Results 261 to 270 of about 12,004,986 (327)

Bridging High‐Fidelity Simulations and Physics‐Based Learning using a Surrogate Model for Soft Robot Control

Advanced Intelligent Systems, EarlyView.
A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for reinforcement learning, validated through sim‐to‐real experiments. Soft robotics holds immense promise for applications requiring adaptability and compliant interactions ...
Taehwa Hong, Jungjae Lee, Byung‐Hyun Song, Yong‐Lae Park   +3 more
wiley   +1 more source

Enhancing knowledge graph recommendations through deep reinforcement learning. [PDF]

Sci Rep
Zhou J, Shen D, Guo Y, Zhao Y, Zhang H.
europepmc   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Meta-path guided policy distillation for resilient coordination in autonomous unmanned swarm. [PDF]

PLoS One
Han X, Wang H, Jia Q, Gou Y, Li B, Liu J, Han Z, Hou G, Li K, Ye J, Lin Y, Wei S.   +11 more
europepmc   +1 more source

Autonomous Robotic Colonoscopy: A Supervised Learning Approach for Enhanced Navigation and Collision Detection

Advanced Intelligent Systems, EarlyView.
A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang, Dae Kyung Sohn, Seonggun Joe, Byungkyu Kim   +3 more
wiley   +1 more source

Adaptive Policy Switching for Multi-Agent ASVs in Multi-Objective Aquatic Cleaning Environments. [PDF]

Sensors (Basel)
Seck D, Yanes-Luis S, Perales-Esteve M, Marín ST, Gutiérrez-Reina D.   +4 more
europepmc   +1 more source

Policy learning and transfer in regional lifelong learning policies

, 2010
openaire   +1 more source

A Female‐Locust‐Inspired Hybrid Soft‐Stiff Robotic Digger: Mimetics and Implications for Digging Efficiency

Advanced Intelligent Systems, EarlyView.
Female desert locusts dig underground to lay their eggs. They displace soil, rather than removing it, to create a tunnel. We analyze burrowing dynamics and 3D kinematics and design a locust‐inspired hybrid soft–stiff robot that reproduces this mechanism. The results show the natural strategy minimizes energy, whereas alternative patterns raise costs up
Shai Sonnenreich, Amir Ayali, Bat‐El Pinchasik   +2 more
wiley   +1 more source

Optimizing thermoelectric energy harvesting using deep reinforcement learning for dynamic energy management and system efficiency. [PDF]

Sci Rep
Chaudhari CN, Rtamanyu NJ, Shreya Kunda NS, Pranave KC, Pandey M, Sruthi S, Khanna M.   +6 more
europepmc   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source