IEEE

Optimization-Based Task and Motion Planning Under Signal Temporal Logic Specifications Using Logic Network Flow

Abstract: This paper proposes an optimization-based task and motion planning framework, named “Logic Network Flow”, to integrate signal temporal logic (STL) specifications into efficient mixed-binary ...
The Hour

AI chatbots are becoming everyday tools for mundane tasks, use data shows

(THE CONVERSATION) Artificial intelligence is fast becoming part of the furniture. A decade after IBM’s Watson triumphed on “Jeopardy!,” generative AI models are in kitchens and home offices. People ...
Frontiers

Classification of Patients With Early-Stage Multiple Sclerosis and Healthy Controls Using Kinematic Analysis During a Dual-Task

The final, formatted version of the article will be published soon. Multiple sclerosis (MS) is the disabling neurological disease that currently most affects young people. Changes in gait ...
IEEE

Edge-Cloud based Framework to Offload Task in Vehicular Edge Computing Using Optimized Deep Reinforcement Learning Approaches

Abstract: Vehicular edge computing (VEC) is rapidly gaining traction to satisfy computationally demanding vehicular applications such as autonomous driving, monitoring traffic flow, remote vehicle ...