Results 81 to 90 of about 101,086 (306)

Turbocharging Treewidth Heuristics [PDF]

open access: yesAlgorithmica, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Serge Gaspers   +4 more
openaire   +3 more sources

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced 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

Improved Best Fit Heuristics for Offline Not Oriented Two-dimensional Rectangular Strip Packing Problem [PDF]

open access: yesThe Egyptian International Journal of Engineering Sciences and Technology
Cutting and Packing problems have been recognized as a sub-discipline of operation research for more than half a century. Such problems are involved in a range of circumstances such as pallet loading, wood or glass cutting, strip packing, and positioning
Asmaa adly   +3 more
doaj   +1 more source

Useful Heuristics

open access: yes, 2009
Decision-making is one of the core tasks in project management. Traditionally, optimization methods have been developed to support managers in finding the best solutions. Alternatively, decisions can be based on simple rules of thumb, or heuristics. Even though simple heuristics only require little in the way of time and information, they have been ...
Scheibehenne, Benjamin   +1 more
openaire   +5 more sources

Auto‐Routing Fluidic Printed Circuit Boards

open access: yesAdvanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre   +3 more
wiley   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced 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

Heuristics: The good, the bad, and the biased. What value can bias have for decision makers?

open access: yes, 2016
This discussion paper will look at heuristics (rule of thumb techniques for decision making), (Tversky & Kahneman, 1974) and their potential value. Typically, heuristics have been viewed negatively (Gigerenzer & Goldstein, 1996), with research suggesting
Murray, Jennifer   +5 more
core  

Offline Learning for Sequence-based Selection Hyper-heuristics

open access: yes, 2021
This thesis is concerned with finding solutions to discrete NP-hard problems. Such problems occur in a wide range of real-world applications, such as bin packing, industrial flow shop problems, determining Boolean satisfiability, the traveling salesman ...
W Yates (21866708)
core  

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced 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

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