Toyota Research Institute demonstrated its research into machine learning, simulation, and manipulation in a virtual open house, which included a ceiling-mounted kitchen gantry robot.
Vanderbilt University researchers say they have determined that a wearable exosuit they designed can relieve fatigue by 29% to 47% in lower back muscles.
The Soft Bubble Gripper developed by a Toyota Research Institute team combines sensors and advanced materials to more safely handle objects in a step toward household robots.
FAULHABER’s 1741 … CXR series DC micromotors provide power to Bioservo Technologies’ Ironhand wearable glove. The exoskeleton is designed to reduce worker strain.
The Gripper Company opened its online shop for business with its first offering — a configurable soft gripper to meet demand for handling diverse objects while trying to keep costs down.
Root AI, which has been developing the Virgo robot to be able to pick multiple types of crops with AI and compliant fingers, plans to expand in North America and Europe.
A team of Michigan State University researchers has built flexible hybrid pneumatic actuator, which could enable safer human-machine interaction with safer robot end effectors.
A new smart fabric that can be inflated and deflated by temperature-dependent liquid-vapor phase changes could enable a new range of mechanotherapeutic and industrial applications.
UC San Diego is developing flexible feet that allow robots to walk faster and grip better because of a mechanism called granular jamming.
MIT researchers built a soft robotic gripper that uses embedded cameras and deep learning to enable tactile sensing and awareness of its positions and movements.
Roboticists at UC San Diego have developed a method using magnetic localization and a neural network to more cheaply and accurately track flexible medical robots than conventional radiation-based methods.
NC State University researchers have developed a soft robot inspired by cheetahs that can move faster on solid surfaces or in the water than previous generations of soft robots.
Soft materials, such as rubber or polymers that can endure drastic changes to their shape, are promising for applications where flexibility and shapeshifting abilities are paramount. For example, these materials can be used to create soft robots suited for specialized tasks, ranging from medical devices that could navigate around inside the body to robots for…
The new OnRobot Soft Gripper is designed to work without an external air supply. The end effector comes in three configurations, is FDA-certified, and works with the One System Solution.
Advances in soft robotics could someday allow robots to work alongside humans, helping them lift heavy objects or carrying them out of danger. As a step toward that future, Stanford University researchers have developed a new kind of soft robot that, by borrowing features from traditional robotics, is safe while still retaining the ability to…
A ‘sensorized’ soft robotic arm combines soft sensors and machine learning to know where it is in a 3D environment.
Just when it seemed like robots couldn’t get any cooler, Cornell University researchers have created a soft robot muscle that can regulate its temperature through sweating. This form of thermal management is a basic building block for enabling untethered, high-powered robots to operate for long periods of time without overheating, according to the Rob Shepherd,…
Chinese researchers recently demonstrated a robotic gripper mechanism that mimics how a sea anemone catches its prey. The bionic torus captures and releases objects by crimping its skin.
Robotic manipulation innovator Soft Robotics has raised $23 million in an “oversubscribed” Series B round, with participation from FANUC.
University of Vermont scientists have reassembled frog cells into xenobots, a programmable organism or organic robot that can move.
Soft Robotics has announced that its new mGrip soft robotic grippers will be available worldwide through FANUC’s distribution network. They will also be integrated with FANUC’s products.
Because they can move in multiple dimensions, optimizing soft robots to perform complex tasks is a huge computational challenge, but a new MIT model can help