Amid the rapid development of information communication technologies (ICTs), residents future smart cities are expected to be exposed unprecedented amounts real-time on a daily basis. The cognitive overload driven by an excess complex has become potential issue. Nonetheless, standardized systems still widely used, despite individual differences in intake. To set foundation for intelligent cities, this paper introduces methods and tools cognition-driven, personalized system, which...

Robot-based assembly in construction has emerged as a promising solution to address numerous challenges such increasing costs, labor shortages, and the demand for safe efficient processes. One of main obstacles realizing full potential these robotic systems is need effective sequence planning tasks. Current approaches, including mathematical heuristic techniques or machine learning methods, face limitations their adaptability scalability dynamic environments. To expand current robot system’s...

Abstract In the realm of robotics and automation, robot teleoperation, which facilitates human–machine interaction in distant or hazardous settings, has surged significance. A persistent issue this domain is delays between command issuance action execution, causing negative repercussions on operator situational awareness, performance, cognitive load. These delays, particularly long-distance operations, are difficult to mitigate even with most advanced computing advancements. Current...

The teleoperation of robotic arms is expected to play a key role in dangerous or inaccessible construction workplaces. Most robot rely on mechanical designs that are completely different from human arms. It could lead risk certain joints move with undesired poses and cause collisions because the mismatch between design operators' egocentric perception their own This paper proposes an innovative control method mimics shoulder-arm structure, enabling operators teleoperate unfamiliar...

Robotic teleoperation has shown great potentials in various construction applications. With the advancements of virtual telepresence and motion capture technologies, bilateral been tested precision operations, where a human operator can drive remote robot with their natural body motions. A significant challenge is that because mismatch between mechanic design body, such as different number joints robotic arm arm, recovered motions driven by hand may not be desired, leading to unintended...

Robot-assisted assembly has shown great potential in modular construction for the future. However, as complexity of prefabricated structural modules increases, likelihood unexpected robotic collisions also rises, such between robots and during process. Most collision avoidance methods rely on known robot specifications, especially work envelope, that is, range profiles movement created by a arm moving forward, backward, up, down. In contrast, it is unknown what models will be applied future...

Background In Physical Human–Robot Interaction (pHRI), the need to learn robot’s motor-control dynamics is associated with increased cognitive load. Eye-tracking metrics can help understand of fluctuating mental workload over course learning. Objective The aim this study was test eye-tracking measures’ sensitivity and reliability variations in task difficulty, as well their performance-prediction capability, physical human–robot collaboration tasks involving an industrial robot for object...

As robot teleoperation increasingly becomes integral in executing tasks distant, hazardous, or inaccessible environments, operational delays remain a significant obstacle. These delays, inherent signal transmission and processing, adversely affect operator performance, particularly requiring precision timeliness. While current research has made strides mitigating these through advanced control strategies training methods, crucial gap persists understanding the neurofunctional impacts of...

The findings of this paper enhance the knowledge machine learning in tactile texture recognition. Synthetic perception textures was achieved using a recently developed miniaturized multi-modal sensor. Thirteen commonly used were dynamically explored and classified supervised classifiers. best result by Extra Trees classifier with an average accuracy score 95%. Other classifiers also had high-performance results 92% (Random Forest), 91% (Support-Vector Machines), 88% (Multilayer Perceptron)....

A new approach to the in-hand manipulation problem, using fuzzy controlled teleoperation and a recently proposed multimodal tactile sensor are presented in this article. Real-time grasping experiments were performed by gripper, with compliant mounted on gripper. As for robot dexterity, teleoperated thumb object rotation while gripper maintained stable grasping. The data from consistent and, thus, provided substantial tool control algorithms.

This paper presents a new design of tactile-enabled open-source tendon driven robotic hand. The upgraded hand, so-called `Ring Ada,' comprises 3D-printed `rings' used to better control the compliant fingers. Experiments were conducted enhance postural synergy-based teleoperated grasping using multi-finger hand and haptic-feedback data glove for remote human operators.

Amid the rapid development of robotic technologies and artificial intelligence, Human Robot Collaboration (HRC) has gained momentum in a variety civil engineering applications. However, with robots only obeying redefined algorithms without human-like there not been widely accepted method that enables complete integration human robot team knowledge-and-experience-based tasks, such as building inspection. To enhance efficiency inspection deeper insight must be into advantages limitations...