Improved occupational health and safety can enhance productivity by 46% and boost employee well-being. To address these opportunities, Xsens is launching a crash course on topics like injury risk reduction, regulation compliance, and the positive influence of safer workspaces.
Improved occupational health and safety can enhance productivity by 46% and boost employee well-being. To address these opportunities, Xsens is launching a crash course on topics like injury risk reduction, regulation compliance, and the positive influence of safer workspaces.
Someday, you may want your home robot to carry a load of dirty clothes downstairs and deposit them in the washing machine in the far-left corner of the basement. The robot will need to combine your instructions with its visual observations to determine the steps it should take to complete this task.
In this episode, we discuss research coming out of the Karlsruhe Institute of Technology to detect the emotions of tennis players better than humans can!
Unsupervised learning is a machine learning approach that finds patterns, structure, or useful representations in unlabeled data. It groups similar observations, compresses high-dimensional features, detects outliers, discovers item relationships, and supports modern representation learning.
eCozy 2.0 system addresses the limitations of traditional thermostats for water heating radiators, delivering efficiency, convenience and sustainability benefits to households
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
Improved occupational health and safety can enhance productivity by 46% and boost employee well-being. To address these opportunities, Xsens is launching a crash course on topics like injury risk reduction, regulation compliance, and the positive influence of safer workspaces.
Someday, you may want your home robot to carry a load of dirty clothes downstairs and deposit them in the washing machine in the far-left corner of the basement. The robot will need to combine your instructions with its visual observations to determine the steps it should take to complete this task.
In this episode, we discuss research coming out of the Karlsruhe Institute of Technology to detect the emotions of tennis players better than humans can!
The Vision, Robotics & Motion trade event, held annually in Brabanthallen, 's-Hertogenbosch, Netherlands, successfully concluded its 2024 edition on June 5th and 6th.
Scientists from ITMO have come up with a three-step algorithm for the development of manipulators and walking or wearable robots. Compared to the usual methods, the new approach results in lighter, more efficient, affordable, and compact mechanisms.
Yiannis Kantaros will enable teams of robots to interact collaboratively, perceive and respond to their environment with a CAREER Award from the National Science Foundation
To strengthen the case for noninvasive BCIs, Carnegie Mellon researchers have demonstrated that through precision neuromodulation using focused ultrasound, the performance of a BCI could be improved for communication.
A new study that integrates machine learning, optimization, 3D printing and stress experiments allowed engineers to gain insight into these natural wonders by developing a material that replicates the functionalities of human bone for orthopedic femur restoration.
In this episode, we discuss how a talented team of researchers from Stanford university have created a robotic platform capable of imitation learning for conducting over 850 common tasks, including searing shrimp!
Facing the challenge of reducing R&D time for the design and production of high-precision car accessories, Weldbeat Australia turned to Photoneo’s MotionCam-3D camera and 3D Instant Meshing software to streamline their prototyping process, enabling the design and rapid testing before production.
In this episode, we discuss how a PhD student from the Technical University of Eindhoven might’ve cracked the code for high performance computer vision without compromising efficiency.