Articles tagged with Human Robot Interaction
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.
Ritsumeikan University researchers have developed a soft robotic microfinger that enables direct interaction with insects through tactile sensing. The study shows great promise towards realizing human interactions with the microworld and has applications in augmented reality technology.
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 developed a wearable soft robot called Reliebo that reduces pain and fear in patients undergoing injections. The robot's effectiveness was proven in a study where participants who wore the robot experienced less pain and reduced stress levels than those without it.
Researchers at North Carolina State University developed a blueprint for incorporating ethical guidelines into AI decision-making programs. The new mathematical formula, based on the Agent, Deed, and Consequence (ADC) Model, considers intent, character, and consequences of actions to make more informed decisions.
Researchers identified 7 core categories of behaviors important for human-dog bonds, including attunement, communication, and physical affection. These behaviors may be incorporated into robotic systems to provide mental health benefits for humans.
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 ...
UC Riverside engineers develop low-cost robotic clothing to help children with cerebral palsy. The soft machine garments contain sealed regions that inflate to provide force for movement, enabling natural limb functioning.
Researchers at Kyoto University designed a shared-laughter AI system to build empathy into dialogue between robots and humans. The system was tested on the Japanese android Erica, performing better than baseline models in evaluating empathy, naturalness, and human-likeness.
A study published in Science Robotics journal reveals that humans are unable to distinguish between a humanoid robot's response time variability and that of a human when interacting with the robot. This finding suggests robots can exhibit human-like behavior, raising questions about the blurring line between humans and machines.
A new study takes inspiration from the 'waggle dance' of honeybees to devise a way for robots to communicate effectively in situations with unreliable network communications. Researchers designed a visual communication system using on-board cameras, allowing robots to interpret gestures and convey complex information.
A study published in Labour Economics found that US workers who work alongside industrial robots are more likely to suffer from adverse mental health effects, including substance abuse and increased suicide rates. In contrast, German workers saw no significant mental-health change when exposed to robotics.
A team of researchers has successfully connected a partially paralyzed man's brain to a pair of robotic arms, allowing him to feed himself using subtle motor signals. The 'shared control strategy' enables the user to customize robot behavior with limited human input, creating a 'best of both worlds' environment.
Researchers created a graffiti-painting robot system that uses motion capture technology to record human painting motions. The team's cable-driven robot spray paints artwork with precision and speed, enabling the creation of human-style graffiti.
Researchers at Carnegie Mellon University's Robotics Institute have developed an algorithmic planner that helps delegate tasks to humans and robots. The planner considers a list of tasks and decides how best to assign them, considering the time it takes for humans to complete tasks and teach robots new skills.
A team of researchers, led by L. Mahadevan, developed a mathematical model to understand the mechanics of combing and detangling. They found that using short strokes starting from the free end can effectively remove tangles, with an optimal minimum length for each stroke identified.
Researchers at the University of Tsukuba created a handheld social robot, OMOY, that can appear to convey emotions by shifting an internal weight while reading out text messages. The robot was tested with 94 people and found to reduce negative emotions such as anger, revenge, and avoidance motivation.
Researchers at Imperial College London developed a bendy robotic arm that can twist and turn in all directions, allowing for customizable shapes. The team created an augmented reality system to enhance user-friendliness, enabling users to easily configure the robot using motion tracking cameras and smartglasses.
Researchers at MIT and Harvard University applied cognitive science theories to human-robot interaction, finding that humans need to see variation in robot behavior to build accurate mental models. Theories suggest that strategic variation can reveal concepts that might be difficult for a person to discern otherwise.
A new HMI system, Robotic VR, allows users to teleoperate robots with precision and feel, enabling complicated tasks such as Covid-19 swab tests and patient care. The system provides immersive feedback via Bluetooth, Wi-Fi, and the internet.
Researchers discovered humans unconsciously mirror a humanoid robot's body language, mirroring human behavior when interacting with peers. The study highlights the intriguing similarity between human-Robot interactions and interpersonal relationships.
A recent study by MIT researchers found that family members trust devices with human-like social behaviors, such as Amazon's Alexa or Jibo's social robot. The study revealed significant effects of branding on perceptions, showing users viewed Google as more trustworthy than Amazon despite similar designs and functionality.
A Japanese study found that a robot's physical texture, such as softness or elasticity, affects perceptions of its personality. The researchers used six humanoid robots with varying arm textures and asked participants to touch and evaluate them.
Researchers developed a bioinspired system using ultrasound measurements to create customized assistance profiles for users. The exosuit significantly reduced metabolic energy of walking across various speeds and inclines.
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.
A new study from the University of Toronto suggests that social robots could be more persuasive if they project less authority. The research found that people are more likely to accept advice or instructions from a robot when it is presented as a peer helper rather than an authoritative figure.
Cong Wang aims to develop a two-fingered robot that can perform everyday tasks with precision manipulation, using artificial intelligence and crowdsourcing. The robot will be taught by human volunteers through the Amazon Mechanical Turk system, with the goal of creating a physically intelligent being.
Children use a specific word to remind robots to speak quickly, but not with parents or strangers, showing sophisticated social awareness. In everyday life, most children stop using the word after a short period.
A study published in Science Robotics found that mutual gaze with a humanoid robot affects human neural activity and delays decision-making processes. Participants were slower to respond when the robot established mutual gaze during decision making, relative to averted gaze.
Researchers developed a digital twin environment that mirrors physical welding setups to train new users and protect physical systems. The system tracks welders' behavior patterns, enabling efficient novice training and safe practice without risk of damage.
A novel soft tactile sensor with skin-comparable characteristics has been developed for robots, allowing them to grasp fragile objects and thread needles. The sensor decouples external forces into normal and shear components, providing accurate measurements.
Researchers at the University of Toronto discovered a protein called HRI that can sense and respond to misfolded proteins in all mammalian cells. This finding opens promising research avenues for neurodegenerative disorders such as Parkinson's, Alzheimer's, and ALS.
Researchers at Sant'Anna School of Advanced Studies and Australian Centre for Robotic Vision unveiled guiding principles for grasp type choice during object handover, facilitating human-robot cooperation. The study demonstrates that humans intuitively leave handles unobstructed to facilitate subsequent tasks.
Scientists have discovered a protein called HRI that regulates hemoglobin production in red blood cells, potentially leading to a breakthrough treatment for sickle cell disease. Blocking the activity of this enzyme reduces characteristic sickling and improves red blood cell function.
A model predictive control framework incorporates adaptable interaction models for personalized human-robot collaboration, resulting in precise shared movements. Personalization allows robots to learn from users and adjust their interference to optimize performance.
Researchers at IIT-Istituto Italiano di Tecnologia focus on iCub's evolution from its origin to date, showcasing hardware and software co-evolution. The robot's current version enables crawling, sitting, balancing, and recognizing objects, with a sensitive full-body electronic skin system.
A new study published in Restorative Neurology and Neuroscience found that human-robot interactions can be tailored to increase patient use. The researchers discovered that people prefer smooth, familiar movements when interacting with robots, which resemble human movements.
Jessica Hodgins, a pioneer in character animation and robotics, has been recognized with the prestigious Steven Anson Coons Award for her outstanding contributions to computer graphics. Her work on physical simulation and control has advanced the development of realistic computer animations and human-robot interaction.
A recent study by researchers at the University of Koblenz-Landau and the University of Wurzburg found that people who watched live interactions with a robot were more likely to consider the robot to have more human-like qualities. Observing a live interaction or encountering the robot in virtual reality led to more perceived realness,...
Researchers found that test subjects followed a faulty robot's instructions during an emergency simulation, suggesting people trust robots too much. The study aims to understand human-robot trust and develop safer robots for emergency situations.
Research at HFES 2015 Annual Meeting highlights the importance of social cues in evaluating trust in human-robot interaction. Participants' attitudes toward robots were influenced by politeness, with rudeness overshadowing demographic differences.
Researchers developed a robot-based writing tool called CoWriter that helps children improve their handwriting and writing skills. The program uses learning by teaching, a recognized principle in pedagogy, and has been tested with over 70 students aged 6-8 years old.
A team of scientists from Tufts University, Brown University, and Rensselaer Polytechnic Institute is working on a project to create robots capable of making moral decisions. The researchers aim to develop formal frameworks for modeling human-level moral reasoning that can be verified and implemented in computational architectures.
Researchers at Georgia Tech identified key question types that facilitate human-robot learning, including feature queries, which were preferred by both human volunteers and robot learners. The study aims to improve the teaching of robots by understanding human learning mechanisms and developing more effective active learning strategies.
The University of Sheffield has published an interactive version of The Acts and Monuments, a foundational source for the history of the English Reformation and late Medieval Church. The online edition provides scholars with a unique environment to access and understand the text, including searches, images, translations, and commentaries.
Researchers found people generally react positively to robotic touch, but perception of robot's intent makes a difference. The team plans to investigate ways to make robot touch more acceptable for future healthcare tasks.
Brian Scassellati's grant will fund development of prosody-recognition software, allowing untrained users to provide feedback to robots. This technology enables robots to recognize and respond to the rhythms, patterns, and intonation of speech.
Researchers have identified multiple genes that confer broad-spectrum resistance to Turnip Mosaic Virus in brassicas like broccoli and cabbage. This discovery has the potential to develop resilient crop varieties that can withstand virus mutations.
Scientists at MIT have identified a critical blood protein called HRI that plays a pivotal role in the body's iron recycling process. This discovery holds promise for developing new treatments for conditions like beta-thalassemia and erythropoietic protoporphyria.