Results 151 to 160 of about 2,929 (266)

Path Optimization for Cluster Order Picking in Warehouse Robotics Using Hybrid Symbolic Control and Bio-Inspired Metaheuristic Approaches. [PDF]

open access: yesBiomimetics (Basel)
Özbaltan M   +7 more
europepmc   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang   +6 more
wiley   +1 more source

3D‐Printed Shark‐Inspired Soft–Hard Hybrid Underwater Robot With Buoyancy Control and Onboard Vision

open access: yesAdvanced Intelligent Systems, EarlyView.
A fully self‐contained shark‐inspired underwater robot is developed using 3D‐printed soft–hard hybrid structures, servo‐driven propulsion, and pump‐based buoyancy control. The platform achieves three‐dimensional locomotion and onboard vision‐based target tracking, offering a reproducible and accessible framework for biomimetic underwater robot research.
Shotaro Saito   +3 more
wiley   +1 more source

One‐Shot Multimaterial 3D Printing of a Flexible Spine for a Robotic Fish Prototype

open access: yesAdvanced Intelligent Systems, EarlyView.
A one‐shot multimaterial 3D printing approach enables a monolithic soft robotic fish integrating a compliant spine and rigid vertebrae. Electromagnetic linear actuators drive tendon‐based transmission, producing controlled tail oscillations. Finite element modeling and experiments show strong agreement, while optimized material selection improves ...
Marco Colletta   +3 more
wiley   +1 more source

Kinematic Model of Anthropomorphic Robotics Finger Mechanisms

open access: yesIOSR Journal of Mechanical and Civil Engineering, 2013
openaire   +1 more source

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata   +14 more
wiley   +1 more source

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