Articles tagged with Robots and Society
The EMERGE project establishes a philosophical, mathematical and technological framework for collaborative awareness in artificial systems. Researchers found that people can understand an artificial system as aware without assuming subjective experience, and that increasing awareness can improve performance.
The HKU Robocon team, consisting of 40 students, won the Asia-Pacific Broadcasting Union's Asia-Pacific Robot Contest 2026, defeating teams from 15 countries. The team's exceptional collaboration, innovative engineering, and operator training contributed to their victory.
The SMASH Team, led by Professor Ping LUO, won the silver medal in robot table tennis at the World Humanoid Robot Games. The team's autonomous humanoid table tennis system, SMASH, is the world's first to use onboard sensing to achieve consecutive strikes and rallies with human players.
Research from the University of Birmingham and other institutions found that interacting with AI-powered customer service robots can reinforce or alter a consumer's self-perception. The study explores how mirroring and mimicry can lead to a 'robotoid humanness' where consumers become more like robots, raising ethical concerns.
Researchers at Seoul National University have developed a novel approach using porous triply periodic minimal surface (TPMS) feet and deep reinforcement learning controller, which significantly reduces battery power consumption in quadruped robots. The solution reduces energy consumption by up to 6.2% while maintaining stable locomotion.
A robotic hand developed at USC can hear a melody once and play it back after just two minutes of self-taught practice on a keyboard. The system, called the Musician Hand, mimics the way the brain and body coordinate fine motor skills through trial and error, offering a new model for machines — and medicine — to approach complex moveme...
A new open-source trajectory-planning system, MIGHTY, has been developed by researchers at MIT and the University of Pennsylvania. The system enables robots to generate smooth flight paths while reacting to obstacles in real-time, making it suitable for applications such as search-and-rescue, last-mile delivery, and industrial inspection.
Researchers emphasize the need for more thorough frameworks to ensure AI-enabled robots embody human values. The field should focus on three complementary lines of defense: rules that shape robot decisions, checks that monitor behavior, and safety reasoning.
Researchers at Binghamton University have created a talking robot guide dog system that determines ideal routes and guides visually impaired users safely to their destinations. The system offers real-time verbal feedback and provides situational awareness, significantly enhancing the user experience.
Researchers propose a foundational framework to help multi-agent, connected systems decide what information they can trust before acting. The 'cy-trust' concept assigns a numerical trust value between 0 and 1 to data from other agents based on sensing, context, network behavior, and past experience.
Researchers at Worcester Polytechnic Institute developed a palm-sized aerial robot that uses ultrasound sensors and AI to navigate through fog, smoke, and other difficult conditions. The drone achieved a success rate of 72% to 100% in navigating challenging courses during 180 tests.
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.
Researchers developed a new AI control system that allows soft robots to learn a broad set of motions once and adapt instantly to changing conditions without retraining. The system combines structural learning with real-time adaptiveness, making it suitable for diverse tasks and environments.
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.
A survey of 4,890 participants found that people are open to using home-care robots as long as they view them beneficially. Collaboration between users and developers is crucial for adoption, with emphasis on ethical considerations. Robots may play a significant role in addressing Japan's aging population and social healthcare challenges.
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.
A team of engineers at Harvard John A. Paulson School of Engineering and Applied Sciences designed a proof-of-concept walking robot using only four moving parts connected by rubber bands and powered by one motor. The robot can find its way through mazes, avoid obstacles, and sort objects by mass without electronic control systems.
Frasky, developed by IIT, combines robotics and AI to address environmental sustainability and labor shortages in agriculture. The robot can navigate autonomously, map its surroundings, and apply selective treatments to grape clusters with precision.
Researchers discovered that humans treat a robotic hand as part of their body schema when working together on tasks, particularly when the robot's gestures are synchronized with those of humans. The study paves the way for better-designed robots that can interact more intuitively with humans.
A new study from the University of Chicago found that children experience less anxiety when reading aloud to a robot than to a human adult. The robot's calming influence helped children feel more comfortable making mistakes, creating a more encouraging environment for building their reading skills. While there were no substantial diffe...
A study found that social robots like Luka can become deeply embedded in families over time, taking on emotional and symbolic roles. Children often reinterpret their relationship with the robot as they grow older, repurposing it as a companion or keepsake.
A new study published in the Journal of Experimental Psychology found that interacting with robots through social games makes them seem more human-like. The researchers used a box-shaped robot called Cozmo and found that participants who played games with it considered it more human-like, whereas those who interacted mechanically did not.
Aerial robots are limited to manipulating rigid objects, but Lehigh University researcher David Saldaña aims to expand their capabilities with an adaptive controller and reinforcement learning. His research has potential applications in construction, disaster response, and industrial automation.
A new simulation method enables researchers to test social robots without human participants, making research faster and more scalable. The study introduces a dynamic scanpath prediction model that helps humanoid robots predict where people would look in a social setting, mimicking human-like eye movements.
A new robot designed to physically support the elderly and prevent falls as they move around their homes. The Elderly Bodily Assistance Robot (E-BAR) has a set of robotic handlebars that can be used for support, with airbags that inflate instantly to catch users if they fall.
Researchers developed an intelligent autonomous robot capable of automating hospital disinfection processes through dual disinfection system, increasing efficiency and precision. The robot's performance was validated through real-world testing, reducing the risk of infection in hospitals.
Researchers found that service robots with male characteristics can be more persuasive when interacting with women who have a low sense of power. Conversely, cute features in robot design can reduce the effect of portrayed gender on persuasiveness, making them effective for both male and female customers.
Computer scientists at the University of Bath reprogrammed a Roomba to perform four new tasks, showcasing the untapped potential of domestic robots. The researchers identified over 100 ways to tap into the latent potential of robotic devices, proposing functions such as playing with pets, watering plants, and delivering breakfast in bed.
Researchers found that realistic AI avatars are rated more positively than cartoon-style ones for perceived competence, integrity, and benevolence. However, individual factors such as prior AI knowledge and trust in science moderate perceptions of trustworthiness.
Researchers found that people demonstrate a significant level of obedience towards humanoid robots, but it is slightly lower than towards humans. The study also showed that work efficiency under robot supervision is lower, with participants completing tasks more slowly and less effectively.
Researchers at Yokohama National University have developed a tiny, low-weight robot that can act independently and with ultra-high precision in extreme environments. The Holonomic Beetle 3 (HB-3) integrates piezoelectric actuators with autonomous technology for precise manipulation tasks, addressing industries such as laboratory automa...
Researchers develop a novel adaptive nonlinear PID controller integrated with radial basis function neural network for enhanced ballbot functionality. The proposed NPID-RBFNN controller demonstrates superior stability and robustness, outperforming traditional PID and NPID controllers.
Researchers at Worcester Polytechnic Institute are developing a lightweight, flexible robotic arm that enables wheelchair users to safely grasp and carry objects out of reach. The project builds on origami-inspired designs and novel fabrication methods for modules made of lightweight plastics, 3D printed components, and sensors.
The workshop explored how to responsibly integrate AI into society, discussing key stakeholders, transparency, accountability, and human-AI collaboration. EU researchers emphasized the importance of addressing ethical considerations in AI design and governance.
A recent study from the University of Notre Dame found that robot use in nursing homes is associated with increased employment, improved productivity, and a higher quality of care. The research also suggests that robots may reduce physical strain on workers, allowing them to focus on tasks better suited for human beings.
The Cambridge Handbook of the Law, Policy, and Regulation for Human-Robot Interaction addresses emerging issues in AI and robots, including privacy, safety, and regulation. The book offers valuable insights into ethical dilemmas and proposes solutions to balance enforceability and flexibility.
A study published in Science Robotics found that diverse and inclusive teams in robotics research achieve higher motivation, commitment, and productivity. The team identified seven main benefits of workforce diversity and inclusive leadership, including increased innovation and reduced bias.
Researchers created a measurement scale to assess robot human likeness, revealing four key qualities: appearance, emotional capacity, social intelligence, and self-understanding. To seem lifelike, robots must exhibit these traits, with self-understanding being the most challenging aspect to simulate.
IIT's Omnia prosthetic won the 'Leg Prosthesis' category at Cybathlon 2024, showcasing a novel lower limb prosthetic prototype designed for individuals with transfemoral amputations. The system features a knee and ankle that exchange information to adjust parameters for optimal performance.
The Human AugmentatioN via Dexterity (HAND) center aims to develop robots capable of enhancing human labor through engineered systems of dexterous robotic hands, AI-powered fine motor skills, and human interface. The center's goal is to make robotic assistance accessible and applicable to a wide range of physical actions.
Researchers warn that bio-hybrid robots, which combine living tissue and synthetic components, present novel ethical dilemmas. The technology raises questions about sentience, moral value, and environmental impact, highlighting the need for proper governance and public awareness.
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 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.
Researchers from Ohio State University propose the integration of AI technology in customer service to enhance operational efficiency and customer satisfaction. The benefits include increased accessibility, consistency, and personalized experiences, while addressing evolving hospitality trends.
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 Uppsala University have developed an artificial tactile system that can detect pressure by touch in a similar way to the human nervous system. The technology has the potential to restore lost functionality to patients after a stroke, as well as enhance interactions between humans and robots.
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.
The USC team created a low-cost, customizable learning kit for students to build their own 'robot friend' using the Blossom robot. The three-part module provides hands-on experience and instruction on various AI aspects, including robotics, machine learning, and software engineering.
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.
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.
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%.
A novel robotic system developed by USC researchers can help clinicians accurately assess a patient's rehabilitation progress. The method generates an 'arm nonuse' metric using machine learning and a socially assistive robot to track how much a patient is using their weaker arm spontaneously.
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 at Queen Mary University of London and their colleagues have found that supernumerary robotic arms can be used as effectively as a partner, enabling tasks like opening doors while carrying packages. The study suggests these arms could aid people with various tasks, such as surgery or industrial work.
Scientists from Shibaura Institute of Technology developed a more precise approach to face direction detection, achieving remarkable performance through deep learning-based classification. The new method uses point cloud data and gyro sensors, reducing the need for large datasets and improving accuracy.
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 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.
Maynooth University is establishing a state-of-the-art robotics lab with a €150,000 donation from Intel Ireland. The lab will provide students with hands-on learning experiences using cutting-edge robotic technologies and equipment used by engineers from Intel.