Results 141 to 150 of about 7,335,515 (304)

Toward Mechanical Intelligence in Robotics

Advanced Robotics Research, EarlyView.
Robots can use their physical bodies to perform functions usually assigned to electronic sensors and controllers. This perspective defines mechanical intelligence through three core operations: filtering inputs, routing mechanical signals, and switching between states.
Xinyi Yang, Xinyi Ding, Tianyu Wang, Daniel I. Goldman, Shucong Li, Bolei Deng   +5 more
wiley   +1 more source

UC Food Waste: A Multimodal Robotic Perception Dataset for Robust Contaminant Detection in Complex Biowaste Scenes

Advanced Robotics Research, EarlyView.
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal, James Ireland, David Hinwood, Xing Wang, Min Wang, Damith Herath   +5 more
wiley   +1 more source

Discrete and Dynamic Optimization Problems in Operation Management

Discrete Dynamics in Nature and Society, 2013
Xiang Li, Chen Zhou, Xiaochen Sun
doaj   +1 more source

Capstone Presentation: Discrete Optimization Problems in Data Science - Practical Solutions for Hard Problems

Many tasks in Data Science and Machine Learning can be formulated as discrete optimization problems. Often, these optimization problems turn out to be algorithmically hard.
Komusiewicz, Christian
core   +1 more source

Enhancing Amphibious Flipper‐Based Locomotion Through Terrain‐Dependent Bayesian Optimization of Central Pattern Generator Control

Advanced Robotics Research, EarlyView.
A sea turtle‐inspired amphibious robot uses simulation‐guided optimization to adapt its flipper coordination to different environments. Sensitivity analysis and multiobjective Bayesian optimization identify terrain‐dependent controllers that are validated on hardware.
Nnamdi C. Chikere, Yasemin Ozkan‐Aydin
wiley   +1 more source

THe Use of the Box Step Method in Discrete Optimization [PDF]

The Boxstep method is used to maximize Lagrangean functions in the context of a branch-and-bound algorithm for the general discrete optimization problem.
Roy E. Marsten
core  

Model Predictive Control for Magnetically Actuated Cellbots

Advanced Robotics Research, EarlyView.
Magnetically actuated cellbots, formed by embedding microrobots in living cells, are steered along precise paths using a model predictive controller enhanced with a Gaussian process disturbance estimator. The data‐efficient method calibrates each cellbot individually, cutting modeling error by roughly 60% and enabling accurate navigation through cell ...
Mehdi Kermanshah, Logan E. Beaver, Max Sokolich, Fatma Ceren Kirmizitas, Ahmad Ahmad, Roberto Tron, Ron Weiss, Sambeeta Das, Calin Belta   +8 more
wiley   +1 more source

Real-time black-box optimization for dynamic discrete environments using embedded Ising machines. [PDF]

Nat Commun
Kashimata T, Hamakawa Y, Yamasaki M, Tatsumura K.   +3 more
europepmc   +1 more source

Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions

Advanced Robotics Research, EarlyView.
Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor, Josephine T. Djirackor, Amanuel Abrdo Tereda, Sun Yi, Younho Seong   +4 more
wiley   +1 more source

Bio-Inspired Optimization in Soft Robot Design: Methods, Applications, and Future Directions. [PDF]

Biomimetics (Basel)
Sun Y, Lueth TC.
europepmc   +1 more source