Articles tagged with Robotic Designs
The Center for Scalable and Intelligent Automation in Poultry Processing will hold its first field day on April 9 to share research on developing new robotic technologies. Researchers will demonstrate tools for deboning, detecting foreign materials and pathogens, as well as using virtual reality to operate equipment remotely.
Researchers developed magnetically controlled microrobots made from diatoms to target glioblastoma lesions with photodynamic therapy. The microrobots achieved a significant cytotoxic effect on primary glioblastoma cells and demonstrated good biocompatibility.
Researchers at Oxford University developed an ultra-low-cost technique for manufacturing soft robots, using common lab equipment. The new method enables rapid and affordable production of soft robotic actuators, with a material cost of less than $0.10 per unit, and demonstrated strong mechanical performance and durability.
Researchers at Northwestern University have developed AI-designed robots called 'legged metamachines' that can combine and recombine in the wild, recover from injury and transform into new shapes. The robots can adapt to the environment, survive catastrophic damage and even recover from being chopped in half or cut into pieces.
Researchers at King's College London develop SimTac platform to simulate biologically inspired robotics, creating artificial sensors with a human-like sense of touch. This approach reduces the design and training time of tactile robots from 18 months to just two weeks.
Researchers created a robotic wing that senses and adapts to water flow, achieving double the stability of a barn owl's glide. The wing consumes five times less energy than traditional AUVs, paving the way for more agile and efficient underwater robots.
Researchers demonstrated a breakthrough in microrobotics: swarms of magnetic microrobots can manipulate objects without physical contact by harnessing fluid-generated torque. The microrobots act as motors to move millimeter-sized passive objects, opening new pathways for precision manufacturing and biomedical applications.
Researchers at Harvard's John A. Paulson School of Engineering and Applied Sciences have developed a new fabrication method for printing robotic devices with long filaments featuring precisely placed hollow channels. This allows the device to bend and deform in predetermined ways, enabling the creation of soft robots with predictable s...
A hierarchical 3D LiDAR localization method improves robot positioning in large outdoor spaces even after seasonal changes. The method integrates deep learning techniques to extract discriminative local features from 3D point clouds, making it robust to environmental variability.
A new tool has arrived: a highly customizable, open-source robot design called The Robot of Theseus (TROT), developed at the University of Michigan. TROT can model most mammals and enable direct comparisons of variations on the same structure, helping researchers discover the advantages related to limb length and segmentation.
Researchers at Duke University have created a programmable Lego-like material that can change its stiffness and damping in response to temperature changes. The material, made from gallium and iron, can be programmed to mimic various commercially available soft materials.
Researchers at Harvard University have developed a new design method for optimizing rolling contact joints in robots, which can lead to better grippers, assistive devices, and more efficient robotic movement. The optimized joints performed spectacularly, correcting misalignment by 99% in knee-assist devices.
A new fabrication method, optofluidic assembly, has been developed to create tiny 3D objects from a variety of materials, including metals, semiconductors and polymers. The technique uses light-driven flow to guide the assembly of micro- or nanoparticles within a confined space.
Scientists created biologically realistic artificial cilia using hydrogel, enabling precise control over their motion. The tiny structures can be powered by low-voltage electrical signals and have shown remarkable durability and versatility.
A low-cost, simple robotic apple picker arm developed by Washington State University researchers can pick an apple in about 25 seconds. The inflatable arm is made of a soft fabric filled with air and weighs less than 50 pounds, making it safe to use in orchards.
A team of Princeton engineers studied grasshopper gliding to develop a model for multimodal locomotion in tiny robots. They successfully created a glider that can fold its wings and change strategies depending on the situation, achieving performance comparable to actual grasshoppers.
Developed by U-M and Penn, the robots can sense and respond to their surroundings, operate for months, and cost just a penny each. They have applications in monitoring cell health and aiding manufacturing.
Researchers at Penn and UMich created microscopic swimming machines that can independently sense and respond to their surroundings, operate for months, and cost just a penny each. The robots are powered by light and can be programmed to move in complex patterns, sense local temperatures, and adjust their paths accordingly.
A new robotic design uses vine-like structures to lift and grasp a variety of objects, including humans, with a gentler approach. The robot can snake around obstacles, squeeze through tight spaces, and even secure itself in a closed loop to create a sling.
Researchers developed soft robots inspired by manta rays, utilizing magnetic fields to move, recharge power supply, and perform tasks autonomously. The magnets stabilize electrochemical reactions in flexible batteries, enhancing performance and efficiency.
Researchers developed a soft robotic skin that allows vine robots to navigate convoluted paths and fragile environments. The robot is steered by controlling the pressure inside its body and temperature of the actuators.
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.
Grade school children learn robotics through performance-based learning, exploring science, tech, engineering, arts, and math. The expanded curriculum will introduce ethical considerations, such as fairness, privacy, and bias in technology.
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.
The robotic exoskeleton TWIN has been awarded the Compasso d’Oro International Award for its innovative design and ability to adapt to different user needs. Developed by Rehab Technologies IIT – INAIL and ddpstudio, TWIN provides energy assistance to individuals with limited mobility, enabling them to stand, walk, and sit down.
A team of researchers has developed a mathematical model that integrates sensory feedback to enable eel-like robots to swim and crawl on land. The study shows how multisensory feedback enables eels to adapt their movement patterns after spinal cord injury, providing insights into the evolutionary transition of vertebrates from water to...
A Washington State University-led team has designed a robotic harvester that can detect and classify hidden strawberries 80% of the time. The harvester uses a combination of artificial-intelligence vision system, soft silicone grippers, and a fan to gently move leaves out of the way, improving picking efficiency.
Researchers at NTU Singapore have developed an AI-powered robotic system to assemble cyborg insects for search and rescue efforts, significantly reducing preparation time and human error. The automated system can attach electronic backpacks to Madagascar hissing cockroaches in under 8 minutes, about 30 times quicker than manual methods.
Researchers have developed soft artificial muscles that provide the performance and mechanical properties required for building robotic musculoskeletal systems. The new muscles can be battery-powered, enabling robots to move more naturally and safely in unstructured environments.
Scientists create programmable lattice structure with infinite geometric variations, enabling the fabrication of lightweight, adaptable robots inspired by biological tissues. The technology offers scalable solutions for designing unprecedentedly flexible and rigid robots.
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.
Researchers developed a new robot navigation system called LENS, which uses brain-inspired computing to set a low-energy benchmark for robotic place recognition. The system combines a spiking neural network with a special camera and low-power chip to enable fast and energy-efficient location tracking.
Researchers at Harvard developed link-bots, centimeter-scale robots composed of V-shaped chains with notched links, capable of coordinated movements and emergent collective behavior. The team demonstrated link-bots' ability to move forward, stop, change direction, squeeze through gaps, and cooperate on tasks.
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.
Researchers at Duke University developed a novel framework called WildFusion that fuses vision, vibration and touch to enable robots to sense complex outdoor environments like humans do. The system was tested in real-world settings and showed remarkable ability to accurately predict traversability and improve robot decision-making.
SWORD accelerates robotics development by reducing manual coding required for complex applications, integrating CAD with open-source ROS tools to streamline automation. The software models, plans, and executes automation in a user-friendly environment.
A cutting-edge robotic dog, inspired by mammals' swimming style, achieves remarkable efficiency in both aquatic and terrestrial environments. The robot's unique paddling mechanism and bioinspired trajectory planning enable it to reach speeds of up to 0.576 km/h in water and 1.26 km/h on land.
A soft robot can carry loads through the air along established tracks, navigating angles of up to 80 degrees and carrying loads up to 12 times its weight. The robot uses infrared light to move along the track, repeating a rolling motion that pulls it forward.
The new robotic gripper, called GRIP-tape, uses a combination of softness and stiffness to grasp fragile fruits and vegetables with precision. With its ability to navigate obstacles and deposit objects into containers, the gripper has shown promising results in lifting large fruits like lemons.
Researchers developed electronics-free robots that can walk without electronics, using compressed gas as a power source. The robots were printed in one go from standard 3D printing material and demonstrated three-day operation with air pressure control.
The Harvard robot uses latch-mediated spring actuation to jump high and cover long distances relative to its size. It combines walking and jumping modes for effective navigation in natural environments.
A team of researchers has created a robotic material-like collective that can change shape and stiffness in response to internal signals. The robots, composed of disk-shaped autonomous units, use light sensors, magnets, and force fluctuations to achieve this behavior, reducing power consumption compared to traditional robotic systems.
Researchers created cyborg insects with sensors and electronic circuits to aid in disaster relief and navigation. The insects demonstrated ability to overcome obstacles in complex environments, achieving objectives with less effort than purely mechanical robots.
The University of Virginia's AI-powered vision system, mimicking praying mantis eyes, has been selected as the best paper of 2024 by Science Robotics. The innovative system enables machines to track objects in 3D space, addressing limitations in current visual data processing.
Cutaneous electrohydraulic (CUTE) wearable devices can produce a range of tactile sensations, including pressing and vibrations, with unprecedented control. Users perceive most cues as pleasant, highlighting the technology's potential for assistive technologies and augmented reality.
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.
Researchers developed a soft robot with fins shaped like manta rays, capable of swimming up and down throughout the water column. The robot uses spontaneous snapping-induced jet flows to achieve high speeds and maneuverability.
Scientists at Max Planck Institute for Intelligent Systems developed a novel method for deploying multiple magnetic miniature robots to navigate through complex networks resembling blood vessels. The system allows for simultaneous treatment of multiple locations, saving critical time and enabling localized care.
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 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.
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.
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.