Results 71 to 80 of about 45,458 (300)

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

open access: yesAdvanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu   +7 more
wiley   +1 more source

Polynomial Path Orders [PDF]

open access: yesLogical Methods in Computer Science, 2013
This paper is concerned with the complexity analysis of constructor term rewrite systems and its ramification in implicit computational complexity. We introduce a path order with multiset status, the polynomial path order POP*, that is applicable in two ...
Martin Avanzini, Georg Moser
doaj   +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

Semantics and Algorithms for Parametric Monitoring [PDF]

open access: yesLogical Methods in Computer Science, 2012
Analysis of execution traces plays a fundamental role in many program analysis approaches, such as runtime verification, testing, monitoring, and specification mining.
Grigore Rosu, Feng Chen
doaj   +1 more source

Portfolio Methods for Optimal Planning: an Empirical Analysis [PDF]

open access: yes, 2015
Combining the complementary strengths of several algorithms through portfolio approaches has been demonstrated to be effective in solving a wide range of AI problems. Notably, portfolio techniques have been prominently applied to suboptimal (satisficing)
Gerevini, Alfonso E.   +11 more
core   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi   +2 more
wiley   +1 more source

MegaM@Rt2 Project: Mega-Modelling at Runtime - Intermediate Results and Research Challenges

open access: yes, 2019
International audienceMegaM@Rt 2 Project is a major European effort towards the model-driven engineering of complex Cyber-Physical systems combined with runtime analysis.
Gómez, A.,   +32 more
core   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

Data-Driven Assessment of Air-Conditioning System Sizing Using Runtime and Indoor Humidity Performance [PDF]

open access: yesE3S Web of Conferences
. Proper sizing of residential Heating, Ventilation, and Air-Conditioning (HVAC) systems is fundamental to achieving both energy efficiency and Indoor Air Quality (IAQ).
Chae Myeongwon   +2 more
doaj   +1 more source

Impact of linear dimensionality reduction methods on the performance of anomaly detection algorithms in hyperspectral images [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2015
Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis. The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background.
Mohsen Zare-Baghbidi   +3 more
doaj   +1 more source

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