Active visual perception enables an intelligent system to improve perception by controlling how visual evidence is acquired. However, differences in how studies define active perception and evaluate its benefits make approaches difficult to compare a...
High-throughput plant phenotyping (HTPP) is increasingly limited by the mismatch between the need for field-relevant, fine-grained phenotypic information and the restricted capability of conventional observation platforms under complex agricultural c...
We introduce the MERI (Market Evolutionary Resilience Index), a cognitive big data framework operationalising jamming transition physics into a daily operational regime detector (low-latency inference, 8 ms per observation). Opaque models cannot be d...
Robotic agents are spreading, incarnated as embodied entities, exploring the tangible world and interacting with us, or as virtual agents crawling over the web, parsing and generating data. In both cases, they require: (i) processes to acquire inform...
The perception–affordance–action loop constitutes a fundamental framework for enabling advanced capabilities in semi-autonomous and autonomous robots. By allowing for robots to perceive their environment, interpret actionable possibilitie...
The working hypothesis in this project is that gaze interactions play a central role in structuring the joint control and guidance strategy of the human operator performing spatial tasks. Perceptual guidance and control is the idea that the visual an...
With the rapid expansion of modern facility agriculture, harvesting robots for tomato (Solanum lycopersicum L.) and other solanaceous fruits have become key equipment for alleviating labor shortages. However, in unstructured greenhouse and open-field...
Safety signs in innovative manufacturing environments fail to match dynamic risks due to the separation of perception, semantics, and decision-making. Existing methods lack closed-loop integration of IoT sensor streams, knowledge graph reasoning, and...
To address the bottleneck of technologically advanced but cognitively limited smart buildings, this paper introduces embodied intelligence to reconstruct the intelligent paradigm of architectural space. It defines embodied intelligent space and devel...
The global food system faces three converging pressures. Foodborne diseases affect an estimated 600 million people each year. Post-harvest losses and waste exceed 30% of total production. Food systems also generate roughly one-quarter to one-third of...
Service robotics involves the design of robots that work in a dynamic and very open environment, usually shared with people. In this scenario, it is very difficult for decision-making processes to be completely closed at design time, and it is necess...
Accurate root localization and precision cutting are essential for mechanized cabbage harvesting, yet reliable linkage between perception and cutting remains difficult under field conditions. This review synthesized recent advances in cabbage root/st...
This study introduces the Perception Latency Mitigation Network (PLM-Net), a modular deep learning framework designed to mitigate perception latency in vision-based imitation-learning lane-keeping systems. Perception latency, defined as the delay bet...
In post-disaster search and rescue (SAR) operations, unmanned aerial vehicles (UAVs) are essential tools, yet the large volume of raw visual data often overwhelms human operators by providing isolated, context-free information. This paper presents an...
Autonomous systems developed with the Belief-Desire-Intention (BDI) architecture tend to be mostly implemented in simulated environments. In this project we sought to build a BDI agent for use in the real world for campus mail delivery in the tunnel...
A reactive agent operating in a complex environment must classify its perceived state and select an action under uncertainty. This uncertainty may arise from sensor noise, ambiguous perceptual configurations, or the limited separability of the action...
To solve the problems of path planning and dynamic obstacle avoidance for an unmanned surface vehicle (USV) in a locally observable non-dynamic ocean environment, a visual perception and decision-making method based on deep reinforcement learning is...
Vision–Language–Action (VLA) models aim to unify perception, language grounding, and robot control, yet recent progress in robotic manipulation remains difficult to compare because systems differ widely in observation modalities, action interfaces, e...
Differences in sensorimotor integration mechanisms have been observed between people who stutter (PWS) and controls who do not. Delayed auditory feedback (DAF) introduces timing discrepancies between perception and action, disrupting sequence product...
This paper proposes a human–system coupling framework for understanding interactive environments in which embodied human activity is continuously translated into perceptual feedback through computational systems. Rather than conceptualizing int...
Triboelectric interfaces are progressing beyond self-powered sensing toward integrated sensory systems capable of encoding, retaining, transforming, and responding to mechanical information. Yet, the rapid convergence of triboelectric transduction wi...
Overtaking planning and decision-making are central to performance in autonomous racing. Limited maneuvering space on narrow closed circuits makes high-speed overtaking difficult and increases the risk of failed overtaking attempts and collisions. To...
Deployable autonomy remains a key challenge for unmanned aerial vehicles (UAVs) operating in open-ended missions. Large language models (LLMs) and their multimodal variants, which can process visual and other sensory inputs, have introduced new capab...
Sustainability education increasingly centers on systems and design thinking to address complex socio-environmental challenges. While these approaches enhance reflexivity, interdisciplinarity, and problem-solving capacity, this paper argues that they...
Two broad features are jointly necessary for autonomous agency: organisational closure and the embodiment of an objective-function providing a ‘goal’: so far only organisms demonstrate both. Organisational closure has been studied (mostly...
This study examined affordance perception for soccer dribbling using a mixed-methods approach in male grassroots soccer players. We examined how children construct and perceive skills practices for dribbling in soccer. Fourteen boys aged 10–11 years...
The aim of this paper is to enhance understanding of factors that undermine sustainable management of renewable resources by identifying and analyzing the main drivers and dynamics involved, with a focus on the role of corruption perceptions and its...
Multi-agent perception systems must operate under fundamental asymmetries: some agents provide fast but unreliable observations, while others deliver higher-quality evidence with delay and uncertain correspondence. Traditional deterministic orchestra...
Accurate, timely, and resource-efficient decision-making is critical for sustainable precision agriculture. This paper proposes an agentic AI-based Internet of Things (IoT) framework that enables coordinated, closed-loop perception–decision&nda...
Modern power grids require safer and more reliable field operations, yet conventional robots often face limitations in unstructured environments because of rigid pre-programming and weak perception–action coupling. This review examines Embodied...
Orchard variable-rate spraying increasingly depends on the coordinated conversion of heterogeneous perception outputs into spatially and temporally matched actuator commands, yet the evidence linking sensing improvements to measurable spray-performan...
Rapid advancements in foundation models, including Large Language Models, Vision-Language Models, Multimodal Large Language Models, and Vision-Language-Action models, have opened new avenues for embodied AI in mobile service robotics. By combining fo...
Generative Artificial Intelligence (GenAI)-assisted Virtual Reality (VR) heritage serious game design constitutes a complex adaptive socio-technical system in which natural language prompts act as control levers shaping designers’ cognition and...
Unmanned Aerial Vehicle (UAV), particularly rotary-wing platforms such as quadcopters and octocopters, has evolved from controlled remote sensing platforms into autonomous agents capable of active task execution. This evolution from collect-then-anal...
In structured orchard environments, harvesting robots operate where rigid bodies (e.g., trunks, poles, and wires) coexist with flexible foliage. Strict avoidance of all obstacles significantly compromises operational efficiency. To address this, this...
Traditional inspection and diagnosis methods for civil infrastructure operation and maintenance (CI O&M) rely heavily on human efforts. Such efforts are always affected by subjective judgment and human errors due to engineering knowledge and prio...
The perception of 3D space by mobile robots is rapidly moving from flat metric grid representations to hybrid metric-semantic graphs built from human-interpretable concepts. While most approaches first build metric maps and then add semantic layers,...
This study develops biomimetic strategies for slip prevention in prosthetic hand grasps. The biomimetic system is driven by a novel slip sensor, followed by slip perception and preventive control. Here, we show that biologically inspired sensorimotor...
24 January 2023
This study identifies the most relevant causes of food waste according to the perceptions of key stakeholders in Cluj-Napoca, Romania. Community-Based System Dynamics (CBSD), a qualitative approach, was used to reveal the determinants of food waste....
Pan–tilt–zoom (PTZ) cameras are central to visual counter-UAV surveillance: they steer the optical axis to keep a small, agile target centered and adequately resolved, which tightly couples perception with camera control in a closed loop....
Active inference provides a unified framework for perception and action as processes of minimizing prediction error given a generative model of the environment. Whilst standard formulations assume continuous inference and control, empirical evidence...
Traditional Agent-based Models (ABMs) often struggle to capture the nuance of adaptive human decision-making during complex crises due to their reliance on static, predefined rules. Large Language Models (LLMs) offer a transformative solution by acti...
Optimal operation of hydropower plants (HP) is a crucial task for the control of several variables involved in the power generation process, including hydraulic level and power generation rate. In general, there are three main problems that an optima...
Sweet pepper is a high-value crop in protected horticulture whose robotic harvesting is complicated by canopy occlusion, asynchronous ripening, the need for precise peduncle cutting, and stringent damage limits. This review presents a systematic sear...
As unmanned aerial vehicle (UAV) systems evolve from automated execution toward autonomous decision-making, multirotor UAVs increasingly face complex dynamics, uncertain sensing conditions, and task-level autonomy demands. Reinforcement learning (RL)...
26 May 2026
In interactive digital commerce environments, negative electronic word-of-mouth (NeWOM)—particularly negative online reviews—profoundly shapes consumer perceptions and brand relationships. Yet, the underlying mechanisms through which NeWO...
The integration of digital twin technology with robotic automation holds significant promise for advancing sustainable horticulture in controlled environment agriculture. This article presents DigiHortiRobot, a novel AI-driven digital twin architectu...
Peri-urban interfaces tend to ensure water supply relying on their surrounding’ resources, generating water disputes when asking for collaboration. The urban-rural matrix of the Marina Baja county in southern Spain is characterized by inland ir...
Human interaction with the environment depends on the integration of sensory input, cognitive processing, and motor output within dynamic sensorimotor loops. These processes are supported by distributed neural circuits and shaped by learning, memory,...
Elevator fault diagnosis heavily relies on high-precision sensing of microscopic physical states. Although Micro-Electro-Mechanical System (MEMS) sensors can capture such subtle features, they are constrained by high-frequency data streams, environme...
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