In the near future, autonomous vehicles will be able to share information with other vehicles via communication, enabling appropriate traffic control approaches. A new approach to traffic control using fully autonomous driving involves the …

Character-level convolutional neural networks (CLCNNs) are commonly used to classify textual data. CLCNN is used as a more versatile tool. For natural language recognition, after decomposing a sentence into character units, each unit is converted …

In recent years, many studies have used Convolutional Neural Networks (CNN) as an approach to automate bin picking tasks by robots. In these previous studies, all types of objects in a bin were used as training data to optimize CNN parameters.

This paper proposes a simple method based on a novel use of elitism to increase the population size of artificial creatures while minimizing evaluation cost. This can contribute to preventing premature convergence of the population. We propose the …

This paper describes a three-dimensional (3D) modeling method for sequentially and spatially understanding situations in unknown environments from an image sequence acquired from a camera. The proposed method chronologically divides the image …

Gait planning is one of the main focuses in the research field of bipedal robotics. To enhance the stability and simplicity of gait planning for bipedal robots using central pattern generator (CPG) methods, this paper first refines the existing …

In this study, we developed a rimless wheel robot with elastic telescopic legs that can overcome steps. Numerical studies have shown that a rimless wheel robot with elastic telescopic legs has high adaptability to steps. However, rimless wheel …

Individuals exhibit two types of responses when exposed to external stimuli. These are called stress-coping responses, or active and passive coping responses, respectively. These stress-coping responses are discriminated by differences in the …

We attempted to construct a digital twin of Kobe City center, from the aspect of pedestrian traffic simulation. Policy evaluation was conducted using traffic demand based on mobile phone population statistics provided by NTT DOCOMO, INC. …

In this study, we analysed the novel coronavirus disease (COVID-19) cases data to investigate the regional infection trends in Japan. There had been seven outbreaks by October 2022 in Japan. In each outbreak, the number of COVID-19 cases has …

In this paper, to render SLAM robust in dynamic environments, we propose a novel LiDAR SLAM algorithm that estimates the velocity of all objects in the scene while suppressing speed of static objects by moving horizon estimation (MHE). We …

Proportional–integral–derivative (PID) control systems are typically used in power plants owing to their simple structure and ease of implementation. During industrial power generation, binary power plants using low-grade thermal energy sources …

Most conventional biped robots process leg movements and information from each sensor by numerical calculation using a CPU. However, to cope with diverse environments, the numerical calculations are enormous, so they must be processed at high …

Capillary refill time (CRT) is an internationally accepted indicator of peripheral circulation. The CRT is measured by applying compression to the fingernail for a few seconds, releasing it, and observing the process of refilling of blood at the …

This study explores the influence of material selection scenarios on the evolutionary design of soft robots. Soft robots have vast potential applications that rigid robots cannot accomplish due to their lightweight and flexible nature. Despite …

In randomized clinical trials, we assumed the situation that the new treatment is not adequate compared to the control treatment as a result. However, it is unknown if the new treatment is ineffective for all patients or if it is effective for …

In vehicles with active suspensions, if handling stability is improved strongly by using a LQ controller for a road surface such as large bumps, ride comfort may deteriorate even for a road surface such as not so large bumps. Recently, to avoid …

The authors have been studying robots equipped with pulse-type hardware neuron models (P-HNMs) that mimic biological neurons. In a previous study, we developed a quadruped robot system mounting P-HNMs. The authors confirmed the generation of …

Reinforcement learning (RL) is a learning method that learns actions based on trial and error. Recently, multi-objective reinforcement learning (MORL) and safe reinforcement learning (SafeRL) have been studied. The objective of conventional RL is …