Articles tagged with Autonomous Robots
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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 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.
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.
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.
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.
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 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.
Researchers at MIT created insect-scale robots that can emit light during flight, allowing for precise motion tracking and potential communication between robots. The ability to emit light also enables the robots to call for help in search-and-rescue missions.
A new optimization tool can quickly improve performance of various autonomous systems, including walking robots and self-driving vehicles. The tool uses automatic differentiation to identify tweaks that achieve desired outcomes, reducing trial-and-error simulations.
Researchers draw inspiration from insect intelligence to create more efficient and robust AI for small autonomous robots. Advances in biology and technology enable fine-grained investigations of insect brains, leading to faster energy efficiency and speed in sensing and neural processing.
Researchers developed soft robots that can navigate complex environments like mazes and climb slopes of loose sand. The twist in the robot's design allows it to rotate around obstacles and 'snap' into place, enabling autonomous navigation without human or computer input.
Researchers at MBARI use eDNA and autonomous underwater robots to survey marine biodiversity, providing clues about changes in sensitive areas and the presence of rare species. The technology enables persistent monitoring of ocean ecosystems, supporting food webs and regulating climate.
Researchers used microrobots to demonstrate how a swarm of animals can complete an optimum flight response even if individual animals do not notice the threat or they react incorrectly. The study suggests that missing information from individual members can be compensated by other members, which may explain why animals organize themsel...
Researchers warn of substantial risks associated with AI in agriculture, including cyber-attacks and environmental degradation. They suggest involving ecologists in technology design to avoid scenarios like overuse of fertilisers and soil erosion.
A new collision-avoidance system using explainable artificial intelligence enables robots to safely navigate and perform tasks in space. The system was tested in simulations and prototype design, showing promise for future applications in on-orbit servicing and assembly.
Researchers have developed an autonomous robot that can open its own doors and find nearby outlets to recharge. The innovation addresses a significant challenge in robotics, enabling helper robots to work independently without human assistance.
SUTD researchers develop sensor that assigns dirt score to areas based on visual and tactile analysis, allowing for more efficient exploration of complex spaces. The sensor is integrated with a smart algorithm that directs the robot to focus on areas with high dirt probability.
Researchers at University at Buffalo developed a system for autonomous robots to behave like beavers, using surroundings to build complex structures and overcome obstacles. The robot continuously monitors and modifies its environment to create ramps and overcome uneven terrain.
Researchers at Université de Genève discovered that a lizard's skin color pattern forms a cellular automaton, a natural process generated by biological evolution, using a computational system invented by John von Neumann. Computer simulations implemented the discretisation of Turing's equations, which linked the biology-driven mechanis...
Researchers at the University of Sheffield developed a computer model to understand how bees use vision to avoid collisions. The model suggests that adding speed detection capabilities to existing motion-direction detecting circuits could enhance the navigation and routing algorithms for autonomous flying robotics.
Researchers developed a supervised autonomous robot that excelled in open bowel surgery on pigs, potentially reducing complications and improving surgical outcomes. With further development, autonomous robotic surgery may take human error out of the operating room, benefiting patients undergoing soft tissue surgeries.
A new algorithm developed by MIT researchers combines SLAM and object recognition to improve robots' performance. The system uses SLAM information to augment existing object-recognition algorithms, achieving comparable performance to special-purpose robotic object-recognition systems that factor in depth measurements.
Researchers at MIT and Harvard have developed a soft, peristalsis-driven robot that can inch along surfaces using segments of artificial muscle made from nickel-titanium alloy. The robot, named Meshworm, is remarkably resilient, surviving multiple blows with a hammer without sustaining damage.
Researchers at Duke University have made significant advancements in autonomous robot surgeries, demonstrating the feasibility of robots performing complex procedures under real-time 3-D ultrasound guidance. The technology has the potential to improve patient safety by reducing radiation exposure and enhancing surgeon precision.