e-ASIA Joint Research Program: development of an international collaborative informational system for emergency situations management of flood and land slide disaster areas
- Evgeni Magid,
- Fumitoshi Matsuno,
- Jackrit Suthakorn,
- Mikhail Svinin,
- Yang Bai,
- Tatyana Tsoy,
- Ramil Safin,
- Roman Lavrenov,
- Aufar Zakiev,
- Hiroaki Nakanishi,
- Michinori Hatayama,
- Takahiro Endo
The project "Informational system for management of flood and land slide disaster areas using a distributed heterogeneous robotic team" was initialized within international e-ASIA Joint Research Program and gathered research teams from Japan, ...
Automatic robot design inspired by evolution of vertebrates
This paper proposes a novel method to design a robot by simultaneously improving its morphology and controller. The number of rigid parts of the robot and the layout of joints connecting them are represented by a rooted tree, which is called a ...
Information transport in communication limited swarms
Users and operators of swarms will, in the future, need to monitor the operations of swarms in a distributed way, without explicitly tracking every agent, and without the need for significant infrastructure or set up. Here we present a method for ...
Perception and recognition of a visual landmark on ant foraging
This paper introduces a visual landmark for Japanese wood ants. The landmark has different patterns when viewed from an observing angle. Individual foragers learnt a food position related to a pattern of the landmark. During the training phase, ...
A self-healing method for soft robots mimicking blood coagulation in creatures
This paper aims to develop a self-healing mechanism that can mimic the repair in creatures through blood-coagulation. When creatures are injured, blood platelets gather in the tear of skin to form a temporary seal to cover the break in the vessel ...
Largest coverage network in a robot swarm using reinforcement learning
Establishing a large adaptive connected network for decentralized swarms is useful for their behavior to share information about the working environment. A hard-coded implementation is time-consuming to achieve. Therefore, we are motivated to ...
An implementation of a Physarum polycephalum model on a swarm of non-holonomic robots
The slime mold Physarum polycephalum is renowned for its incredible perceived intelligence despite it being a unicellular organism devoid of a central nervous system. Some notable abilities of the true slime mold include exploring an area for food ...
Gel Biter: food texture discriminator based on physical reservoir computing with multiple soft materials
- Kosuke Hirose,
- Ikuma Sudo,
- Jun Ogawa,
- Yosuke Watanabe,
- M. D. Nahin Islam Shiblee,
- Ajit Khosla,
- Masaru Kawakami,
- Hidemitsu Furukawa
The human oral structure contains organs with distinctly different physical properties, such as teeth, gums, and tongues. When food enters the oral cavity, we can recognize the tactile sensation and shape of the object from multiple perspectives ...
Posture control of tensegrity manipulator based on kinematic model using kernel ridge regression
Biological bodies have numerous redundant soft muscles. In our laboratory, we pursue both the softness and redundancy of biological bodies in robots. We propose the suitability of the “tensegrity” structure for enhancing softness and redundancy in ...
Analytical and simulational approaches to the relation between the stock market liquidity and the traders’ utility
In stock markets, it is often argued that increased liquidity contributes to the public benefit of the market as a whole, but it is not self-evident. In this study, we analyze the impact of increasing market liquidity on traders’ utility ...
Development of a behavioral trajectory measurement system (Bucket-ANTAM) for organisms moving in a two-dimensional plane
In this study, we describe the development of a behavioral trajectory measurement system called Bucket-ANTAM to measure the behavior of organisms when moving on a two-dimensional plane. The Bucket-ANTAM system detects the center-of-gravity ...
Walking experiments of small and lightweight rimless wheel robot
In this study, we show how to build and test a novel rimless wheel robot. We investigated rimless wheel robots, which consist of a rimless wheel and a torso. We needed a rimless wheel robot that can be developed quickly and easily and is easy to ...
Guidance by multiple sheepdogs including abnormalities
In this paper, we propose a method for efficiently guiding a large flock of sheep agents through the cooperation of multiple sheepdog agents even in the presence of anomalies, and verify its performance in computer experiments. In particular, this ...
Analysis of trade-off between network connectivity robustness versus coverage area of networked multi-robot system
This paper analyzes the relationship between connectivity robustification and coverage control of multi-robot systems. A coverage control is a cooperative task of the system to cover a given area by sensors equipped by the robots, and it requires ...
Modeling and experimental validation for ceiling wall effect on aerodynamic characteristics of a rotor
Small-scale rotorcraft, such as multi-rotor UAVs, is widely used for various purposes. In particular, aerial vehicles’ inspections of infrastructures such as bridges or tunnels are highly demanded. During inspection activities, aerial vehicles ...
Effect of interaction network structure in a response threshold model
Task allocation is a characteristic feature of social insects. This phenomenon is self-organized by workers in a colony without central instructions. Workers perform the necessary tasks while communicating and determining their colony’s local ...
Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach
This paper demonstrates to generate a collective behavior of a multi-legged robotic swarm based on the evolutionary robotics approach. Most studies in swarm robotics are conducted using mobile robots driven by wheels. This paper focuses on ...
Improving generative adversarial network with multiple generators by evolutionary algorithms
Generative Adversarial Network (GAN) is a novel class of deep generative models that has recently gained significant attention. However, the original GAN with one generator can easily get trapped into the mode collapsing problem, which could cause ...
Evaluation of turn alternation in pill bugs using omnidirectional motion compensator ANTAM
In this study, whether pill bugs produce turn alternation, i.e., the tendency to turn in the opposite direction of a preceding turn, under obstacle-free conditions was investigated by movement measurements using an omnidirectional motion ...
Beyond anthropomorphising robot motion and towards robot-specific motion: consideration of the potential of artist—dancers in research on robotic motion
The design of robot motion is one of the most important questions in social robotics as it underpins successful human–robot interaction. Human-inspired motion design based on anthropomorphic models, through which human motion features are ...
Development of a robust Wi-Fi/4G-based ROS communication platform for an assembly and repair mobile robot with reliable behavior under unstable network or connection failure
This paper presents various perspectives on designing and implementing a communication platform for a teleoperated mobile robot. The deployment of a communication network for a mobile robot and the integration of robot components in the developed ...
Ensemble method using real images, metadata and synthetic images for control of class imbalance in classification
Binary classification and anomaly detection face the problem of class imbalance in data sets. The contribution of this paper is to provide an ensemble model that improves image binary classification by reducing the class imbalance between the ...
Visualization and location estimation of defective parts of industrial products using convolutional autoencoder
The authors have been developing a design and training application with a user-friendly operation interface for CNN (Convolutional Neural Network), CAE (Convolutional Autoencoder) and SVM (Support Vector Machine), which can be used for the defect ...
A new active suspension control scheme for vehicles considering steering stability
In vehicles with active suspensions, by reducing the tire deflections, handling stability can be improved, and by reducing vertical acceleration of the vehicle body, ride comfort can be improved. In general, for hard road bumps, if handling ...
Lane change algorithm using rule-based control method based on look-ahead concept for the scenario when emergency vehicle approaching
When an emergency vehicle approaches form behind, the driver must change his/her lane to the left lane and pull over to gave way to the emergency vehicle. However, in most cases the abrupt lane change maneuver of the vehicles in front of the ...
Real-time obstacle detection in a darkroom using a monocular camera and a line laser
When a disaster strikes, one of the highest priorities is to save the lives of the victims. The proportion of victims that rescuers can save is strongly related to how quickly rescue efforts can begin. Therefore, early detection of disaster ...
URARAKA VI: multi-legged robot with suckers to climb walls and pipes
In our previous works, we focused on the advantages of a passive mechanism in realizing autonomous robots, and we developed a multi-legged robot that climbs unknown vertical walls with uneven surfaces. In this study, we improve on our previous ...
Development of a measurement system for gas-autonomous surface vehicle to map marine obstacles using stereo depth and LiDAR cameras
- Kenneth Gideon,
- Morito Makoto,
- Shun Fujii,
- Sotaro Ono,
- Julie Fromager,
- Sato Yu,
- Kouki Yoshimura,
- Junichiro Tahara
In this work, we developed a measurement system for the Gas-Autonomous Surface Vehicle (G-ASV), a successor to the micro-Autonomous Surface Vehicle (μ-ASV), to facilitate conducting ocean research. We included a Real-Time Kinematic Global ...
Model predictive control for mobile manipulators considering the mobility range and accuracy of each mechanism
A mobile manipulator is a hybrid of a wheeled vehicle and a robotic arm realizing large locomotion and handling operations that cover many robotic applications, including housework, cleaning, and construction. A mobile base generally achieves ...
Haptic shared control applied for ROV operation support in flowing water
Compact and economical remotely operated vehicles (ROVs) have become widely used worldwide. Nevertheless, it is not easy for inexperienced operators to control an ROV that moves while influenced by some external disturbance such as flowing water ...