Results 181 to 190 of about 1,181,281 (295)

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

The complementary roles of conformity and Q-learning in the prisoner's dilemma with punishment. [PDF]

J R Soc Interface
Fan L, Liu L, Liu L, Xu H, Gao S, Wang Z.   +5 more
europepmc   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Hydrogeochemical Characteristics and Water Quality Assessment of the Carboniferous Shanxi Formation Sandstone Water in the Huafeng Coal Mine Using an Integrated GTCWM-FCE-TOPSIS Framework. [PDF]

ACS Omega
Qiu M, Dong J, Xing T, Sun P, Wang L, Yang J.   +5 more
europepmc   +1 more source

Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing

Advanced Robotics Research, EarlyView.
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou, Baichuan Lou, Wenhui Huang, Binbin Hu, Haohan Yang, Haochen Liu, Xiangkun He, Chee Kiong Ong, Yiran Zhang, Tianchu Su, Bolin Zhao, Xiaoyu Mo, Holden King Ho Li, Chen Lv   +13 more
wiley   +1 more source

Secure Cooperative Communications in 6G Networks: A Constrained Hierarchical Reinforcement Learning Framework with Hybrid Action Space. [PDF]

Entropy (Basel)
Tian X, Wang Z, Ni Y.
europepmc   +1 more source

Middle School Classroom Furniture Evaluation Model Based on Combinatorial Weighting of Game Theory

BioResources
Within the context of educational innovation, diversified teaching models impose higher requirements on classroom furniture adaptability. However, conflicting multi-stakeholder demands and configuration imbalances constrain the upgrading of educational ...
Yu Liang, Yihui Yan, Huiyuan Guan
doaj  

Wireless Precise Manipulation of Tumor Spheroids Using a Millirobot Controlled by Permanent Magnetic Traps

Advanced Robotics Research, EarlyView.
A magnetic donut‐like millirobot is developed for label‐free pick‐and‐place of a tumor spheroid wirelessly controlled by a magnetic trap. Spheroids are important 3D multicellular culture systems that recapitulate key structural and functional features of native tissues.
Yue Gao, Moonkwang Jeong, Anni G. Muñoz, Ann‐Sophia Müller, Fangchao Long, Shengqiang Zhou, Juntian Qu, Leoni A. Kunz‐Schughart, Tian Qiu   +8 more
wiley   +1 more source

Simplicial Complexes of Placement Games

, 2013
Placement games are a subclass of combinatorial games which are played on graphs. In this thesis, we demonstrate that placement games could be considered as games played on simplicial complexes. These complexes are constructed using square-free monomials.
Huntemann, Svenja
core  

Multi-task procedural content generation with reinforcement learning. [PDF]

Sci Rep
Nekahdari A, Kouzehkonani ED, Saeedi N, Shirini K, Gharehveran SS.   +4 more
europepmc   +1 more source