Author name: Active

Ning Wang a, Hamid R. Parsaei b,Yali Ren c, 28 June 2026https://www.sciencedirect.com/science/article/abs/pii/S0925231226008660 Abstract This paper presents a novel Deep Q-Learning (DQL) framework for multi-robot navigation that addresses the critical problem of target congestion in swarm robotics systems. The framework employs a Centralized Training with Decentralized Execution (CTDE) paradigm, where a single Deep Q-Network (DQN) agent […]

ACM Computing Surveys, Volume 58, Issue 13, 22 June 2026https://dl.acm.org/doi/10.1145/3817444 Abstract The rapid advancement of unmanned aerial vehicle (UAV) swarm systems has enabled their deployment in large-scale applications such as disaster response, environmental monitoring, logistics, and communication networks. In these scenarios, effective scheduling and coordination of UAV swarms are critical for mission success, particularly under

25 June 2026https://www.nature.com/articles/s41598-026-45593-z Abstract The automation of chemical research through self-driving laboratories (SDLs) promises to accelerate scientific discovery, yet the reliability and granular performance of the underlying AI agents remain critical, under-examined challenges. In this work, we introduce AutoLabs, a self-correcting, multi-agent architecture designed to autonomously translate natural-language instructions into executable protocols for a high-throughput

June 22, 2026https://www.bioagworlddigest.com/kisaan-parivar-launches-ai-agriculture-pilot-with-carnot-fvd-advisory-and-rbl-bank/ 120-Day Telangana Initiative Combines Precision IoT Analytics with Structured Working-Capital FinTech In a strategic move to optimize cash flow and precision inputs across rural farming corridors, Kisaan Parivar launches AI agriculture pilot with Carnot, FvD Advisory and RBL Bank. Deployed at the Sudanapally project site in Telangana, this 120-day proof of concept evaluates

https://www.farmroboticschallenge.ai/2026participants The 2026 Farm Robotics Challenge brings together the world’s brightest minds in agricultural innovation, from university research labs to high school FFA classrooms. Competitors are designing autonomous drones, AI-powered ground vehicles, and precision sensing systems to tackle the real challenges facing farmers today: labor shortages, crop disease, water management, and sustainability. This year, teams