Results 61 to 70 of about 23,926 (271)
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
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
Recognition-based judgments and decisions: Introduction to the special issue (II) [PDF]
Introduction to the second part of an extended special issue.
Julian N. Marewski +2 more
doaj
Recognition-Based and Familiarity-Based Portfolio Strategies - An Experimental Study [PDF]
Empirical evidences show that investors tend to be biased toward investing in domestic (home bias) and local (local bias) stocks. Familiarity is considered to be one of the reasons. A similar concept was proposed by Goldstein and Gigerenzer (1999, 2002),
Linan Diao
core
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
Domain independent goal recognition
Goal recognition is generally considered to follow plan recognition. The plan recognition problem is typically defined to be that of identifying which plan in a given library of plans is being executed, given a sequence of observed actions.
Pattison, D., Long, D.
core
This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level ...
Fung, C.C. +3 more
core +1 more source
The Applicability of Heuristic Methods in Emotion Recognition: The Onto-Epistemological Aspect [PDF]
The applicability of heuristic methods in the recognition of emotions is considered. In order to understand what makes methods heuristic, the author proposes to consider both the ontological and epistemological status of heuristic methods in the ...
Карташева, А. А. +1 more
core
The Good, the Bad and the Ugly: Droplet Recognition by a “Shootout”-Heuristics
Abstract We explain how to optimize the image analysis of mixed clusters of red and green droplets in solvents with various degrees of sharpness, brightness, contrast and density. The circular Hough Transform is highly efficient for separated circles with reasonable background contrast, but not for large amounts of partially ...
Hans-Georg Matuttis +6 more
openaire +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
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
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

