Machine learning
A new study published in the journal Intelligent Systems with Applications has revealed the development of a dexterous soft-robotics based assistive glove with spatial kinematic model and control system. The research was conducted by a team of engineers at Meiji University, led by Nawara Mahmood Broti, and aimed to create
Machine learning
A patent for a multi-source illumination unit has been published online, revealing a groundbreaking design that utilizes two electromagnetic wave sources to illuminate a sample in distinct regions. The inventors, Kang, Zhiwen, Wang, Yixiang, and Zhang, Jian, have developed a system that leverages a reflector to collimate the second electromagnetic
Machine learning
Researchers at UC Berkeley have developed an AI-powered training method that enables robots to master complicated tasks like Jenga whipping with a 100% success rate. The system, called Human-in-the-Loop Sample Efficient Robotic Reinforcement Learning (HiL-SERL), teaches robots how to perform tasks by studying demonstrations and learning from both human feedback
Artificial intelligence
Geoffrey Hinton, known as the Godfather of AI, has sounded the alarm about the potential for artificial intelligence to surpass humans not just in intelligence but also in emotional manipulation. In a recent interview, he warned that AI systems are already capable of influencing human feelings and behavior more effectively
Artificial intelligence
First lady Melania Trump made a rare public appearance on Thursday, stressing the importance of responsible stewardship of artificial intelligence (AI) and its impact on children. Speaking at the White House, she called on private and public sector leaders to prioritize preparation for the growth of AI, which she described
Artificial intelligence
The White House sees teaching students AI literacy from an early age as crucial to ensuring American competitiveness in the field. First Lady Melania Trump highlighted this importance at a recent event, where cabinet secretaries and tech CEOs promised new commitments for AI in education. The administration is doubling down
Artificial intelligence
The logistics automation market is expected to experience significant growth, driven by the increasing demand for efficient and streamlined logistics operations. The market is projected to reach $52.53 billion by 2029, growing at a compound annual growth rate (CAGR) of 8.4%. The adoption of advanced technologies such as
Artificial intelligence
The Space Robotic Solutions market is on the cusp of remarkable growth, driven by advancements in automation, artificial intelligence, and robotics. This escalating market, valued at USD 6.1 billion in 2025, is projected to reach USD 12.7 billion by 2034, demonstrating a robust Compound Annual Growth Rate (CAGR)
Machine learning
TE Connectivity Solutions GmbH has been granted a patent for its innovative system that allows mobile robots to autonomously take an elevator, enhancing their mobility and safety. This achievement comes after the inventors filed the patent on March 13, 2020, and it was published online on August 12, 2025. The
Machine learning
Developed by researchers at Ibaraki University in Japan, a new transformable wheel mechanism called the dual legged-wheel (DLW) system has been designed to enable commercial vehicles to transport a wide range of weights over paved roads. The DLW system consists of two tri-legged structures coaxially connected through an elastic mechanism,
Machine learning
Researchers from Stanford University have developed a custom robotic end-effector, known as SLIM, designed to operate in cluttered and confined spaces. The system addresses the limitations of traditional robotic manipulators by introducing a bidirectional hand and an integrated 2-axis wrist. Funded by the NSF Graduate Fellowships and the Toyota Research
Machine learning
Researchers from the University of Modena and Reggio Emilia have made a significant breakthrough in achieving robust robot control by introducing new formulations for constructing sensitivity tubes. The study, published in the IEEE Robotics and Automation Letters, proposes two new methods for precisely representing the real closed-loop behavior of a
