Results 111 to 120 of about 180,887 (294)
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 +3 more
wiley +1 more source
Task oriented nonlinear control laws for telerobotic assembly operations [PDF]
The goal of this research is to achieve very intelligent telerobotic controllers which are capable of receiving high-level commands from the human operator and implementing them in an adaptive manner in the object/task/manipulator workspace.
Elia, C. F., Walker, R. A., Ward, L. S.
core +1 more source
Intelligent Operator‐Independent Flexibility in Robotic Non‐Destructive Evaluation
Non‐destructive evaluation of high‐value components remains a manufacturing bottleneck due to rigid robotic calibration and fixturing. This study presents a flexible, adaptable system integrating 3D vision and force‐position control with a collaborative KUKA LBR robot. The geometry‐agnostic system enables pose‐independent ultrasonic inspection, detects
Amine Hifi +11 more
wiley +1 more source
Synthesis of Mechanisms by Methods of Nonlinear Dynamics
This paper deals with a new method for parametric kinematic synthesis of mechanisms. The traditional synthesis procedure based on collocation, correction and optimization suffers from the local minima of objective functions, usually due to the local ...
Michael Valášek, Zbynek Šika
doaj
Data‐Driven Modeling of Forces Exerted by Pneumatic Actuators for a Pediatric Exosuit
This work presents the experimental analysis and data‐driven modeling of the interaction forces between soft pneumatic actuators designed to assist upper‐extremity motion in a pediatric exosuit and an engineered test rig, across different experimental conditions: (A) force profiling of shoulder actuators, with varying actuator anchoring points and ...
Mehrnoosh Ayazi +4 more
wiley +1 more source
Evolutionary models of lateralization: Steps toward stigmergy?
Lucio Tonello +2 more
doaj +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
My presentation on the usage of embedded workspaces in the Physiome Model Repository given at the 7th International CellML Workshop. Embedded workspaces are implemented as mercurial subrepositories.
openaire +1 more source
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley +1 more source
While dual‐electrode‐free Zn‐MnO2 batteries offer high voltage, intrinsic safety and simple manufacturing, their efficiency and stability are limited by incompatible Zn and MnO2 redox chemistries. This work introduces a dissimilar electrolyte architecture to decouple Zn and MnO2 reactions, endowing a dual‐electrode‐free and lean‐electrolyte Zn‐MnO2 ...
Xian Xie +11 more
wiley +2 more sources

