Robotics industry
Researchers from Zhejiang University have developed a new digital programming strategy that enables multi-material integration in liquid crystal elastomers (LCEs) via controlled network topology design. This breakthrough has the potential to significantly expand the design possibilities for LCE-based actuators, paving the way for advanced soft robotic material systems. By leveraging
Robotics
Researchers from Shenzhen University have proposed a new robot learning framework that integrates human multimodal demonstration knowledge to guide the reinforcement learning process, resulting in faster convergence and improved applicability to real-world robots. This framework is specifically designed for 3C assembly lines, where robots struggle with vast exploration spaces to
Robotics industry
A recently published patent by the inventors Krishnamoorthy, Arudchelvan, and Mohanarajah, Gajamohan, has revealed a cutting-edge automated storage and retrieval system designed to improve efficiency in item storage and picking work for logistics. The patent, filed on February 7, 2023, and published online on October 14, 2025, focuses on addressing
Robotics
Researchers at Mondragon University have successfully integrated human hints into reinforcement learning frameworks, significantly improving the adaptability and performance of disassembly tasks. The study reveals that manipulation generalization capabilities are enhanced when policies receive human hints regarding where to focus their actions. Employing force overlay types, such as Lissajous curves
Robotics
Researchers from Shenzhen University have proposed a new robot learning framework that integrates human multimodal demonstration knowledge to guide the reinforcement learning process, resulting in faster convergence and improved applicability to real-world robots. This framework is specifically designed for 3C assembly lines, where robots struggle with vast exploration spaces to
Robotics industry
Robots that navigate environments and detect humans in their vicinity require accurate knowledge of their surroundings, especially when it comes to human presence. Traditionally, computer vision has been the primary approach for detecting humans, but robotics researchers have now highlighted the potential of 2D range finders as an often-overlooked hardware
Robotics
Researchers from Shenzhen University have proposed a new robot learning framework that integrates human multimodal demonstration knowledge to guide the reinforcement learning process, resulting in faster convergence and improved applicability to real-world robots. This framework is specifically designed for 3C assembly lines, where robots struggle with vast exploration spaces to
Artificial intelligence
Samsung has announced plans to integrate digital twins, AI, and robotics across its manufacturing infrastructure, starting with a new Megafactory in collaboration with NVIDIA. The goal is to create a fully intelligent and predictive environment, leveraging NVIDIA GPUs to embed AI throughout the manufacturing flow. This marks a significant shift
Robotic surgery
A new study on Robotics has discovered a promising alternative for medical cures through the use of robot-assisted endovascular surgery (RES). The research, led by Shuxiang Guo of South University in Guangdong, People's Republic of China, has developed a multimodal feedback sensing system integrated with four kinds of
Artificial intelligence
Hyundai Motor Group, a global mobility company, and NVIDIA, a leading AI computing company, are partnering with the Korean government to develop Korea's AI industry. The collaboration aims to establish an AI Application Center and AI Technology Center, nurture local AI talent, and build a vibrant innovation ecosystem.
Artificial intelligence
NVIDIA has expanded its "Mega" Omniverse Blueprint, a tool for simulating robot fleets, to include technologies for designing and simulating factory digital twins. This new expansion is aimed at helping manufacturers build state-of-the-art robotic factories and new autonomous collaborative robots to overcome labor shortages and drive American reindustrialization.
Machine learning
Researchers from Jeonbuk National University have made significant advancements in the field of robotics by developing a Wheeled Inverted Pendulum with a Fan (WIPF). This innovative system incorporates a fan-generated bidirectional thrust force as an additional control input, making it fully actuated and enhancing stability. However, the limited bandwidth of
