Articles tagged with Humanoid Robots
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 found that humanoid robots like Pepper can make good playmates in cooperative modes with natural pace and order of play. However, competitive gameplay led to frustration due to robot's stiffness and overzealousness.
Researchers have developed a complementary perception strategy combining visual localization with tactile mapping for robots to locate and read object surface features. The system uses a single RGB-Depth camera and soft pressure sensor array to identify object position, size, and geometry through vision and tactile scanning, respectively.
Researchers at MIT have developed an ultrasound wristband that precisely tracks hand movements, allowing users to control a robotic hand or manipulate virtual objects. The device produces high-quality images of the wrist's muscles and tendons, which are then translated into specific hand positions, enabling precise movement control.
Researchers have advanced humanoid robot control, motion planning, and perception using Valkyrie, a 10-year mission robot developed by NASA. The university will continue research with Talos, a 1.75-metre-tall robot, to study human-robot cooperation and adapt to changing environments.
The new dynamic shielding layer allows the sensor to focus on specific areas when needed, achieving a 104.56% increase in detection depth. The sensor can also detect approaching objects from over 90mm away, providing a vital split-second for robots to avoid collisions.
The startup aims to bring human integration and industrial usability to its robots, which will operate safely and efficiently in industrial environments. The company's mission is to create a future where humans and robots collaborate daily.
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.
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.
New humanoid surgical robots offer a solution to the growing healthcare labor shortage, allowing for more efficient surgeries and reduced burnout among doctors. By taking on routine tasks, these robots can free up surgeons to focus on more complex procedures.
The AI for Good Global Summit 2025 will showcase AI innovations delivering better healthcare and education, reducing disaster risks, ensuring water and food security, and bolstering economic resilience. The event, organized by the International Telecommunication Union (ITU), features talks from AI leaders and 100+ demos.
Researchers at IIT have successfully demonstrated the first flight of a humanoid robot, iRonCub3, which can lift off the floor and maintain stability. The robot's AI-powered control system enables it to handle high-speed turbulent airflows, extreme temperatures, and complex dynamics.
Antonio Bicchi has been selected for the 2025 Pioneer in Robotics and Automation Award for his groundbreaking contributions to robotics and prosthetics. He is recognized for developing innovative robotic limbs that match human hand capabilities, as well as natural prosthetic limbs.
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.
Researchers at MIT created a table tennis bot that can return shots with high-speed precision, achieving a hit rate of 88% in tests. The technology could be adapted to improve the speed and responsiveness of humanoid robots for search-and-rescue operations.
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.
Insilico Medicine has deployed the first bipedal humanoid AI scientist, Supervisor, to aid in data acquisition and generation for training embodied AI systems. The humanoid will assist with lab tours, telepresence, tracking, and supervision, bridging the gap between human-free fully-autonomous robotics facilities.
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.
A new robotic leg powered by artificial muscles can walk, jump, and detect obstacles without complex sensors. Its ability to lift its own weight explosively enables high jumps and fast movements.
Researchers will create versatile and easy-to-integrate robots capable of intelligent grasping, fine motor skills, and hand-eye coordination. The goal is to empower diverse workforces with robotic solutions, improving worker productivity and job opportunities.
A humanoid robot has been trained to learn and perform various expressive movements, including simple dance routines and gestures. The enhanced expressiveness and agility of the robot pave the way for improving human-robot interactions in settings such as factory assembly lines, hospitals, and homes.
Researchers found that humans feel jointly a sense of agency with humanoid robots when they perceive them as intentional and social agents. This teamwork is more likely to occur when the robot displays human-like behavior and emotions.
The team, led by Professor Shoji Takeuchi, created a layer of skin that can bind to complex forms of humanoid robots, granting them increased mobility and self-healing abilities. The research has potential applications in the cosmetics industry, medical research, and robotics.
Researchers from Shinshu University have created a novel composite material with exceptional capabilities for motion and physiological sensing. The new sensor design showed significant performance and stability improvements, enabling practical use in wearable applications.
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 Tokyo have created a two-legged biohybrid robot capable of walking and pivoting underwater. The robot uses lab-grown skeletal muscle tissue to move its legs, achieving efficient and silent movements. Future iterations aim to develop thicker muscles with nutrient supplies to enable robots to walk on land.
Researchers at IIT develop fully immersive iCub3 avatar system for real-world testing, enabling remote control of robots up to 300km away. The system addresses challenges posed by real-world variability and has evolved into a new robot, ergoCub, designed for work environments.
Researchers at Istituto Italiano di Tecnologia receive 5 million euros in funding to bridge gap between basic research and real-world applications. The projects aim to address key issues such as tumors, neurodevelopmental disabilities, and new quantum technologies.
A new soft sensor developed by UBC and Honda researchers enables touch sensitivity and dexterity in robots, allowing them to pick up fragile objects like an egg or a glass of water. The sensor uses weak electric fields to sense objects, even at a distance, making it suitable for adoption in robots that interact with people.
A recent study published by the American Psychological Association found that exposure to robot preachers can undermine religious commitment and reduce donations. Participants rated robot preachers as less credible than human priests, with smaller donations also reported.
A new report suggests that AI-powered robot companions could alleviate the loneliness epidemic and its associated health risks. Companion robots have already shown promise in reducing stress and promoting physical and mental well-being in socially isolated older adults.
Researchers at Oregon State University are part of a $5 million NSF effort to accelerate robotics research by providing standardized humanoid robots. The project will build on an earlier success that designed and tested 10 prototype Quori robots, incorporating lessons learned to improve the robot's design and distribution.
Researchers created 3D-printed talking heads to simulate conversations and assess acoustic properties. The project aims to improve human hearing algorithms and develop more realistic listening experiences.
A new study published in the Journal of Cognition and Development found that preschoolers aged three and five prefer learning from a competent robot over an incompetent human. The research, conducted by Concordia University researchers, used humanoid robots to teach children about unfamiliar objects. Five-year-olds were more likely to ...
A study by researchers from the University of Cambridge found that robots can be a useful tool to promote mental wellbeing in the workplace. The experiment used two different robot wellbeing coaches, with participants showing a better connection and positive perception with a toy-like robot compared to a humanoid-like robot.
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.
The iCPH platform combines physical and cyber elements to capture human motions, using musculoskeletal analysis and machine learning. It generates contact motion networks for humanoid robots and simulates human behaviors, enabling smooth interactions with humans.
This study evaluates the uncanny valley theory through human interactions with four human-like entities: a voice assistant, child-sized robot, virtual human, and life-sized humanoid robot. The results show that anthropomorphic robots are most liked, while the 'uncanny valley' effect is not observed.
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.
Researchers have developed a method to create living human skin on robots, providing a realistic texture and self-healing properties. The skin is made up of collagen and human dermal fibroblasts, which conform to the robot's surface and can even repair wounds with the help of a collagen bandage.
The collaboration between public and private organizations has led to innovative applications in tourism and culture sectors. Visitors can interact with a humanoid robot and solve puzzles using Meta Quest visors connected to the 5G network, exploring artworks and moving virtual objects.
Researchers from Chemnitz University of Technology and Leibniz IFW Dresden create a new approach for miniaturizing soft sensor units with integrated artificial hairs. They successfully integrate the 3D magnetic field sensors with magnetically rooted fine hairs into an artificial e-skin, enabling precise spatial arrangement and mass pro...
Researchers from RIKEN created Nikola, an android child that can convey six basic emotions through facial expressions. The study tested the quality of these expressions and found that humans can recognize them with varying accuracy.
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.
Researchers at University of Michigan develop faster path planning approach for rubble-roving robots, enabling them to find stable paths in treacherous terrain more efficiently. The new algorithm outperformed traditional methods in success and total time to plan, with an 84% success rate in virtual experiments.
A study published in PLOS ONE found that participants who were touched by a humanoid robot during conversation reported a better emotional state. Those who received non-functional touch from the robot were more likely to comply with requests and exhibit positive behavioral responses, suggesting potential for robots to boost motivation.
A study by Tampere University found that making eye contact with a humanoid robot evokes strong physiological reactions, including arousal and positive emotional responses. The results suggest that interaction between humans and social robots may be surprisingly seamless, as people treat robots instinctively as if they could see them.
The ONR robotics program has deployed a decontamination robot using short-wave ultraviolet (UVC) light to combat Covid-19. The robot's mechanical arm can reposition UVC lamps over surfaces, reducing human exposure and enabling autonomous disinfection.
Scientists have found a correlation between brain activity and attitudes towards humanoid robots, with distinct neural patterns predicting people's bias in attributing intentionality. This study contributes to understanding engagement with robots and can inform the future acceptance of robots in healthcare applications.
A team of Australian researchers has designed a reliable strategy for testing physical abilities of humanoid robots using machine learning methods and algorithms. The findings have promising implications in the broad use of humanoid robots in fields such as healthcare, education, disaster response, and entertainment.
A new interface system using augmented reality technology enables individuals with severe motor impairments to control a humanoid robot, allowing them to perform routine personal care tasks and interact with their environment. The system has shown promising results in improving the quality of life for users.
UMass Lowell researchers aim to develop methods for robots to assess their performance in real-time, enabling better task completion and increased efficiency. The SUCCESS project will utilize humanoid robots like Baxter to evaluate their abilities and limitations, leading to improved human-robot collaboration and trust.
The new version of WALK-MAN humanoid robot has a lighter upper body and new hands, reducing construction cost and improving performance. It can locate fires, activate extinguishers, and transmit images back to emergency teams for evaluation and guidance.
Researchers at Toyohashi University of Technology found that humans can empathize with humanoid robots in perceived pain. However, the beginning of the top-down process of empathy is weaker for robots than for humans. This study contributes to the development of human-friendly robots whom we feel sympathy for and comfortable with.
Researchers from the University of Bonn have developed a new humanoid robot called NimbRo-OP, which is designed to facilitate research on humanoids. The robot's open-source design plan and source code aim to enable other researchers to use it as a basis for their work.
University of Washington researchers have successfully controlled a humanoid robot using signals from a human brain. The robot can move to specific locations and pick up objects based on the individual's brain waves, achieving 94% accuracy.
Researchers created a computer simulation to help robots learn by imitation, using virtual android Adonis to teach the macarena dance. The system demonstrates that imitation can make robots more flexible and effective in learning any task.