Results 201 to 210 of about 14,677 (261)

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Energy-aware and trust-based secure routing in manets using swarm intelligence techniques. [PDF]

Sci Rep
Hemalatha S, Das NN, Arunkumar R, Singh C.   +3 more
europepmc   +1 more source

A cognitive synergetic hierarchical framework for UAV swarm combat via speculative inference and role-decoupled reinforcement learning. [PDF]

Front Neurorobot
Wang L, Liu Y, Guo L, Zhang R, Cui Y, Cui Y, Xu C.   +6 more
europepmc   +1 more source

Quantum-entangled neuro-symbolic swarm federation for privacy-preserving IoMT-driven multimodal healthcare. [PDF]

Sci Rep
Ben Othman S, Ali O.
europepmc   +1 more source

Reverse Mutation for Optimization Learning Artificial Lemming Algorithm and Its Application in Engineering. [PDF]

Biomimetics (Basel)
Tang M, Zheng Y, Li L, Cao L, Cheng Z.
europepmc   +1 more source

Nature-inspired swarm optimization paradigms for securing semantic web frameworks against DDoS attacks: a computational approach. [PDF]

Sci Rep
Ganguli C, Kumar Shandilya S, Izonin I, Hentosh L.   +3 more
europepmc   +1 more source

Bio-Inspired Swarm Navigation on Resource-Constrained Robots for GPS-Denied Environments. [PDF]

Sensors (Basel)
Sheikder C, Zhang W, Chen X, Li F, He X, He H, Fan S, Tan X.   +7 more
europepmc   +1 more source

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Survey of Swarm Intelligence Algorithms

Proceedings of the 3rd International Conference on Software Engineering and Information Management, 2020
Swarm Intelligence (SI) is an AI technique that has the collective behavior of a decentralized, self-organized system. SI has more advantages such as scalability, adaptability, collective robustness and individual simplicity and also has the ability to solve complex problems.
Suganya Selvaraj, Eunmi Choi
openaire   +1 more source

Modeling Swarm Intelligence Algorithms for CPS Swarms

ACM SIGAda Ada Letters, 2020
Swarms of cyber-physical systems (CPSs) have a high potential for innovative and successful applications. Swarm intelligence algorithms are one approach to handle the increased complexity that comes with the high number of CPSs in a swarm. In such algorithms, individual CPSs follow simple rules that lead to an emergent behavior.
M. Schranz, M. Sende
openaire   +1 more source