New skin-like sensors fit almost everywhere

Researchers from the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM) have developed an automatic process for making soft sensors. These universal measurement cells can be attached to almost any kind of object. Applications are envisioned especially in robotics and prosthetics. “Detecting and sensing our environment is essential … Read more

Scientists develop stretchable robotic fabrics that enable error-prone robotic modules to march in formation

Robotic fabrics that can shrink, grow in size and move with precision are becoming a reality, thanks to new research from scientists at the University of Sheffield. The study, led by Dr. Roderich Gross from the University’s Department of Automatic Control and Systems Engineering, has demonstrated for the first time how low-power robotic modules—approximately the … Read more

Robotic hand rotates objects using touch, not vision

Inspired by the effortless way humans handle objects without seeing them, a team led by engineers at the University of California San Diego has developed a new approach that enables a robotic hand to rotate objects solely through touch, without relying on vision. Using their technique, the researchers built a robotic hand that can smoothly … Read more

Researchers develop machine-learning technique that can efficiently learn to control a robot

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. This technique could help an autonomous vehicle learn to compensate for slippery road conditions to avoid … Read more

Research improves quadruped bounding with efficient learning method

In a study published in special issue of the journal IET Cyber-Systems and Robotics, researchers from Zhejiang University experienced in legged robot motion and control, pre-trained the neural network (NN) using data from a robot operated by conventional model-based controllers. This pre-training served as a preliminary measure to prevent behavior overriding and reward hacking—a situation … Read more

Researchers develop low-cost sensor to enhance robots’ sense of touch

Achieving human-level dexterity during manipulation and grasping has been a long-standing goal in robotics. To accomplish this, having a reliable sense of tactile information and force is essential for robots. A recent study, published in IEEE Robotics and Automation Letters, describes the L3 F-TOUCH sensor that enhances the force sensing capabilities of classic tactile sensors. … Read more