Articles tagged with Autonomous Robots
Researchers found that toddlers' activity levels increased in the presence of an active robot, particularly when the robot moved autonomously. The study's findings suggest that assistive robots like GoBot may be effective in promoting physical activity in young children.
Researchers developed a light-driven, toroidal micro-robot that can navigate complex environments like medicine and environmental monitoring. The innovation uses liquid crystalline elastomer to overcome viscous forces and enables autonomous movement in low Reynolds number regimes.
Researchers at Cornell University have developed microscale robots that can change shape and move independently. The robots are printed as a 2D hexagonal 'metasheet' but, with the application of electricity, transform into pre-programmed 3D shapes and crawl.
A team of Würzburg researchers is using a swarm of autonomous robots to explore the Martian canyon system, Valles Marineris. The robots will collect data on the canyon's geology and search for signs of liquid water and potentially life, shedding light on the planet's habitability.
The WVU team, led by Yu Gu, is testing Loopy's ability to 'co-design' itself and learn to mark contaminated areas. Inspired by natural phenomena like ant swarms and tree roots, Loopy changes form in response to its environment.
The new battery can capture oxygen from air and use it to oxidize zinc, creating a current of up to 1 volt. It powers an actuator, memristor, clock circuit, and sensors, making it ideal for robotics and medical applications.
The research team at HKUST has developed a novel artificial compound eye system that offers a high sensitivity at least twice that of existing market products. This innovation can be applied in various scenarios, such as drone navigation and emergency rescue.
Researchers have developed AI systems that use photos or videos to create simulations for training robots in real settings. The RialTo system generates highly accurate simulations of specific environments, while the URDFormer system creates generic simulations quickly and cheaply. These advancements aim to lower costs and increase acce...
The EMERGE project aims to demonstrate a new framework for coordinating artificial systems and humans. Shared awareness enables simpler AI systems to work together effectively, reducing energy costs and increasing efficiency.
A collaboration of scientists, ethicists, and researchers aims to create a consensus definition for diverse intelligent systems, including AI, LLMs, and biological intelligences. The proposed approach will provide a common language for recognizing, predicting, manipulating, and building cognitive systems.
Researchers at Binghamton University have developed self-powered aquatic robots that can skim across water and detect environmental data. The devices use ocean bacteria to generate power, with an average output of 1 milliwatt, enough for mechanical movement and sensor tracking.
Researchers at NC State University have developed a way to transform a single plastic structure into over 1,000 configurations using three active motors. The findings could pave the way for adaptable robotic systems that can take on multiple functions and carry loads.
Researchers at TU Delft developed an insect-inspired navigation strategy for tiny, lightweight robots, allowing them to return home after long trajectories while requiring minimal computation and memory. The strategy combines visual breadcrumbs and step counting to enable autonomous navigation in cluttered environments.
UCF researchers George Atia and Yue Wang received a $1.2 million DARPA grant to develop AI-based technologies that can help autonomous systems adapt to unknown variables and overcome simulation-to-real gap issues.
Eötvös Loránd University researchers develop first large-scale autonomous drone traffic solution, combining route planning and bio-inspired flocking models to avoid conflicts and manage remaining issues. The system can handle up to 5000 drones in two dimensions with varying speeds and priorities.
The University of Maryland team created a camera mechanism that mimics the involuntary movements of the human eye, resulting in sharper and more accurate images. The Artificial Microsaccade-Enhanced Event Camera (AMI-EV) has implications for robotics, national defense, and industries relying on accurate image capture.
Scientists at UVA and Toyota Research Institute create language representations of driving behavior to enable robots to associate words with environmental interactions. This allows cars to provide guidance and adjust speed in challenging situations, improving safety and usability.
Researchers at Delft University of Technology use drone racing to test neural-network-based AI control systems planned for next-generation space missions. The goal is to achieve optimal onboard operations by continuously replanning trajectories, reducing resource consumption and boosting mission autonomy.
Researchers have developed a new photonic chip that can process, transmit and reconstruct images in nanoseconds, eliminating optical-electronic conversions. This technology holds promise for revolutionizing edge intelligence in machine vision applications.
Researchers developed a novel methodology utilizing digital twins to establish the usefulness of built environment design guidelines for robots. Digital twins allow for real-time monitoring, hazard identification, and training a robot's algorithm before deployment.
The team aims to create a system that can deliver items without human contact, using cables, knots, and multiple robots. They will focus on scaling up the transport of small objects like a basketball and solar panel.
Research reveals that powerful sediment flows, not methane gas eruptions, maintain prehistoric seafloor pockmarks off the California coast. Sediment gravity flows have caused erosion in the center of each pockmark, maintaining these unique underwater morphologic features over time.
A US Army research collaboration with Boston University's KABlab used an AI machine learning robot to create a record-breaking energy-absorbing shape, breaking the known record of 71% efficiency. The shape has four points, like thin flower petals, and is taller and narrower than early designs.
A study by UMass Amherst researchers reveals key features for developing effective robotic guide dogs, including two-hour battery life, camera orientations, and audio sensors. The research aims to address barriers to adoption of canine guide dogs, which are currently limited by cost, allergies, and physical limitations.
Researchers at Delft University of Technology developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. The drone's deep neural network processes data up to 64 times faster and consumes three times less energy than when running on a GPU.
A snail-inspired robot has been developed to mimic the motion of a snail, featuring a sliding suction mechanism that enables it to slide on water and climb walls. The robot achieves comparable sliding ability as snails, carrying loads up to 1kg without energy consumption.
Researchers have created a method to control pneumatic artificial muscles with embedded bifurcation structures, which can generate diverse dynamics and patterns. This breakthrough enables robots to exhibit more adaptable and flexible movements, streamlining hardware and software development.
The WVU Research Experience for Undergraduates program aims to solve real-world problems in Appalachia using mobile robotics. Students will conduct independent research in areas like drone navigation and swarming behaviors, focusing on enabling change with robotics tools.
A new international research project, RoboSapiens, aims to make industrial robots more adaptable and reliable by utilizing artificial intelligence. The project, led by Aarhus University, will focus on four use-cases: autonomous ships, human-robot interactions, warehouse robots, and laptop refurbishment.
Researchers at the University of Sydney and Queensland University of Technology have developed a new approach to designing cameras that process and scramble visual information. The approach, known as 'sighted systems,' creates distorted images that can still be used by robots to complete tasks but do not compromise privacy.
A new study published in The Journal of Experimental Social Psychology reveals that high-tech bots are more likely to be held responsible for civilian deaths, even when the incidents are identical. Researchers found that people perceive robots as more culpable if described in a more advanced way.
A new robot can mimic the two-handed movements of care-workers, allowing them to dress individuals with ease and freeing up time for health and mental well-being. The robot was trained using learning from demonstration, where a human demonstrates the motion required, and has been tested in laboratory settings.
Researchers developed an unmanned forestry machine that can safely pick up logs using computer vision, autonomous navigation, and manipulator control algorithms. The machine reduces labor costs while minimizing environmental impact, promoting sustainable forestry.
A new approach to nuclear facility decommissioning uses a symbiotic autonomous robot ecosystem, leveraging CPS coordinated through a digital twin interface. This innovation enhances safety, efficiency, and operational awareness in high-risk environments.
A new machine learning approach combines computer vision with deep-learning algorithms to pinpoint problem areas in concrete structures. The system enables efficient identification and inspection of cracks using autonomous robots, reducing the overall inspection workload.
Researchers at Universiteit van Amsterdam developed an autonomous chemical synthesis robot with integrated AI, outperforming human chemists in terms of speed and accuracy. The 'RoboChem' system can perform various reactions while producing minimal waste and delivering results quickly.
Researchers at KTH Royal Institute of Technology have developed a method to manipulate the shape of materials through microscale melting and cooling, enabling autonomous shapeshifting in 3D. This technology has far-reaching implications for industries such as aerospace and architecture.
Researchers at the University of Oxford have created a standardized safety test to assess how dangerous robotic lawnmowers are to hedgehogs. The test uses specially designed hedgehog crash test dummies and has found that many models pose a threat to these animals, especially at night when they are most active.
Dr. Hambuchen's affordance template innovation allows remote humans to interact with robots as supervisors, guiding them to complete tasks while maintaining autonomy. This technology has significant implications for NASA's space exploration and deep-sea exploration, overcoming the challenge of time delays.
Researchers developed a network that combines 3D LiDAR and 2D image data to improve small object detection accuracy. The model outperformed existing methods in various noise conditions, with average precision improvements of up to 7.18%.
Researchers aim to create robots that can change tasks autonomously and explore settings to optimize performance. The project will focus on battery recycling and energy efficiency, with the goal of reducing industrial waste.
Researchers have developed twisted ringbots that can roll forward, spin like a record, and follow an orbital path around a central point. These devices can navigate and map unknown environments without human or computer control.
A new AI system, Coscientist, has demonstrated its ability to autonomously learn about Nobel Prize-winning chemical reactions and design successful laboratory procedures. The system achieved this in just a few minutes, outperforming human chemists in some cases.
A new composite material, engineered using computer algorithms and 3D printing, can change its behavior in response to temperature changes. The material is designed to perform specific tasks depending on the environment, enabling future generations of autonomous robotics.
Researchers at ETH Zurich developed an autonomous excavator called HEAP to construct a 6-meter-high and 65-meter-long dry-stone wall. The excavator uses sensors, machine vision, and algorithms to place stones in the desired location, achieving a high level of precision and speed.
The team developed a set of 11 actions allowing the robotic arm to pick up a wide variety of foods, including soups and pre-cut pizza. The system uses user-input images to identify foods and applies unique trajectories for scooping motions or wiggling inside food items.
A team led by Lehigh University's Yahong Rosa Zheng is developing an Autonomous Observatory Node that can collect and transmit data from underwater sensors wirelessly, without the need for expensive subsea cables. The prototype aims to operate at depths of up to 1000 meters, enabling researchers to study extreme environments and detect...
The Beckman Institute's new Electrolab robot automates electrochemical experiments and data analysis, reducing manual effort and time for researchers. The instrument can explore alternative power sources and analyze chemical reactions to combat climate change.
A new project aims to help robots assess risks and make autonomous decisions. The research focuses on quantifying ambiguity in robot perception to improve safety and efficiency.
A team of engineers at the University of Pittsburgh has created a new robot that can navigate complex environments using bio-inspired neural networks. The robots will be able to avoid obstacles and learn from their experiences, enabling autonomous navigation for various applications such as commercial transport and disaster response.
Australian researchers developed an algorithm that can intercept and shut down man-in-the-middle cyberattacks on unmanned military robots. The algorithm, tested on a replica of a US army combat ground vehicle, was 99% successful in preventing malicious attacks.
Researchers are working on EdgeRIC: Real-time radio access network intelligent control, aiming to enhance wireless communication and machine learning. The project involves developing intelligent systems that can adapt to changing conditions, prioritizing users and acquiring lower latency for applications.
Researchers aim to access ocean waters hidden beneath ice shelves, where critical information about climate change is stored. An intelligent mothership and coordinated marine robots will communicate data from under-ice cavities, optimizing sampling and configuration.
Researchers have successfully developed a robot that can autonomously navigate through living lung tissue, avoiding vital structures such as airways and blood vessels. This innovation enables surgeons to reach previously inaccessible small tumors, improving treatment outcomes for patients with lung cancer.
Researchers developed a groundbreaking soft valve technology that integrates sensors and control valves into soft robots, eliminating the need for electric components. This innovation enables safe operation underwater or in environments with sparks risks, reducing weight burdens and costs.
Researchers proposed a novel self-organizing approach for robot swarms to achieve consensus, combining aspects of centralized and decentralized control. This method reduces uncertainty sources and enhances collective perception accuracy, enabling robots to fuse sensor information without global or static communication networks.
Researchers at North Carolina State University have created a soft robot that can navigate simple mazes without human or computer guidance. The new robot has an asymmetrical design, allowing it to turn and move in arcs, enabling it to navigate complex and dynamic environments.
Researchers are developing an autonomous robot to identify potential pipeline leaks and structural failures during subsea inspections, reducing costs and risk. The SmartTouch technology uses stress wave-based smart touch sensors, video cameras, and scanning sonars to inspect flange bolts and detect corrosion.
A new framework, SHARC, provides a way for shore-based scientists, citizen scientists, and the public to collaborate with robotic sampling processes. The framework enables remote participants to conduct shipboard operations and control robotic manipulators using basic internet connection and consumer-grade hardware.
The NIMS-OS middleware coordinates materials-search AI and robotic experiment systems for efficient automation. The system successfully executed a model experiment to identify effective electrolytes for lithium metal electrodes.