scholarly journals A Physarum-Inspired Decision-Making Strategy for Multisource Task Searching of Mobile Robots

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Laihao Jiang ◽  
Hongwei Mo ◽  
Lifang Xu
Keyword(s):  
Decision Making ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Real World ◽  
Physarum Polycephalum ◽  
Search Algorithms ◽  
Single Source ◽  
Area Source ◽  
Simulation Results ◽  
Better Than

In the real world, there are many different kinds of sources, such as light, sound, and gas, distributed randomly over an area. Source search can be carried out by robotic system in applications. However, for a single robot, the multisource search has been receiving relatively little attention compared to single-source search. For multisource task searching, a single robot has a high travel cost and is easy to trap a source which has been located before. In order to overcome these shortages, two multisource search algorithms inspired by the foraging behavior of Physarum polycephalum are proposed in this paper. First, a Physarum-inspired Strategy (PS) is designed based on the gradient climbing characteristic of Physarum polycephalum during foraging. The PS is simple and effective to let a mobile robot traverse all sources. Then, an extension algorithm named Physarum-inspired Decision-making Strategy (PDS) is proposed based on PS. Therein the synthetical field gradient model is established by introducing decision-making factor to obtain more accurate gradient information estimation. The PDS also introduces an obstacle avoidance model. Various simulation results obtained in the multisource environments show that the performance of PDS is better than other algorithms.

Sensory Network for Mobile Robotic Systems with Structured Intelligence

1998 ◽  
Vol 10 (4) ◽  
pp. 338-349 ◽  
Author(s):  
Naoyuki Kubota ◽  
◽  
Toshio Fukuda ◽  
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Mobile Robot ◽  
Collision Avoidance ◽  
Environmental Conditions ◽  
Fuzzy Controller ◽  
Robotic Systems ◽  
Delta Rule ◽  
Simulation Results ◽  
Collision Avoidance Problems

This paper deals with a sensory network for mobile robotic systems with structured intelligence. A mobile robot requires close linkage of sensing, decision making, and action. To realize this, we propose structured intelligence for robotic systems. In this paper, we focus on the sensing ability for a mobile robot with a fuzzy controller tuned by the delta rule and whose architecture is optimized by a genetic algorithm. We apply the sensory network for controlling attention ranges for external sensors and for adjusting fuzzy controller output from the metalevel. As a simulation example, we apply the proposed method to mobile robot collision avoidance problems. Simulation results show that sensory networks control the attention range for perception and adjust fuzzy controller output based on given environmental conditions. We show the experimental results of mobile robot collision avoidance in work space including several obstacles.

Decision Making for a Mobile Robot Using Potential Function

2007 ◽  
Vol 19 (3) ◽  
pp. 298-307 ◽  
Author(s):  
Kazumi Oikawa ◽  
◽  
Hidenori Takauji ◽  
Takanori Emaru ◽  
Takeshi Tsuchiya ◽  
...  
Keyword(s):  
Decision Making ◽  
Mobile Robot ◽  
Potential Function ◽  
State Transition ◽  
Lower Layer ◽  
Object Oriented ◽  
Subsumption Architecture ◽  
Object Oriented Design ◽  
Event Driven ◽  
Simulation Results

We discuss decision making for a behavior-based robot with modules which determining robot action. The subsumption architecture (SA) arranges modules in layers, giving upper-layer module action priority over lower-layer modules. Although implementation is easy, results in many inefficient actions because upper-layer module are used regardless of other modules. We solve this problem by representing actions by Potential Function (PF), in which maximum votes are collected from modules. Using event-driven state transition, the robot decides its action with appropriate sets of modules changed based on the situation. We apply this to navigation tasks in a corridor and show simulation results. When we give a map and path designation to the robot, we use a handwriting map interface. We compare object-oriented design SA and PMF with our proposal and show how inefficient actions are reduced using our proposal.

Virtual Reality based Mobile Robot Navigation in Greenhouse Environment

2017 ◽  
Vol 8 (2) ◽  
pp. 854-859
Author(s):  
M. Saiful Azimi ◽  
Z. A. Shukri ◽  
M. Zaharuddin
Keyword(s):  
Virtual Reality ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Virtual Environment ◽  
Robot Navigation ◽  
Tracking Error ◽  
Mobile Robot Navigation ◽  
Probabilistic Roadmap ◽  
Time Distance ◽  
Simulation Results

The difficulties of transporting heavy mobile robots limit robotic experiments in agriculture. Virtual reality however, offers an alternative to conduct experiments in agriculture. This paper presents an application of virtual reality in a robot navigational experiment using SolidWorks and simulated into MATLAB. Trajectories were initiated using Probabilistic Roadmap and compared based on travel time, distance and tracking error, and the efficiency was calculated. The simulation results showed that the proposed method was able to conduct the navigational experiment inside the virtual environment. U-turn trajectory was chosen as the best trajectory for crop inspection with 82.7% efficiency.

A Robust NavigationMethod for Mobile Robots in Real-World Environments

2014 ◽  
Vol 26 (2) ◽  
pp. 177-184 ◽  
Author(s):  
Sam Ann Rahok ◽  
◽  
Hirohisa Oneda ◽  
Akio Tanaka ◽  
Koichi Ozaki ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Real World ◽  
Laser Range ◽  
The Real ◽  
Laser Range Scanner ◽  
Lateral Error ◽  
The Magnetic Field ◽  
Navigation Method

This paper describes a robust navigation method for real-world environments. The method uses a 3-axis magnetic sensor and a laser range scanner. The magnetic field that occurs in the environment is used as key landmarks in the proposed navigation method, and physical landmarks scanned by the laser range scanner are taken into account in compensating for the mobile robot’s lateral error. An evaluation experiment was conducted during the final run of the Real World Robot Challenge (RWRC) 2013, and the result showed that the mobile robot equipped with the proposed method robustly navigated a 1.6 km course.

Special Issue on Real World Robot Challenge in Tsukuba – Autonomous Technology for Useful Mobile Robot –

2015 ◽  
Vol 27 (4) ◽  
pp. 317-317 ◽  
Author(s):  
Yoshihiro Takita ◽  
Shin’ichi Yuta ◽  
Takashi Tsubouchi ◽  
Koichi Ozaki
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Real World ◽  
Autonomous Mobile Robots ◽  
Test Field ◽  
Human Beings ◽  
Special Issue ◽  
Problems And Solutions ◽  
Technological Challenge ◽  
Autonomous Technology

The first Tsukuba Challenge started in 2007 as a technological challenge for autonomous mobile robots moving around on city walkways. A task was then added involving the search for certain persons. In these and other ways, the challenge provides a test field for developing positive relationships between mobile robots and human beings. To make progress an autonomous robotic research, this special issue details and clarifies technological problems and solutions found by participants in the challenge. We sincerely thank the authors and reviewers for this chance to work with them in these important areas.

Development of Mobile Robot “SARA” that Completed Mission in Real World Robot Challenge 2014

2015 ◽  
Vol 27 (4) ◽  
pp. 327-336 ◽  
Author(s):  
Naoki Akai ◽  
◽  
Kenji Yamauchi ◽  
Kazumichi Inoue ◽  
Yasunari Kakigi ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Real World ◽  
Long Distance ◽  
Technical Challenge ◽  
The Real

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270004/02.jpg"" width=""450"" />View of SARA with and without cowl</div> Held in Japan every year since 2007, the Real World Robot Challenge (RWRC) is a technical challenge for mobile robots. Every robot is given the missions of traveling a long distance and finding specific persons autonomously. The robots must also have an affinity for people and be remotely monitored. In order to complete the missions, we developed a new mobile robot, SARA, which we entered in RWRC 2014. The robot successfully completed all of the missions of the challenge. In this paper, the systems we implemented are detailed. Moreover, results of experiments and of the challenge are presented, and knowledges we gained through the experience are discussed. </span>

Decentralized Multi-Robot Teams Using Wheeled Manipulation for Object Transportation

2012 ◽  
Author(s):  
Tyson L. Ringold ◽  
Raymond J. Cipra
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Dynamic Simulation ◽  
Carrying Capacity ◽  
Arbitrary Number ◽  
Object Interaction ◽  
Wheeled Robot ◽  
Simulation Results ◽  
Object Transportation ◽  
Multi Robot

Object transportation is an especially suitable task for cooperative mobile robots where the carrying capacity of an individual robot is naturally limited. In this work, a unique wheeled robot is presented that, when used in homogeneous teams, is able to lift and carry objects which may be significantly larger than the robot itself. A key feature of the presented robot is that it is devoid of articulated manipulation mechanisms, but instead relies on its drive wheels for object interaction. After a brief introduction to the mechanics of this mobile robot, a behavior-based lifting and carrying strategy is developed that allows the robot to cooperatively raise an object from the ground, transition into a carrying role, and then transport the object across cluttered, unstructured terrain. The strategy is inherently decentralized, allowing an arbitrary number of robots to participate in the transportation task. Dynamic simulation results are then presented, showing the effectiveness of the strategy.

Development of the Searching Algorithm with Complexity Environment for Mobile Robots

2013 ◽  
Vol 284-287 ◽  
pp. 1826-1830
Author(s):  
Yung Chin Lin ◽  
Kuo Lan Su ◽  
Chih Hung Chang
Keyword(s):  
User Interface ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Initial Point ◽  
Motion Path ◽  
Target Point ◽  
Motion Platform ◽  
Motion Paths ◽  
Simulation Results ◽  
Flood Fill

The article programs the shortest path searching problems of the mobile robot in the complexity unknown environment, and uses the mobile robot to present the movement scenario from the start point to the target point in a collision-free space. The complexity environment contains variety obstacles, such as road, tree, river, gravel, grass, highway and unknown obstacle. We set the relative dangerous grade for variety obstacles. The mobile robot searches the target point to locate the positions of unknown obstacles, and avoids these obstacles moving in the motion platform. We develop the user interface to help users filling out the positions of the mobile robot and the obstacles on the supervised computer, such the initial point of the mobile robot, the start point and the target point. The supervised computer programs the motion paths of the mobile robot according to A* searching algorithm, flood-fill algorithm and 2-op exchange algorithm The simulation results present the proposed algorithms that program the shortest motion paths from the initial point approach to the target point for the mobile robot. The supervised computer controls the mobile robot that follows the programmed motion path moving to the target point in the complexity environment via wireless radio frequency (RF) interface.

scholarly journals Motion Planning of Multiple Mobile Robots Using Virtual Impedance

1996 ◽  
Vol 8 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Tamio Arai ◽  
◽  
Jun Ota
Keyword(s):  
Mobile Robot ◽  
Motion Planning ◽  
Mobile Robots ◽  
Lower Layer ◽  
Local Equilibrium ◽  
Current Position ◽  
Cooperative Motion ◽  
Robot Systems ◽  
Simulation Results ◽  
Virtual Impedance

This paper proposes a planning method for multiple mobile robot systems. It has two characteristics: (1) Each robot plans a path on its own, without any supervisor; (2) The concept of cooperative motion can be implemented. A two-layered hierarchy is defined for a scheme of individual path planning. The higher layer generates a trajectory from the current position to a goal. The lower layer called“Virtual Impedance Metho” makes a real-time plan to follow the generated trajectory while avoiding obstacles and avoiding or cooperating with other robots. This layer is composed of four modules called, “watchdog”, “deadlock solver”,“blockade solver”, and “pilot”. The local equilibrium is detected by the watchdog and cancelled by the deadlock solver or the blockade solver. Simulation results indicate the effectiveness of the proposed method.

scholarly journals An algorithm for formation control of mobile robots

2013 ◽  
Vol 10 (1) ◽  
pp. 59-72 ◽  
Author(s):  
Aleksandar Cosic ◽  
Marko Susic ◽  
Stevica Graovac ◽  
Dusko Katic
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Trajectory Tracking ◽  
Formation Control ◽  
Control Structure ◽  
Kinematic Model ◽  
The Real ◽  
Avoidance Control ◽  
Simulation Results ◽  
High Level

Solution of the formation guidance in structured static environments is presented in this paper. It is assumed that high level planner is available, which generates collision free trajectory for the leader robot. Leader robot is forced to track generated trajectory, while followers? trajectories are generated based on the trajectory realized by the real leader. Real environments contain large number of static obstacles, which can be arbitrarily positioned. Hence, formation switching becomes necessary in cases when followers can collide with obstacles. In order to ensure trajectory tracking, as well as object avoidance, control structure with several controllers of different roles (trajectory tracking, obstacle avoiding, vehicle avoiding and combined controller) has been adopted. Kinematic model of differentially driven two-wheeled mobile robot is assumed. Simulation results show the efficiency of the proposed approach.

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