Researchers at ETH Zurich developed microrobots that can navigate blood vessels with precision, delivering drugs directly to the target location. The robots use magnetic nanoparticles and advanced navigation systems to avoid obstacles and reach their destination.
The researchers developed a chromatic filtration strategy to narrow the emission spectrum of mechanoluminescent materials, resulting in high spectral resolution and reduced noise. The new technology has significant potential for applications such as wearable sensors and healthcare motion monitoring.
Oxford researchers have developed soft robots that operate without electronics, motors, or computers, using only air pressure to generate complex, rhythmic movements. The robots can automatically synchronize their actions and perform tasks like sorting beads into containers without external control.
The University of Houston is designing robotic hands with dexterity for industries such as healthcare, agriculture, and manufacturing. The team, part of the NSF Convergence Accelerator program, has received $5 million in funding to develop hybrid polymeric materials that can mechanically retract and perform motions like flexion.
Researchers explore Field-assisted Additive Manufacturing for micro/nano device fabrication, enabling targeted motion, cell growth, and flexible electronics. The technology holds promise for industries such as biomedical engineering and microrobotics.
The Omnia bionic leg, developed by the Italian Institute of Technology, won the Cybathlon 2024 leg prosthesis race with its semipowered knee and ankle system. Andrea Modica, a transfemoral amputee and pilot of the device, successfully completed 9 out of 10 tasks in just 2 minutes and 57 seconds.