Results 91 to 100 of about 65,702 (300)
Mathematics(1) Background: This work focuses on improving the efficiency of warehouse operations with the goal of promoting efficiency in the logistics industry and mitigating logistics-related labor shortages.
Daiki Ueno, Enna Hirata
doaj +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Order batching in multi-server pick-and-sort warehouses. [PDF]
In many warehouses, customer orders are batched to profit from a reduction in the order picking effort. This reduction has to be offset against an increase in sorting effort.
Van Nieuwenhuyse, Inneke +2 more
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Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots
Advanced Robotics Research, EarlyView.This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li +4 more
wiley +1 more source
A Grouping Genetic Algorithm for the Order Batching Problem in Distribution Warehouses [PDF]
Order picking is a warehouse function that deals with the retrieval of articles from their storage locations in order to satisfy certain customer demands. Combining several single customer orders into one (more substantial) picking order can increase the
Sören Koch, Gerhard Wäscher
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Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Applying Particle Swarm Optimization to Schedule Order Picking Routes in a Distribution Center [PDF]
, 2009 [[abstract]]The performance of a distribution center is typically judged on throughput-based criteria. Order picking consumes 30% to 40% of operation time in a typical distribution center.
CHIEN-LIN HUANG;CHAO-JUNG HUANG;LING-FENG HSIEH
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Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
Advanced Robotics Research, EarlyView.In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
Lean implementation case study for manual order picking and packing in warehousing operations [PDF]
Purpose: This study analyses the application of lean thinking in warehousing operations’ picking and packing processes. Methodology: The research design used is a conceptual framework based on the literature for lean practitioners’ guidance.
Garza-Reyes, J. +5 more
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