Human–Machine Collaboration: Industry 5.0 values the unique qualities of human workers, intuition, empathy, and ethical judgment, augmenting rather than replacing them through collaborative robots ...

Record pricing and pre-booked facilities will force companies to rethink infrastructure strategies amid an AI-driven market ...

TAMP is a GPU-accelerated TAMP framework that solves complex robotic planning tasks in seconds by evaluating thousands of ...

Botify, the leading agentic and AI search optimization solution for brand visibility for both SEO and Generative Engine Optimization (GEO), today announced expanded platform capabilities and service ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

L-BFGS-B is a limited-memory quasi-Newton code for bound-constrained optimization, i.e., for problems where the only constraints are of the form l <= x <= u.It is intended for problems in which ...

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

We consider the problem of synthesis of iterative learning control (ILC) schemes for constrained linear systems executing a repetitive task. The ILC problem with affine constraints and quadratic ...

This paper designs a distributed algorithm for large-scale constrained optimization problems, where the agents cooperate with each other based on local information and communication information. The ...