Motion Control

New Neural Blueprint Lets Soft Robots Learn Once and Adapt Instantly

A new artificial intelligence control system enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly, without needing retraining or sacrificing functionality. This breakthrough brings soft robotics closer to human-like adaptability for real-world applications. Read on to learn more.

Monitoring and Control of Each Nanosatellite within a Cluster of Nanosatellites

NASA has developed an innovative combination of a Magnetometer, low-powered ElectroMagnets, and Resonant Inductive Coupling (MEMRIC) to create and control relative positioning of nano satellites within a cluster. This is a game-changing approach to enable distributed nanosatellite (nanosat) clusters. Read on to learn more.

Teaching a Robot How to Solve Manipulation Problems

Researchers from MIT and NVIDIA Research have developed a novel algorithm that dramatically speeds up a robot’s planning process. Their approach enables a robot to “think ahead” by evaluating thousands of possible solutions in parallel and then refining the best ones to meet the constraints of the robot and its environment. Read on to learn more.

A Soft Robot Can Carry Loads Through the Air

Researchers have created a light-powered soft robot that can carry loads through the air along established tracks, similar to cable cars or aerial trams. The soft robot operates autonomously, can climb slopes at angles of up to 80°, and can carry loads up to 12 times its weight. Read on to learn more.

Tape-Based Robot Reaches Far When Extended

It’s a game a lot of us played as children — and maybe even later in life: unspooling measuring tape to see how far it would extend before bending. But to engineers at the University of California San Diego, this game was an inspiration, suggesting that measuring tape could become a great material for a robotic gripper. Read on to learn more about their robot, GRIP-tape.

Soft Sensing, Self-Healing Materials for Robotic Hands and Arms

These materials can detect when they are damaged, take the necessary steps to temporarily heal themselves, and then resume work.

A Training Method for Multiagent Systems Promises Safe Operation

A team of MIT engineers has developed a training method for multiagent systems that can guarantee their safe operation in crowded environments. Read on to learn more about it.

Insect Cyborgs: Toward Precision Movement

In a recent study published in the journal eLife, an international research group has studied the relationship between electrical stimulation in stick insects’ leg muscles and the resultant torque (the twisting force that makes the leg move). Read on to learn what they found.

Foot Pedal Controller

Innovators at the NASA Johnson Space Center have developed a novel foot-pedal-operated system and device to control movement of an object in 3D space. The Foot Pedal Controller system enables operators to control movement of spacecraft, aircraft, and watercraft using only foot pedals. Read on to learn more.

New Soft Robot Rolls Like Tires, Spins Like Tops, Orbits Like Moons

Researchers have developed a new soft robot design that engages in three simultaneous behaviors: rolling forward, spinning like a record, and following a path that orbits around a central point. The device, which operates without human or computer control, holds promise for developing soft robotic technologies that can be used to navigate and map unknown environments. The new soft robots are called twisted ringbots. Read on to learn more about them.

Enabling Robots to Interpret Surroundings Quickly and Accurately

MIT engineers have developed a method that enables robots to make similarly intuitive, task-relevant decisions. The team’s new approach, named Clio, enables a robot to identify the parts of a scene that matter, given the tasks at hand. Read on to learn more about Clio.

Self-Propelled Nanorobots

The “nanoswimmers” could be used to remediate contaminated soil, improve water filtration, or even deliver drugs to targeted areas of the body.

Using Machine Learning to Teach New Tricks to ANYMal Robot

ANYmal has for some time had no problem coping with the stony terrain of Swiss hiking trails. Now researchers at ETH Zurich have taught this quadrupedal robot some new skills: it is proving rather adept at parkour. ANYmal is also proficient at dealing with the tricky terrain commonly found on building sites or in disaster areas. Read on to learn more.

Deep Learning Models Enable Robotic Motion

MIT engineers are aiming to give robots a bit of common sense when faced with situations that push them off their trained path. They’ve developed a method that connects robot motion data with the “common sense knowledge” of large language models, or LLMs.

Miniscule Robots of Metal and Plastic

A technique enables manufacturing of minuscule robots by interlocking multiple materials in a complex way.

Maneuvering Robot Control Using Machine Learning

Researchers from MIT and Stanford University have devised a new machine-learning approach that could be used to control a robot, such as a drone or autonomous vehicle, more effectively and efficiently in dynamic environments where conditions can change rapidly.

Improved Grasping with an Energy-Efficient Robotic Hand

Grasping objects is a problem that is easy for a human, but challenging for a robot. Researchers designed a soft, 3D-printed robotic hand that cannot independently move its fingers but can still carry out a range of complex movements.

An Underwater Robot for Ocean Cleanup

One of the strategies to combat the mounds of waste found in oceans — especially around coral reefs — is to employ robots to master the cleanup. However, existing underwater robots are mostly bulky with rigid bodies, unable to explore and sample in complex and unstructured environments, and are noisy due to electrical motors or hydraulic pumps.

Four-Legged Robotic System Walks a Balance Beam

Researchers in Carnegie Mellon University’s Robotics Institute have designed a system that makes an off-the-shelf quadruped robot nimble enough to walk a narrow balance beam — a feat that is likely the first of its kind.

Biomimetic “Myriapod” Robot Relies on Dynamic Instability to Navigate

Researchers have invented a new kind of walking robot that takes advantage of dynamic instability to navigate. By changing the flexibility of the couplings, the robot can be made to turn without the need for complex computational control systems.

Hydrodynamic Effect Helps Motorized Objects Navigate Inclines

The tiny motors mimic how rock climbers navigate inclines.

Chemically Driven Wheels “Morph” Into Gears

A catalytic reaction causes a two-dimensional, chemically coated sheet to spontaneously morph into a three-dimensional gear.

Robotic Hand Can Identify Objects with Just One Grasp

Inspired by the human finger, MIT researchers have developed a robotic hand that uses high-resolution touch sensing to accurately identify an object after grasping it just one time.

A Four-Legged Robotic System Can Move on Tough Landscapes

Researchers from MIT’s Improbable Artificial Intelligence Lab have developed a legged robotic system that can dribble a soccer ball under the same conditions as humans.

Chip-Free, Autonomous OrigaMechs with Conductive Materials

Roboticists have been using a technique similar to origami to develop autonomous machines out of thin, flexible sheets. These lightweight robots are simpler and cheaper to make and more compact for easier storage and transport.

Micromotor Winding Technology Uses AI to Improve Motor Performance

Achievable coils increase the capabilities of the micromotors.

Artificial Skin Provides Haptic Feedback

The skin could help rehabilitation and enhance virtual reality by instantaneously adapting to a wearer's movements.

Robotic Wing Could Improve Drone Performance

Ornithological animals have always benefited from folding their wings during upstroke. So, a Swedish-Swiss research team has constructed a robotic wing that can flap like a bird.

A New Method to Improve Motion Planning for Robots

Interactive program aids motion planning for environments with obstacles.