Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Interesting Engineering

US university boosts robotics and Physical AI research with OptiTrack motion capture systems

OptiTrack powers CMU's new robotics hub with precision motion capture for AI, drones, and autonomous robot research.
Interesting Engineering

Norwegian firm unveils world’s first certified 3D ultrasonic sensor for safer robots

Sonair unveils ADAR One, a certified 3D ultrasonic sensor that boosts robot safety with all-around human detection.
GitHub

AnInsomniacy/tracknet-series-pytorch

PyTorch implementation of the TrackNet shuttlecock trajectory tracking family, covering TrackNet V1, V2, V3, V4, and V5 in one reproducible pipeline. The project provides source code for preprocessing ...
Neuroscience News

Hand Dominance Is Driven by Practice, Not Birth

Summary: A new study demonstrates that the motor skill gap between our two hands is not innate at all. By isolating raw biological movement from complex object interaction using 3D motion capture, the ...
IEEE

Cross-Level Fusion: Integrating Object Lists with Raw Sensor Data for 3D Object Tracking

Abstract: Smart sensors and Vehicle-To-Everything (V2X) modules are commonly utilized in automotive perception systems, which primarily provide processed object lists rather than raw data. However, ...
IEEE

Low-Light Amodal Objects Tracking: A Benchmark

Abstract: Object tracking in real-world scenarios is often hampered by the simultaneous challenges of low light and partial object occlusion. While existing evaluation datasets have tackled these ...