[1] Dynamic collision estimator for collaborative robots: A dynamic Bayesian network with Markov model for highly reliable collision detection. Robotics and Computer-Integrated Manufacturing (2024).

More information: Taeuk Moon et al, Development of novel collision detection algorithms for the estimation of fast ion losses in tokamak fusion device, Computer Physics Communications (2024).

A faster collision detection algorithm could enable robots to work more fluidly in the operating room or at home for assisted living. The algorithm, dubbed 'Fastron,' runs up to 8 times faster ...

The algorithm, dubbed 'Fastron,' runs up to eight times faster than existing collision detection algorithms. It uses machine learning to help robots avoid moving objects and weave through complex ...

The research team applied a collision detection algorithm used in the gaming industry to the problem of detecting colliding particles. The existing method divided the space into predetermined ...

In October, at the 30th Digital Avionics Systems Conference in Seattle, MIT researchers will present an early result of that investigation, a new algorithm that uses data from the tracking system ...

By continuously updating dynamic parameters, these methods refine the sensitivity of collision detection systems, rendering them more robust and precise even in variable operational environments [3].

Visualization of collision detection outcomes in the NuBDeC simulation. Box (a) and (b) host the green and the purple triangles, respectively, and the pink triangles span across the boundaries of ...