Articles tagged with Robotics
A research team at Tsinghua University Press has developed a sequential control policy framework that offers high success in multiple peg-in-hole assembly tasks. The framework improves robots' performance by adapting to different working scenarios, including object geometry and pose, with higher training efficiency and faster convergence.
Researchers at Case Western Reserve University have developed high-performance, low-cost zinc-sulfur batteries with enhanced energy capacity, improved conductivity and stability. These advancements address long-standing safety concerns and enable smaller, longer-lasting designs.
A study found that user participation and perspective are crucial in developing home-care technology. Common factors across countries include familiarity with robots and a positive impression of them. Japan values convenience, Ireland prioritizes notifying family members, and Finland emphasizes design. These findings highlight the impo...
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.
At Oak Ridge National Laboratory, 104 researchers have reached this milestone. The honorees are working on strategies including advanced manufacturing and carbon management.
Researchers at Harvard University have developed a tissue-anchoring mechanism for medical devices, inspired by the circular hook-like attachment organ found in intestinal tapeworms. The device can be deployed in under 1 millisecond and anchors into soft tissue with minimal damage.
Researchers at the University of Illinois have created a DNA-made nanorobot called NanoGripper that can pick up COVID-19 viruses for rapid detection and block viral particles from entering cells. The device also has potential applications in cancer treatment and preventive medicine.
The surgical team led by Stephanie H. Chang performed the groundbreaking procedure using da Vinci Xi robotic system at NYU Langone Transplant Institute. The successful transplant marks a significant milestone in lung transplantation surgery, offering hope to patients with chronic obstructive pulmonary disease (COPD) like Cheryl Mehrkar.
Erdogan Kaya and his team aim to create an AI curriculum for grades 4-5, focusing on emergent multilingual learners and preparing students for AI-intensive careers. The project explores the impact of the integrated curriculum on students' understanding of AI concepts and teachers' AI teaching efficacy beliefs.
A new study suggests that smart robots can predict waves in real-time, enabling them to work stably in turbulent seas. This technology could reduce the cost of generating renewable energy by up to 50%, making it more competitive with fossil fuels.
NeuroMechFly v2 simulates how a fruit fly navigates through its environment while reacting to sights, smells, and obstacles. The model can track moving objects visually or navigate towards an odor source, while avoiding obstacles in its path, enabling researchers to study brain-body coordination and animal intelligence.
A new plastic device has been developed to secure the surgical field during robot-assisted heart surgery, allowing surgeons to operate with greater independence. The device, made from a type of plastic used in medical implants and aerospace industry, expands to a certain size and retains its shape.
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.
Scientists at Princeton University develop a system of two robots connected by flexible tether, enabling them to solve complex problems like maze navigation and object gathering. The innovative approach harnesses physical characteristics rather than digital calculation to achieve remarkable abilities.
Researchers developed a novel technique using liquid metal microdroplets to create stair-like structures forming vias that connect circuit layers without drilled holes. This approach enables rapid and parallel fabrication of soft electronic components, overcoming challenges in conventional rigid electronics.
Researchers developed grain-sized soft robots that can transport up to four different drugs, release them in reprogrammable orders and doses, and navigate complex environments inside the human body. The robots' precision functions have the potential to significantly improve therapeutic outcomes while minimizing side effects.
Penn Engineering researchers found that certain features of AI-governed robots have security vulnerabilities, putting safety at risk. The 'jailbreak' rate of OpenAI's ChatGPT was 100% in just days, bypassing safety guardrails and allowing manipulation or hacking.
Researchers at the University of Pennsylvania have developed a new consensus complementarity control (C3) algorithm that allows robots to react to complex physical contact in real-time. The algorithm enables robots to control the motion of sliding objects, a challenging task previously thought to be impossible for autonomous robots.
Researchers have developed an octopus-inspired adhesive that can quickly grab and controllably release challenging underwater objects. The adhesive achieves high attachment strength on various surfaces, including rough and curved ones, within a fraction of a second.
Researchers from King's College London have created a new kind of compact circuit that enables robots to receive complex instructions without electricity. This breakthrough could enable the creation of robots with more complex AI-powered software and improve their social awareness and dexterity.
A new method called Clio allows robots to make task-relevant decisions by identifying the parts of a scene that matter. In real experiments, Clio successfully mapped scenes at different levels of granularity based on natural-language prompts and enabled robots to grasp objects of interest.
Researchers have identified coupling design methods, composite manufacturing techniques, and future prospects for micro/nanorobots. The review explores three core functions: mobility, controllability, and load capacity, offering insights into designing high-performance MNRs.
A new knee exoskeleton has been developed to support the quadriceps muscles during lifting tasks, helping workers maintain better posture even when fatigued. The device, which uses a complex algorithm to predict assistance needs, enabled participants to lift faster and with improved posture.
Researchers proposed a comprehensive handover framework for mobile robots that seamlessly manages the entire process, from object location to grasping and delivery. The system uses advanced algorithms and visual sensors to recognize human hand postures and grasp objects safely.
Researchers developed an integrated approach to design and fabricate pneumatic soft actuators in one step using fused filament fabrication and mold printing. The new process was validated with the creation of three bio-inspired soft robots featuring bending and linear motion capabilities.
Research collaborations between academics, clinicians, and individuals with aphasia aim to bridge the digital divide and develop accessible technology. The special issue showcases innovative approaches to aphasia research, assessment, intervention, and participation.
Researchers at Beijing Institute of Technology developed a universal system for remote signal output control using infrared signals, enhancing the accuracy of cyborg insect locomotion control. The proposed system uses high-precision digital-to-analog converters and biphasic electrical stimulation signals to minimize muscle tissue damage.
A team at ETH Zurich successfully conducted the first remote-controlled magnetic endoscopy procedure across a 9,300km distance. The procedure allowed for precise navigation and manipulation of a probe in a live pig's stomach via a joystick controlled by an operator in Zurich.
Researchers develop FS-Seq2Seq strategy to generate synergic and user-adaptive trajectories, outperforming other approaches in performance and accuracy. The study highlights the importance of systematic feature selection before synergy modeling.
This new frontier in robotics integrates neuroscience insights to provide robots with unprecedented accuracy and adaptability in complex environments. Brain-inspired navigation systems utilize a multi-layered network model that creates a 'cognitive map' of the surroundings.
Researchers used a dog-like robot integrated with AI to automate the identification and control of Red Imported Fire Ants, detecting three times more nests with greater precision. The system's effectiveness was tested in field trials, but challenges remain in scaling up production costs.
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 new lower limb rehabilitation robot dynamically adjusts its gait to match a patient's intent and capabilities, improving the training experience and recovery outcomes. The robot's adaptive gait training capability offers personalized treatment remotely, democratizing access to high-quality rehabilitation services.
Researchers at Singapore University of Technology and Design designed a vacuum-actuated hybrid soft gripper to handle delicate objects of varying sizes and shapes. The gripper features soft composite fingers and a palm, enabling wide grasping potential and adaptability to specific tasks.
The new battery can capture oxygen from air and use it to oxidize zinc, creating a current of up to 1 volt. It powers an actuator, memristor, clock circuit, and sensors, making it ideal for robotics and medical applications.
Researchers develop film-balloon (FiBa) soft robots with novel fabrication approach, enabling lightweight, untethered operation and advanced biomimetic locomotion capabilities. The breakthrough enhances the operational capabilities of soft robots for diverse applications.
Researchers have developed an implantable device that can independently detect opioid overdose and automatically administer naloxone, with promising results in animal trials. The device, called iSOS, uses multiple sensors to continuously monitor vital signs and rapidly release naloxone when needed.
Researchers developed a learning-based approach called LVWS to schedule robots and enable voluntary waiting, resulting in faster task completion. This method outperformed other approaches by up to 23% suboptimality, demonstrating its potential to improve manufacturing, agriculture, and warehouse automation.
Researchers at UCLA developed a new class of tunable dynamic material that mimics the inner workings of push puppets, enabling precise control of structural shape and flexibility. The material has potential applications in soft robotics, reconfigurable architectures, and space engineering.
New research finds that AI explanations can fuel a perception of fairness without being grounded in accuracy or equity. Humans were more likely to override AI recommendations when explanations highlighted gender rather than task-relevance, but this did not improve decision-making accuracy.
Researchers have developed AI systems that use photos or videos to create simulations for training robots in real settings. The RialTo system generates highly accurate simulations of specific environments, while the URDFormer system creates generic simulations quickly and cheaply. These advancements aim to lower costs and increase acce...
A collaboration of scientists, ethicists, and researchers aims to create a consensus definition for diverse intelligent systems, including AI, LLMs, and biological intelligences. The proposed approach will provide a common language for recognizing, predicting, manipulating, and building cognitive systems.
Researchers at Binghamton University have developed self-powered aquatic robots that can skim across water and detect environmental data. The devices use ocean bacteria to generate power, with an average output of 1 milliwatt, enough for mechanical movement and sensor tracking.
Researchers at UVA School of Engineering and Applied Science developed artificial compound eyes that mimic praying mantis vision, offering improved depth perception and reduced power consumption by over 400 times compared to traditional systems.
Scientists embedded gold nanorods in hydrogels that can contract when exposed to light and expand again upon removal. This expansion and contraction mechanism allows for remotely controlled actuators with endless design possibilities.
Researchers created RoboFabric, a wearable fabric that can stiffen on demand for medical applications and soft robotics. The technology reduces muscle activity by up to 40% when assisting joints while lifting loads.
UCF's STRONG-AI initiative aims to uplift bright, low-income undergraduate students in pursuing well-rounded AI education through faculty and peer mentorship and scholarship. The program has received over 150 applications and will select 10-15 students annually based on financial aid eligibility and academic success.
The ZEN-MRI project, funded by the German Ministry of Education and Research, aims to achieve a congenial co-existence between human beings and robots in public areas. Researchers will investigate how to design robots that are perceived as unthreatening and sympathetic.
Researchers developed an AI model that can estimate lung function from chest radiographs with high accuracy, potentially expanding options for pulmonary function assessment in patients who have difficulty performing spirometry. The study found a remarkably high agreement rate between the AI model's estimates and actual spirometric data.
Researchers are working on improving the quality of high frequency wireless networks. Dr. Murat Yuksel is hoping to realize the dream of unimpeded communication at distances near and far. He is developing a smart wireless network system using machine learning, which can fine-tune the networks' efficacy.
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.
Researchers at North Carolina State University have developed a lightweight fluidic engine that can power muscle-mimicking soft robots for use in assistive devices. The new engine generates significant force and is untethered to an external power source, making it particularly attractive for improving people's ability to move their upp...
Researchers developed artificial maple seeds that can be controlled using light to monitor environmental conditions, such as pH levels and heavy metal concentrations. The technology has potential applications in search-and-rescue, endangered species studies, and infrastructure monitoring.
Researchers developed an AI model that accurately predicts metal yield strength by combining physical theory with machine learning. The model outperforms traditional methods, which often rely on extensive experimentation.
Researchers at the Gwangju Institute of Science and Technology (GIST) have developed an innovative robotic rehabilitation system called SPINDLE to enhance the strength and dexterity of individuals with tremors. The study revealed significant benefits, including improved motor control, coordination, and neuroplasticity.
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.
A new study on learning has provided insights into the balance between habitual and goal-directed behaviors, with implications for AI development. The research suggests that a balance between these two types of behavior is necessary for efficient and adaptable decision-making in AI systems.
Researchers developed an AI-powered method to train robotic exoskeletons, enabling users to save energy while walking, running, and climbing stairs. The new approach allows for rapid development of exoskeleton controllers without lengthy human-involved experiments, offering promise for aiding individuals with mobility challenges.
A dog-like quadruped robot equipped with a mechanized arm is developed to detect hazardous gases and volatile organic compounds in hard-to-reach areas. The system uses air samples collected by the robot's arm and analyzed on-site, allowing for safer conditions for scientists and technicians.
A robotic device mimics natural esophageal and intestinal movement to aid digestion, helping patients with blockages caused by tumors or stents. The device has the potential to improve quality of life for the aging population.