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
The computing industry's energy appetite is notoriously ravenous. Currently, this results in the industry producing between 2.1 and 3.9 percent of all global carbon emissions.
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!
TENN, developed by BrainChip, is an efficient AI technology designed for edge and event-based processing, reducing energy and computational demands for applications in various sectors.
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.