Articles tagged with Autonomous Robots
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.
The University of Missouri is using a $1 million grant to develop an Industry 4.0 lab, providing engineering students with hands-on learning experiences in the latest industrial revolution's technology-centered job market. The lab will integrate skills at a higher level and keep students at the state-of-the-art level for industry.
Researchers at Purdue University have developed an innovative thermal imaging method called HADAR, which enables artificial intelligence to perceive physical attributes and recover textures in pitch-dark environments. The technology has the potential to revolutionize fields such as autonomous vehicles and robotics.
Researchers have proposed an innovative solution to address limitations of lidar technology, enabling imaging in low SNR environments. The novel technique uses a high-scanning speed AOD and metasurface-enhanced scanning lidar, extending ambiguity range by up to 35 times.
Researchers at Carnegie Mellon University's Robotics Institute have developed a suite of robotic systems and planners enabling robots to explore more quickly, probe the darkest corners of unknown environments, and create more accurate maps. The systems allow robots to do all this autonomously, finding their way and creating a map witho...
Researchers examine whether robots and AI can replicate the ethical concepts attributed to human nurses, including advocacy, accountability, cooperation, and caring. While AI can inform patients about medical errors and present treatment options, it questions its ability to truly understand and empathize with patients' values.
Researchers discovered that honey bees make rapid and accurate decisions by balancing effort, risk, and reward. By studying the bees' brain structure, they created a computer model that replicated their decision-making process, showcasing how simple brains can be efficient.
A robotic system, WormPicker, autonomously detects and manipulates Caenorhabditis elegans for genetic research, increasing productivity for human researchers. The system accelerates studies in diverse areas of C. elegans biology.
A soft robotics glove with integrated sensors and AI can aid patients in relearning daily tasks after neurotrauma, including playing music. The glove provides hand guidance, amplifying dexterity and motor skills.
Researchers at the University of Texas at El Paso have developed an autonomous boat that can carry out bathymetric surveys with unprecedented ease. The robotic vessel uses a multibeam echosounder to measure water depth and detect material types on the seafloor, enabling scientists to create accurate maps of underwater terrain.
A new approach to enhance artificial intelligence-powered computer vision technologies has been developed by UCLA researchers, adding physics-based awareness to data-driven techniques. This hybrid methodology aims to improve how AI-based machinery sense, interact, and respond to their environment in real time.
Researchers at University of California - San Diego developed a new model that trains four-legged robots to see more clearly in 3D, allowing them to autonomously cross complex environments. The robot uses a forward-facing depth camera to synthesize visual information from past frames and estimate its surroundings.
Researchers at TU Delft and EPFL collaborated with ChatGPT to design a tomato-harvesting robot, showcasing the potential of AI in robotics. The study highlights the need for verification and validation of LLM output to prevent misinformation and bias.
Researchers found that manual labor's perceived meaning can predict the adoption of autonomous products. Consumers tend to reject these products due to a loss of meaning in life. Companies can highlight alternative sources of meaning to reduce negative effects on adoption.
Scientists develop elastoactive chains with self-oscillatory, self-synchronizing, and self-snapping behavior, mimicking biological machines. The study explores material properties and potential applications in autonomous robot development.
HBP researchers develop a robotic platform capable of learning as humans do while navigating around a space. The simulated hippocampus alters its own synaptic connections to remember paths, a marked improvement over current methods relying on deep learning.
A new head-worn device allows users to control a mobile robot via head motion and speech recognition, requiring fewer fine motor skills than existing technologies. In a human study, participants performed household and self-care tasks with low error rates, minimal effort, and high perceived ease of use.
The CONVINCE project, funded by €4 million, focuses on developing cognitive deliberation capabilities in autonomous robots to enhance safe and robust operation in unstructured environments. The goal is to enable robots to adapt to their surroundings and tasks autonomously without human intervention.
Researchers at the University of Waterloo used a robot to help students with learning disabilities stay focused, leading to higher completion rates. The study found that students who worked with the robot were generally more engaged with their tasks.
A new clinical trial will assess the efficacy of an AI-powered massage robot, EMMA, in managing chronic low back pain. The study aims to explore the effectiveness of robotic Tuina therapy in alleviating pain and improving health outcomes.
Researchers developed a new non-mechanical 3D lidar system that combines scanning and flash illumination using a chip-based light source, enabling safe navigation in dynamic environments. The system can measure the distance of poorly reflective objects and track their motion, making autonomous driving safer.
Researchers at the University of Arizona found that rock ants follow a methodical search strategy, combining systematized meandering with random movement to efficiently explore new areas. This unique behavior may provide insights into the evolution of exploration strategies in other species.
Researchers found that providing language descriptions of tools can accelerate a simulated robotic arm's learning of tool manipulation. The team used GPT-3 to obtain tool descriptions and showed improved performance in tasks such as pushing, lifting, sweeping, and hammering with new tools.
Scientists at EPFL have developed a method for a flapping-wing robot to land autonomously on a horizontal perch using a claw-like mechanism. The innovation could significantly expand the scope of robot-assisted tasks and enable robots to recharge using solar energy.
University of Missouri engineers are working on a collaborative human-robot order picking system to speed up the online delivery process. The proposed model aims to optimize key decisions in warehouse operations, allowing robots to navigate efficiently and collaborate with humans to increase efficiency.
The University of Manchester's Centre for Robotics and AI will focus on interdisciplinary research, exploring applications of robotics in extreme environments and the intersection of AI and humanity. The centre aims to develop robots that can work safely in hostile zones, such as nuclear decommissioning sites.
Researchers have made significant progress toward creating robots that can build nearly anything, including vehicles, buildings, and even bigger robots. The new system uses complex voxels that can carry power, data, and force, enabling the building of structures with intelligence.
A recent study found that only 14% of workers have seen their job replaced by a robot, while those who experienced displacement overestimated the rate. The study suggests that workplaces are integrating robots and humans in ways that generate more value for human labor.
Researchers at Texas A&M University used functional near-infrared spectroscopy to monitor participant responses during human-robot collaborations. They found that faulty robot actions decreased operator trust and associated it with increased brain activity in the frontal, motor, and visual cortices.
Researchers at WVU are developing software for robots to learn and adapt in real-time, inspired by the neural networks of electric fish. The goal is to enable robots to navigate different terrains autonomously without human supervision.
Researchers at Carnegie Mellon University have developed a new approach for conducting automated science in space by balancing risk and scientific value. The approach uses a model that estimates science value and risk, allowing rovers to chart their own course while protecting against high-risk missions.
Researchers developed a new principle for estimating gravity direction in flying insects and drones by combining optical flow with movement modeling. This allows them to determine the direction of gravity in most situations except when completely stationary, which destabilizes their flight.
The University of Texas at Austin will launch a five-year study on human-robot interactions in public spaces, with the goal of improving safety and communication between robots and pedestrians. The research project will deploy robotic delivery networks on campus, allowing for extensive data collection on human-robot encounters.
The article discusses the development status of space robot technology and relevant on-orbit assembly technology. Key findings include the shift from manual to autonomous assembly and the need for advanced motion planning and control methods to achieve high-precision operations.
Researchers designed a state-of-the-art walking robot that can assemble large constructions in space, such as telescopes. The E-Walker robot proved to be versatile and ideal for future in-orbit missions.
Researchers at MIT designed simple microparticles that can collectively generate complex behavior, generating a beating clock that can power tiny robotic devices. The particles use a simple chemical reaction to interact with each other and create an oscillatory electrical signal.
A team from the University of California San Diego has developed a new system of algorithms that enables four-legged robots to walk and run on challenging terrain while avoiding obstacles. The system combines vision with proprioception, allowing the robot to move efficiently and smoothly in various environments.
Researcher Giuseppe Loianno receives $1 million grant from DARPA to develop USARC robots that can autonomously collaborate in teams. The project aims to create robots capable of executing maneuvers with superior performances compared to human-controlled or current autonomous ground and aerial robots.
A study at the University of Helsinki found that people accept human nurses overruling patient autonomy but reject similar decisions made by robots. The researchers suggest that human empathy is required to consider robot-made solutions equally acceptable as those made by humans. The findings imply that machines cannot comprehensively ...
A team of Swiss researchers has developed Aerial Additive Manufacturing (AAM), a system that uses flying drones to print materials for construction projects. The technology enables on-site manufacturing and building in difficult-to-access or dangerous locations, such as post-disaster relief construction and tall buildings.
Researchers have developed a technology using flying robots that mimic the collective building methods of bees and wasps to construct and repair large structures. The Aerial Additive Manufacturing system consists of drones that work autonomously but are monitored by human controllers, adapting their techniques as needed.
Researchers at Cornell University have created smart microrobots that can walk autonomously using electronic brains. The robots, powered by photovoltaics, feature a complementary metal-oxide-semiconductor (CMOS) clock circuit and platinum-based actuators. With this innovation, scientists can track bacteria, sniff out chemicals, destroy...
Researchers aim to create intelligent drones that can autonomously inspect coal waste storage facilities, detecting cracks and deformities with thermal and visual images. The drones will be equipped with AI-based software to identify potential hazards, providing a faster and long-term solution to prevent environmental damage.
A new AI system uses artificial neural networks to recognize objects more accurately and stably, despite changing visual inputs. The system mimics human eye movements to improve machine vision capabilities, reducing errors in self-driving cars and other applications.