Artificial Life and Robotics

Honey bees (Apis mellifera L.) are social insects that makes frequent use of volatile pheromone signals to collectively navigate unpredictable and unknown environments. Ants have been shown to effectively use pheromone trails to find the shortest ...

The world is filled with various scales of particles from subatomic to astronomical stars (nebulosity), while each type of particle will be flexible and deform time-dependently. Some previous researches based on stochastic momentum equation ...

We propose a class of generalized multiplicative stochastic processes obtained by introducing an endo-perspective into one-dimensional maps with additive noise. We define an internal state for the noisy dynamics of a given one-dimensional map and ...

We focus on the distances in flow direction and its vertical direction on three fish school arrangements, and correlate the fish school in uniform flow with fluid forces which can be divided into two components, drag and thrust, by three-...

With the improvements in AI technology and sensor performance, research on automated driving has become increasingly popular. However, most studies are based on human driving styles. In this study, we consider an environment in which only ...

Restrictions on outdoor activities are required to suppress the COVID-19 pandemic. To monitor social risks and control the pandemic through sustainable restrictions, we focus on the relationship between the number of people going out and the ...

In this study, we focus on the navigation of a robotic swarm and perform an experimental investigation. A decentralized control method using only local information has been proposed in many previous studies. However, because global coordinates are ...

Wikipedia, an example of a collective knowledge space, improves the quality of its editors and articles in a self-organized manner. To measure the quality of the editors and articles on Wikipedia, self-consistent metrics for the network defined by ...

Swarm robotics (SR) is a research field about how to design a large number of robots so that they can generate meaningful collective behaviors. One of the promising approaches in designing a control policy is reinforcement learning (RL). However, ...

Recently, various types of autonomous robots have been expected in many fields such as a disaster site, forest, and so on. The autonomous robots are assumed to be utilized in unknown environments. In such environments, a path planning to a target ...

Pig weights are important indicator for the healthcare and the economic operation of pig farms, and the development of a system to easily estimate these weights is desired. Although load cells are usually used for actual measurement in pig farms, ...

In this paper, we focus on the development of a soft continuum arm manipulator inspired by the morphology of octopi and their intelligent behavior. The proposed arm is mainly composed of soft silicone rubber material, offering high levels of arm ...

In recent years, the transformer achieved remarkable results in computer vision related tasks, matching, or even surpassing those of convolutional neural networks (CNN). However, unlike CNNs, those vision transformers lack strong inductive biases ...

We propose an approach to guide simple robots through arbitrary environments while engaged in a planar construction task. The intent is to mitigate spatial interference between robots which often occurs in distributed robots operating on the same ...

Multi-instance object tracking is an active research problem in computer vision, where most novel methods analyze and locate targets on videos taken from static camera set-ups, just as many existing monitoring systems worldwide. These have proved ...${}^{\mathrm{}}$${}_{\mathrm{}}$

Embodied evolution is an evolutionary robotics approach that implements an evolutionary algorithm over a population of robots and evolves while the robots perform their tasks. So far, most studies on embodied evolution utilize relatively simple ...

Multimodal learning of motion and text tries to find the correspondence between skeletal time-series data acquired by motion capture and the text that describes the motion. In this field, good associations can realize both motion-to-text and text-...

Decision making is an essential component of autonomous vehicle technology and received significant attention from academic and industry organizations. One of the promising approaches in designing a decision-making method is Reinforcement Learning ...

While e-learning lectures allow students to learn at their own pace, it is difficult to manage students’ concentration, which prevents them from receiving valuable information from lectures. Therefore, we propose a method for detecting student ...

Fishermen need to remove abnormal or dead fish for the prevention of viral infection. However, the identification of diseased fish is more ambiguous that the identification of dead ones, and detecting abnormal fish is hard even for experienced ...

This paper focuses on surrogate-assisted genetic programming (SAGP), an efficient evolutionary program optimization approach based on the surrogate estimation of the fitness value. In particular, we use a genotype-based SAGP (G-SAGP), which uses ...$$$$$$

The authors are studying an insect-type microrobot using Micro-Electro-Mechanical Systems (MEMS) technology. The microrobot actuates by electrostatic motors that use electrostatic forces between electrodes. In the previous study, the waveform ...

The aging population and expectations for nursing care robots increased significantly recently. We focused on mobile assistive robots. When various types of robots introduced into nursing homes, they should be assigned appropriately to fulfill the ...

This study considers an autonomous mobile vehicle using SLAM technology in an unknown environment. The focused problem is the decrease of trajectory following accuracy due to the decline of SLAM accuracy in an environment with insufficient ...

To achieve automatic transportation between factories, we make an automatic driving system based on fusion method and state machine that moves the car with a fixed route. Based on the GPS algorithm, we optimize the positioning algorithm by ...

Heart rate variability (HRV) is an indicator of changes in the interval between successive R-waves on the electrocardiogram (ECG), known as R–R intervals (RRI), caused by autonomic nervous system activity. Measurement of RRI is useful in detecting ...

In this paper, using image processing and distance measurement, we develop a control system for automatic grasping and obstacle avoidance by a mobile robot. First, the mobile robot searches an object by turning until it is captured in camera ...

Urban roads are one of the most complicated applications in autonomous driving. The main bottleneck lies in perception and decision-making algorithms. In this work, we propose a new learning-based autonomous driving system, including a novel ...

This paper describes the design and performance evaluation of a flexible wearable haptic device that aims to realize full kinesthetic haptic feedback for application in robot-assisted surgery (RAS). Contrary to the existing practice, where the ...$\mathrm{}$$\mathrm{}$$\mathrm{}$$\mathrm{}$

To develop a method by which a dual-arm robot can simulate collision avoidance while replicating motions of a laboratory biologist.

Using a kinematic robot model with constraints between the joint arms, the robot arm trajectory is ...