Results 71 to 80 of about 118,983 (259)
Evolving Cognitive Architectures
CoRRThis article proposes a research and development direction that would lead to the creation of next-generation intelligent technical systems. A distinctive feature of these systems is their ability to undergo evolutionary change. Cognitive architectures are now one of the most promising ways to create Artificial General Intelligence systems.
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Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots
Advanced Robotics Research, EarlyView.Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
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Frontiers in Artificial IntelligenceLayered intelligence theory (LIT) specifies eight design principles for what its author terms a Deeply AI—a cognitive architecture whose parameters and surrounding structure jointly instantiate the preconditions for reorganisation, reflection, and ...
Richard Dobson
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The neural cognitive architecture [PDF]
, 2017 The development of a cognitive architecture based on neurons is currently viable. An initial architecture is proposed, and is based around a slow serial system, and a fast parallel system, with additional subsystems for behaviours such as sensing, action and language.
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Advanced Robotics Research, EarlyView.Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
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Applied SciencesLarge Language Models (LLMs) and Vision-Language Models (VLMs) have the potential to significantly advance the development and application of cognitive architectures for human–robot interaction (HRI) to enable social robots with enhanced cognitive ...
Thomas Sievers, Nele Russwinkel
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Advanced Robotics Research, EarlyView.This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
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Cognitive Control Units in Smart Manufacturing: Insights From a Soar-Based Assistance System
IEEE AccessThe growing complexity of industrial assembly processes calls for innovative, user-centered solutions, and in recent years, the adoption of assistive systems to support manual assembly tasks has attracted increasing attention.
Stefan-Alexandru Precup +3 more
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Teaching semantics and skills for human-robot collaboration
Paladyn, 2019 Recent advances in robotics allow for collaboration between humans and machines in performing tasks at home or in industrial settings without harming the life of the user. While humans can easily adapt to each other and work in team, it is not as trivial
Angleraud Alexandre +2 more
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Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
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