The researchers said this technology could make it easier for doctors to detect diseases like breast cancer when they’re more treatable.

Soft Robotics divested its robotic gripper business to Schmalz for an undisclosed amount. A new spinoff, Oxipital AI, will focus on 3D vision and AI for inspection and robotic picking.

Learn how low-cost soft actuators enabled researchers to build a worm-like crawling robot.

3D printing enables novel, lightweight structures for robotics, as well as new ways to use robots in manufacturing, says Replique.

RoboGrocery uses soft robotics, sensors, and algorithms to handle a stream of unpredictable objects on a conveyor belt, said MIT CSAIL.

Ubiros has developed grippers with force-sensing capabilities to bring automation to more picking tasks, explains President Onder Ondemir.

Project CETI is using robotics, machine learning, biology, linguistics, natural language processing, and more to decode whale communications. 

TRI’s Punyo humanoid robot can manipulate objects with its whole body, giving it more flexibility when it comes to household tasks.

The USC team built a 3D structure of electrodes that converts stretch and release to a process of folding and unfolding.

Soft Robotics applies NVIDIA Isaac Sim’s synthetic data to food processing automation in efforts to improve safety and increase production.

This special video podcast episode features an American Sign Language translated edition of The Robot Report Podcast episode 98, an interview with Tatum Robotics founder Samantha Johnson.

Soft Robotics brought in $26 million in the first closing of its Series C funding round to expand commercial deployment of its mGripAI.

Researchers at Harvard have created a tentacle-like gripper that can grasp irregularly shaped or soft objects without damaging them. 

The CSAIL team hopes their technology can be used to create wearable devices that provide feedback on how the user is moving. 

CSAIL’s Perceptual Science Group created touch sensors for their gripper, allowing it to feel with the same sensitivity as human skin. 

The researchers are hoping to create robots made from many individual units that act individually but cooperatively. 

The robots could be used in swarms to pollinate a field of crops, or to search for survivors in disaster areas.

The key to the team’s actuator’s quick movements is in its bi-stable design, and the shape it prefers depends on the temperature.

A research team from five different universities developed robotic grippers inspired by insects that are able to handle delicate objects.

A computer model relates a finger’s desired position to the corresponding pressure a pump would have to apply to achieve that position. Using this model, the team developed a controller that directs the pneumatic system to inflate the fingers.

Guided by a set program that autonomously switched between off, low, medium, and high pressures, the robotic hand was able to press the buttons on the controller to successfully complete the first level of Super Mario Bros. in less than 90 seconds.

The Soft Bubble Gripper uses visuo-tactile sensing techniques that allow a robot to recognize objects by shape, track their orientation in its grasp and sense forces as it interacts with the world.