Articles tagged with Robotic Designs
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 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.
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.
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 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.
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.
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.
A recent study published in Science Robotics found that robots struggle to outperform biological organisms in foot races. The researchers analyzed data from dozens of studies and concluded that the failure of robots to outrun animals is not due to shortfalls in individual components, but rather inefficiencies in system design.
An interdisciplinary team of scientists and engineers compared various aspects of running robots with their equivalents in animals, finding that biological components performed poorly compared to fabricated parts. However, animals excel in integrating and controlling these components.
A new international research project, RoboSapiens, aims to make industrial robots more adaptable and reliable by utilizing artificial intelligence. The project, led by Aarhus University, will focus on four use-cases: autonomous ships, human-robot interactions, warehouse robots, and laptop refurbishment.
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 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 have developed twisted ringbots that can roll forward, spin like a record, and follow an orbital path around a central point. These devices can navigate and map unknown environments without human or computer control.
Researchers created multicellular bots from human tracheal cells that move across surfaces and promote healing of damaged neurons in a lab dish. The discovery could lead to new therapeutic tools for regeneration, healing, and disease treatment using patient-derived biobots.
Researchers at ETH Zurich developed an autonomous excavator called HEAP to construct a 6-meter-high and 65-meter-long dry-stone wall. The excavator uses sensors, machine vision, and algorithms to place stones in the desired location, achieving a high level of precision and speed.
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.
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.
Researchers at North Carolina State University have created a soft robot that can navigate simple mazes without human or computer guidance. The new robot has an asymmetrical design, allowing it to turn and move in arcs, enabling it to navigate complex and dynamic environments.
Researchers have developed a tiny, squishable robot called CLARI that can change its shape to pass through narrow gaps. The robot's modular design allows it to be customized and expanded with additional legs, enabling potential applications in search and rescue operations after major disasters.
Hang aims to develop general-purpose robots that can handle complex physical interactions without requiring perfect input from sensors or extensive instructions. His project seeks to improve robotic manipulation tasks by reducing assumptions about how the robot acts in real-world conditions.
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.
Researchers from Carnegie Mellon University have created a fabric and sensing system, RobotSweater, that allows machines to better interact with humans. The knitted textile 'skin' can sense contact and pressure, enabling robots to move in response to human gestures.
Researchers at Arizona State University have designed a drone with an inflatable frame that can absorb impact forces and provide collision resilience. The drone's stiffness is tunable, allowing it to physically interact with its surroundings and accomplish tasks like perching, which involves controlled collisions.
A UCLA-led team developed foldable robots using conductive materials, overcoming chip weight and rigidity issues. The OrigaMechs can sense, analyze and act with precision in extreme environments, making them suitable for disaster response and space exploration.
Assistant Professor Reza Ahmadzadeh at UMass Lowell has been awarded a $500,000 NSF CAREER grant to develop new algorithms for robots to learn complex tasks. The project aims to improve robot performance in everyday tasks, enabling them to assist older adults with daily chores and automate difficult duties in the workplace.
The caterpillar-bot uses a novel pattern of silver nanowires to control its movement, with the ability to steer in both directions and navigate through tight spaces. The robot's movement is driven by heating and cooling cycles that allow it to 'relax' before contracting again.
Researchers at MIT have created a way for tiny robots to recover from severe damage to their wings, enabling them to sustain flight performance. The development uses laser repair methods and optimized artificial muscles that can isolate defects and overcome minor damage, allowing the robot to continue flying effectively.
Researchers at Carnegie Mellon University have developed a latch control system that enables grasshopping robots to perform efficiently on soft substrates. The team discovered that the latch can not only regulate energy output but also mediate energy transfer between the robot and its environment, leading to improved jump performance.
The NERVE Center has developed test methods and metrics for various robots, identifying limitations to improve systems. The center's success grew its research capabilities through partnerships with NIST and the U.S. Army.
Researchers have developed insect-sized jumping robots capable of navigating tight spaces, with a new study demonstrating two configurations that can successfully jump without manual intervention. The robots use a dynamic buckling cascade process to store and release elastic energy, allowing them to propel themselves upward.
Scientists successfully used lab-produced tissue samples to remotely control muscle-driven miniature robots with this innovative technology. The device allows researchers a new level of interaction and exploration in the field of biological robots.
A team of simple robots, nicknamed RAnts, use photormones to escape a corral and perform complex tasks. The research reveals how collective cooperation can arise from simple rules, applicable to solving problems like construction, search and rescue, and defense.
Researchers at NC State University have created an energy-efficient soft robot that can swim more than four times faster than previous models. The 'butterfly bots' use bistable wings for propulsion and achieve speeds of up to 3.74 body lengths per second.
Researchers have developed a new miniature robot called Joey that can explore real pipe networks completely on its own, weighing just 70g. The robots are small enough to fit in the palm of your hand and are equipped with energy-efficient sensors to navigate through narrow sections and obstacles.
Researchers at NC State University have developed a ring-shaped soft robot capable of crawling across surfaces when exposed to elevated temperatures or infrared light. The 'ringbots' are made of liquid crystal elastomers in the shape of looped ribbon, resembling a bracelet, and can pull a small payload across various environments.
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 discovered that trap-jaw ants use a combination of head tendon and exoskeleton energy storage to drive perfectly circular mandible rotations. This mechanism allows the ants to repeatedly strike victims without damaging themselves.
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.
Researchers at Singapore University of Technology and Design developed a new machine learning approach to model underwater robot dynamics, allowing for efficient swimming in complex environments. The approach, published in IEEE-RAL, uses deep neural networks to predict required flapping motions for a set of given propulsive force targets.
Developed by Prof. Qing Shi's team, SQuRo can mimic the motion of actual rats and perform various motions like crouching-to-standing, walking, crawling, and turning. It successfully passed through an irregular narrow passage and demonstrated its potential application to inspection tasks inside narrow spaces.
Researchers created BirdBot, a robotic leg inspired by the ostrich's anatomy, which achieves energy efficiency through a mechanical coupling of muscles and tendons. The robot leg requires fewer motors than other machines, making it suitable for large size applications.
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 created tiny robot bugs that can navigate hard-to-reach spots and inhospitable environments. The robots use polymeric artificial muscle to replicate the jumping movements of small creatures like ants and fleas, enabling them to move across surfaces with ease.
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 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 at MIT have developed a new fabrication technique that enables the creation of soft actuators with 75% lower voltage requirements and 80% more payload capacity than current versions. This breakthrough could lead to the development of flying microrobots with improved performance and payload capabilities.
Developed by researchers from Harbin Institute of Technology, a new robotic arm can manipulate in environments difficult for humans and adapt to changing conditions. The arm weighs only 9.23 kilograms and can exert constant force control, enabling it to maintain contact with curved surfaces in space.
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 created a paper-like material that folds itself into new shapes in response to environmental humidity, with potential applications in self-folding envelopes and boxes. The material's ability to morph on demand could lead to the development of autonomous origami robots and other complex shapes.
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.
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.
Scientists develop robotic model of mantis shrimp strike, revealing geometric latching process behind ultra-fast movements. The device accelerates to 26 meters per second, equivalent to a car reaching 58 mph in four milliseconds.