Robotics industry
Soft robotics is a promising field that has the potential to revolutionize various industries. However, conventional shape memory alloy (SMA)-based systems are limited in achieving effective bidirectional motion. Researchers from South China University of Technology have developed Paired Fluid-Mediated Bidirectional Shape Memory Alloy (Paired-FBSMA) actuators, which couple thermally driven
Robotics industry
Researchers at North Carolina State University have developed a new 3-D printing technique that can create paper-thin "magnetic muscles," which can be applied to origami structures to make them move. This innovation has the potential to transform medicine delivery, making it less invasive and more effective. The magnetic
Robotics industry
Researchers from Beijing Jiaotong University have developed a new soft actuator that can be rapidly folded and restored to its original shape, opening up possibilities for robotics and remote control applications. The kirigami-based soft actuator (KBSA) utilizes highly elastic material and can retain a certain height post-compression, making it stable
Robots
Researchers at North Carolina State University have developed a new 3-D printing technique that can create paper-thin "magnetic muscles," which can be applied to origami structures to make them move. This innovation has the potential to transform medicine delivery, making it less invasive and more effective. The magnetic
Machine learning
Samsung Electronics Co. Ltd. has been awarded a patent for its novel robot control method, which enhances location recognition and navigation capabilities in robots. This achievement demonstrates the company's commitment to advancing robotics and artificial intelligence. The proposed method involves a robot with a spherical shape, equipped with
Artificial intelligence
Yunji Technology, a global leader in the hospitality robotic-based AI agents market, has successfully debuted on the Hong Kong Stock Exchange, marking a critical milestone in its journey to scaled deployment of hospitality robotic-based AI agents. Founded in 2014, Yunji Technology offers adaptive and scalable robots and functional kits, complemented
Artificial intelligence
Yunji Technology has emerged as a leading player in the global and Chinese hotel robot market, according to a Frost & Sullivan report. As of 2024, Yunji Technology holds the largest market share, providing robots and functional suites, supplemented by AI digital system services. The company's adaptable and
Artificial intelligence
AIBotics, a developer and integrator of AI- and robotics-enhanced technologies, has made its official entry into the Middle East market with its initial shipment of service robots from KEENON, a globally renowned leader in service robotics. This milestone marks the beginning of AIBotics' expansion into the region, which is
Periodical publishing
Researchers at Nanjing University of Aeronautics and Astronautics have developed a new dynamics modeling method for mobile industrial robots (MIRs), specifically designed for in-situ milling machining. This method employs the multibody systems transfer matrix method to derive overall transfer equations and dynamics response equations for the system. The research aims
Artificial intelligence
Researchers from Huazhong University of Science and Technology in Wuhan, People's Republic of China, have developed a framework for creating small-scale soft robots with enhanced environmental intelligence. These robots, constructed from programmable flexible electronic components and setae modules, can adapt to diverse environments and perform complex tasks such
Periodical publishing
Researchers at Selcuk University in Turkiye have developed an adaptive system to minimize system errors in welding operations performed by welding robots. The study, which has been peer-reviewed, aims to optimize the welding quality in industrial production by controlling the robot's speed and torch position based on the
Artificial intelligence
In a groundbreaking study, researchers from Hokkaido University have demonstrated the potential of artificial intelligence (AI) and robotics to transform the landscape of chemical and materials research. By integrating AI and robotics, researchers can now conduct high-throughput, data-driven experimentation with minimal human intervention, paving the way for a new era
