Articles tagged with Robotics
Researchers have advanced humanoid robot control, motion planning, and perception using Valkyrie, a 10-year mission robot developed by NASA. The university will continue research with Talos, a 1.75-metre-tall robot, to study human-robot cooperation and adapt to changing environments.
Researchers developed a wearable vibration sensor capable of detecting subtle body movements without external power, opening new possibilities for healthcare technologies. The sensor accurately captures physiological signals and detects extremely faint vibrations across a broad frequency range.
Florida Atlantic University has received a $4.5 million grant from the US Air Force to establish a high-fidelity platform for autonomous decision-making and real-time sensor fusion research. The T-1A Jayhawk simulator will be used to study cognitive performance, situational awareness, stress and decision-making under pressure.
Researchers from Yokohama National University created a highly precise mobile robot with a wide range of motion using piezoelectric actuators, achieving path errors of under 0.5-4.75 µm. The robot's performance demonstrated its suitability for precise positioning and wide transportation of objects of various sizes.
Researchers at Aalto University have discovered how tiny organisms break the laws of physics to swim faster, offering new pathways for engineering and medicine. The team found that non-reciprocal motion, known as time reversal symmetry breaking, is key to efficient swimming in the mesoscale realm.
Researchers at King's College London develop SimTac platform to simulate biologically inspired robotics, creating artificial sensors with a human-like sense of touch. This approach reduces the design and training time of tactile robots from 18 months to just two weeks.
Recent advances in robotics, biomimetics, artificial intelligence, and their innovative integration are reviewed. The article highlights key findings in human-robot object handover, aquatic unmanned aerial vehicles, variable stiffness methods for flexible robots, and more.
Researchers created a robotic wing that senses and adapts to water flow, achieving double the stability of a barn owl's glide. The wing consumes five times less energy than traditional AUVs, paving the way for more agile and efficient underwater robots.
Researchers demonstrated a breakthrough in microrobotics: swarms of magnetic microrobots can manipulate objects without physical contact by harnessing fluid-generated torque. The microrobots act as motors to move millimeter-sized passive objects, opening new pathways for precision manufacturing and biomedical applications.
A new material composed of rice grains can bend, buckle, or stiffen differently under slow movements versus sudden impacts without electronics or sensors. This innovative material has potential applications in soft robotics, creating machines lighter, safer, and more adaptable.
Researchers developed an efficient system to detect subtle defects missed by existing inspection systems. The MambaAlign framework captures long-range and orientation-aware context using state-space refinement, achieving improved localization and detection accuracy without excessive computational overhead.
This review constructs a tripartite analytical framework for ionogel actuators, covering material construction, actuation mechanisms, and system integration. It presents a function-oriented classification of materials and evaluates the applicability of seven distinct actuation modes.
Epic Games has acquired Meshcapade, a Max Planck startup that develops solutions for creating and animating digital humans. The technology, based on the SMPL body model, enables realistic human movement and expression in 3D.
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.
Researchers at Harvard's John A. Paulson School of Engineering and Applied Sciences have developed a new fabrication method for printing robotic devices with long filaments featuring precisely placed hollow channels. This allows the device to bend and deform in predetermined ways, enabling the creation of soft robots with predictable s...
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.
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 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.
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.
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 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.
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.
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.
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.
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.
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 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.
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.
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.
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 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.
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 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 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 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.
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.
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.
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.
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...
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.
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.
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.