作者:
Konstantinov, SergeyDiveev, AskhatRUDN Univ
Agr & Technol Inst Dept Technospher Secur 6 Miklukho Maklaya St Moscow 117198 Russia Russian Acad Sci
Dept Robot Control Fed Res Ctr Comp Sci & Control 44 Bld 2 Vavilova Str Moscow 119333 Russia
Coverage path planning (CPP) and path motion stabilization (PMS) play crucial roles in a variety of robotics applications, with a particular focus on their significance in precision agriculture. CPP determines optimal...
详细信息
ISBN:
(纸本)9798350373981;9798350373974
Coverage path planning (CPP) and path motion stabilization (PMS) play crucial roles in a variety of robotics applications, with a particular focus on their significance in precision agriculture. CPP determines optimal paths for covering specified target space, while PMS ensures precise movement along these paths. The paper proposes the advancement of CPP and PMS methodologies through the application of modern metaheuristic algorithms and symbolic regression methods. This study addresses a novel problem where the utilization of these methodologies is pursued to develop a universal stabilization system for moving an object along a trajectory, ensuring complete coverage of target space. Metaheuristic algorithms, such as the Grey Wolf Optimizer used in this study, can effectively solve CPP problems by decomposing the target space into subregions and searching for the optimal trajectory to efficiently explore these subregions. PMS utilizes symbolic regression methods and machine learning control techniques to develop stabilization systems. The control function of the stabilization system is considered as a function of the deviation from the equilibrium state. Consequently, it becomes feasible to explicitly derive a universal stabilization system for subsequent integration into the control object. The proposed CPP and PMS methodologies are evaluated through a computational experiment centered on crop monitoring using a quadcopter, thereby validating their effectiveness in practicalapplications.
This research paper delves into the intricacies of efficient environment exploration and coverage path planning using multi-robot systems. With a focus on unknown environments, the study addresses the mapping of the e...
详细信息
ISBN:
(纸本)9798350385939;9798350385922
This research paper delves into the intricacies of efficient environment exploration and coverage path planning using multi-robot systems. With a focus on unknown environments, the study addresses the mapping of the environment in 2D, distributing coverage tasks among robots, and coordinating their movements for comprehensive coverage. Various strategies are explored, including Simultaneous localization and mapping (SLAM) using G-mapping, dynamic task distribution, waypoint generation, and coordination mechanisms. Leveraging the collective intelligence of multiple robots, this work aims to optimize coverage while minimizing redundancy and resource consumption. Through simulations and analysis, the effectiveness of the proposed methodology is demonstrated with a coverage efficiency of 98.9%, highlighting the potential of multi-robot system in revolutionizing exploration and coverage path planning in diverse real-world applications.
This paper presents UiAbot, an innovative autonomous mobile robot platform developed at the University of Agder to bridge the gap in hands-on robotics education. Using cost-effective sensors and the robotic Operating ...
详细信息
ISBN:
(纸本)9798350360875;9798350360868
This paper presents UiAbot, an innovative autonomous mobile robot platform developed at the University of Agder to bridge the gap in hands-on robotics education. Using cost-effective sensors and the robotic Operating System with the Navigation Stack, this internally developed platform facilitates advanced autonomous navigation, surpassing predecessors such as the TurtleBot3 in flexibility, functionality, and affordability. Integrated into master courses and research, the UiAbot demonstrates its effectiveness as an educational and research platform, showcasing the impact of open source technologies in democratizing robotics research and enhancing educational methodologies in autonomous systems.
This paper presents the optimal design of a deployable and reconfigurable cable-driven parallel robot. Cable robots offer a practical solution to large-scale manipulation tasks. They use cables instead of rigid links ...
详细信息
ISBN:
(纸本)9798331516246;9798331516239
This paper presents the optimal design of a deployable and reconfigurable cable-driven parallel robot. Cable robots offer a practical solution to large-scale manipulation tasks. They use cables instead of rigid links to control the end-effector motion. To enable rapid deployment and workspace reconfiguration, the actuation and guiding units can be integrated into the end-effector so that the latter can be easily mounted on different frames. In this case, the end-effector geometry must be optimized taking into account several potential frame configurations. To this end, this paper introduces a novel gradient-based optimization method, designed to maximize the volume and symmetry of the wrench-feasible workspace.
The preset function modules of intelligent customer service robot question-answering system are usually executed on the basis of the imported question-answering objectives, and the question-answering has deviation, wh...
详细信息
Autonomous robots are becoming part of people's daily lives in service applications such as vacuum cleaners, grass mowers, and food serving. One of the most recurrent challenges is to find a fitting path to move i...
详细信息
ISBN:
(纸本)9798350373981;9798350373974
Autonomous robots are becoming part of people's daily lives in service applications such as vacuum cleaners, grass mowers, and food serving. One of the most recurrent challenges is to find a fitting path to move in an unknown environment. This student project aims to simulate this problem using the Turtlebot robot platform, inside an unknown maze. The main goal is the derivation of an autonomous exploration algorithm that allows the robot to eventually exit the maze, based on the assumption, that the robot has no preexisting knowledge about the maze. Additionally, to perceive his environment the robot only uses its integrated sensors, like LiDAR. The derived algorithms are implemented using two simulation environments, firstly a pure mathematical simulation implemented in Python and secondly as a Gazebo simulation, using ROS. In its final status, the robot can explore the maze probability-driven based on a type of occupancy grid. After finding the exit, the sub-optimal path is determined using a wavefront algorithm in combination with a gradient descent method.
The miniaturised Mossbauer spectrometer II (MIMOS II) has proven to be a reliable measuring instrument for planetary exploration over many years. This paper presents a completely revised amplifier electronics in the r...
详细信息
ISBN:
(纸本)9798350373981;9798350373974
The miniaturised Mossbauer spectrometer II (MIMOS II) has proven to be a reliable measuring instrument for planetary exploration over many years. This paper presents a completely revised amplifier electronics in the radiation processing of Mossbauer spectroscopy and its optimisation. The overall electronics are divided into three parts, with this paper focussing exclusively on the first and second part of the signal chain for evaluating photons in experiments with gamma rays. The design makes it possible to weigh up the advantages and disadvantages compared to other simulated circuits in order to optimise MIMOS II for terrestrial and extraterrestrial measurements. First, the first two sections of the electronics are derived, analysed and then compared with measured values of the real circuit. The system behaviour results in a bandpass with cut-off frequencies between 10(1)Hz and 10(12)Hz, which is suitable for radiation measurements. Following the system analysis, a reduced state feedback with a realisable circuit geometry is developed to ensure implementation for real measurements.
Melodica is a situated robot we envision will help users practise mindfulness and overcome social disconnection through music. At a time when there are insufficient mental health resources, several AI tools have been ...
详细信息
ISBN:
(纸本)9781450399708
Melodica is a situated robot we envision will help users practise mindfulness and overcome social disconnection through music. At a time when there are insufficient mental health resources, several AI tools have been designed to support people. Whereas these employ therapeutic practice, Melodica uses music as an approach to self-care. Music is a universal language, accessible to everyone, and helps to connect people from different cultures, age groups, and socio-economic backgrounds. Melodica is designed to be an inclusive and affordable robot that aims to accompany users and enrich their musical experiences, bringing people joy and solace to their everyday lives.
This article presents the prototyping of an educational manipulator robot, based on the "EEZYbotARM Mk2" robot, tailored for first-year master's students in the field of robotics. The project encompasses...
详细信息
ISBN:
(纸本)9798350373981;9798350373974
This article presents the prototyping of an educational manipulator robot, based on the "EEZYbotARM Mk2" robot, tailored for first-year master's students in the field of robotics. The project encompasses the assembly of the robot arm, computation of both forward and inverse kinematics, and analysis of two path-planning movement algorithms. These features are consolidated into an Arduino library to streamline the process for students to generate instructions for the robot. The "EEZYbotARM Mk2" features a three-degree-of-freedom revolute arm with a gripper that remains parallel to its base at all times, enhancing its suitability for educational applications such as pick-and-place tasks. The article provides detailed descriptions of the materials and methods employed, along with proposed challenges for student engagement.
This article describes a study investigating the effects of decision-making autonomy of a robot, which is teleoperated in a simulated unstable or dangerous environment. It specifically focuses on robot's autonomy ...
详细信息
ISBN:
(纸本)9798350375039;9798350375022
This article describes a study investigating the effects of decision-making autonomy of a robot, which is teleoperated in a simulated unstable or dangerous environment. It specifically focuses on robot's autonomy to disregard the user's command if the robot finds an alternative method of achieving the same goal as pursued by the user, but with significantly reduced risk of failure. Such autonomous control module might prove especially useful under circumstances where human operators cannot access or process all available information quickly enough to make the most optimal decision. We conducted an experiment in which subjects participated in a task of teleoperating either a robot that possesses such autonomous cognitive module, or not. We found that such module significantly reduced their sense of agency over the robot as well as the sense of doing the task together with the robot (sense of joint agency). Most interestingly, it reduced their subjective ratings of performance in the task, when in fact their actual performance was better with such an autonomous robot. A further analysis revealed that this counterintuitive finding was due to an effect of bias: in our study loss of control associated with operating an autonomous robot on average lowered the reported subjective performance by 11% points, with other factors staying equal. These results suggest that this type of assistive autonomy can be beneficial for performance, but might lead to unwanted effects that need to be overcome in order for such system to prove useful in practicalapplications.
暂无评论