In the context of the rapid development of intelligent robot interaction technology, traditional remote-control methods have problems such as complex operation and poor interactivity. This study proposes a gesture-controlled Mecanum wheel car design based on the Mediapipe framework. Mediapipe is used...

With the acceleration of aging societies and the growing demand for health monitoring, wireless perception-based vital sign monitoring has become a research hotspot in various fields. Traditional contact devices have problems such as poor comfort and privacy leakage risks, while wireless sensing technology...

In recent years, with the development of technology, gesture recognition technology based on Wi-Fi Channel State Information (CSI) has received widespread attention. This technology can realize non-contact, wireless perception recognition of gesture movements, and has many advantages such as high precision,...

With the rapid development and continuous progress of wireless communication technology, the role played by wireless perception technology in the field of behavior and gesture recognition has become increasingly important and prominent. Therefore, this paper summarizes several current behavior and attitude...

With the development of human-computer interaction, virtual reality, and other fields, the importance of human posture estimation technology is becoming increasingly prominent. Traditional optical methods are limited by light, occlusion, and privacy issues, whereas wireless sensing techniques have become...

With the increasing incidence rate of breast cancer, early screening and diagnosis are of great significance for improving the survival rate and prognosis of patients. Photoacoustic imaging technology is an emerging non-invasive and radiation-free biomedical imaging technique. The combination of the...

With the rapid development of 5G and IoT technologies, contactless human-machine interaction technology has ushered in significant opportunities. WiFi Channel State Information (CSI) serves as an emerging wireless sensing method, enabling precise gesture recognition without the need for additional hardware...

The fast advancement of robot technology in recent years has drawn a lot of attention to path planning algorithms in dynamic situations. The classic A* path planning algorithm faces numerous hurdles because of its limited adaptation in dynamic contexts. These challenges include poor real-time performance,...

The study of vehicle dynamics-based traction control is the main topic of this work. Given the growth in the number of automobiles, driving safety has drawn significant attention, and the Traction Control System (TCS) is crucial for enhancing the active safety performance of vehicles. The paper first...

With the continuous expansion of application scenarios for service robots, person-following technology has become a key capability for enabling human-robot interaction and intelligent control. This paper focuses on a multi-sensor fusion-based person-following system and systematically reviews its core...

This study addresses unmet logistics demands in semi-structured environments such as residential communities, industrial parks, and hospitals, where conventional systems lack adaptability. These settings feature large footprints, access control barriers, and time-sensitive, low-capacity delivery requirements....

This study comprehensively examines the technological evolution of industrial robotic arms from the 1980s to 2025, analyzing key advancements in drive mechanisms, control systems, and human-robot interaction paradigms. Drive systems have progressed from bulky hydraulic actuators to high-efficiency servo...

This study focuses on the industry pain points of traditional mobile robot control methods, such as high operational thresholds and monotonous interaction experiences. It innovatively designs and implements a set of Mecanum wheel trolley control systems based on gesture recognition technology. The research...

With the development of automatic navigation technology, path planning algorithms play a vital role in mobile robots and intelligent transportation systems. Although the traditional A* algorithm is stable and efficient, the paths it generates often contain numerous turning points and lack smoothness,...

Path planning constitutes one of the fundamental technologies in robotic navigation. Focusing on the operational environment of wheel-legged lunar rovers on the actual lunar surface, this paper proposes and establishes a novel integrated planning methodology based on fuzzy control theory and ant colony...

With the acceleration of urbanization, the quantity of tall buildings is increasing. The problem of cleaning is becoming more serious than before, so some traditional methods are less likely to be useful. As a result, window cleaning has become an essential section of the maintenance of homes and commercial...

This study addresses short-term traffic speed prediction for urban road networks, a critical component of intelligent transportation systems for easing congestion, optimizing traffic signal control, and improving travel efficiency. Using real-world traffic speed data, the performance of a Long Short-Term...

With the rapid growth of artificial intelligence and deep learning, traditional computing architectures face limitations in efficiency and scalability. This paper explores Google’s Tensor Processing Unit (TPU) to understand how specialized hardware accelerates AI workloads and drives next-generation...

In the era of rapid advancements in artificial intelligence (AI) and deep learning, the choice of hardware processors plays a critical role in determining the efficiency of model training and inference. This paper talks about the two leading processors: the general purposed Graphics Processing Unit (GPU)...

Over the past decade, transformer models have ballooned from 110 M to 540 B parameters, rendering Central Processing Unit (CPU)/Graphics Processing Unit (GPU) baselines infeasible for both training and latency-critical inference. Google’s Tensor Processing Unit (TPU) program—spanning four silicon generations...

Against the backdrop of intensifying global climate change and energy crises, the energy transition in the transportation sector has become a global focus. Automotive power system technologies are evolving along diversified pathways, with traditional internal combustion engine vehicles, pure electric...