Robotic harvesting of fruits and vegetables is an advanced technology that leverages robotics, Artificial Intelligence, and Machine vision to harvest the fruits autonomously from plants or trees. this technology aims ...
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In order to controlthe end-effector to achieve accurate and suitable posture for high-precision processes in complex industrial environments, amechanism is often added to make secondary adjustment of the tool end pos...
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ISBN:
(纸本)9789819607709;9789819607716
In order to controlthe end-effector to achieve accurate and suitable posture for high-precision processes in complex industrial environments, amechanism is often added to make secondary adjustment of the tool end posture. the 3-RPS parallel connection is widely used for target posture control in small workspaces due to its features of high control accuracy, large load, and small size and mass. In order to avoid the influence of process error and assembly error on the control accuracy of the parallel system, it is necessary to identify its parameters with high accuracy before use. However, the traditional non-contact calibration methods, such as position sensors and cameras, have the disadvantages of complex system, difficult to build, lower accuracy and cumbersome operation. To address the above problems, this paper proposes a non-contact measurement calibration method based on facial laser scanner, and establishes a calibration system based on a self-designed and fabricated 3-RPS parallel robot, realizes the high-precision measurement of the overall position and attitude information of the robot through the splicing of multi-segmented point clouds and feature extraction algorithms, establishes an inverse kinematic model of the robot, combines the 3D model withthe parameter identification equations, realizes the parallel robot kinematic calibration, and designs the accuracy verification method. the effectiveness of the parameter calibration and the control algorithm of the parallel robot are verified by experiments.
the Autonomous Underwater Vehicle (AUV), as an important equipment technology for the development and utilization ofmarine resources, is cableless, which can reduce the influence of cable disturbance on AUV control. C...
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ISBN:
(数字)9789819607921
ISBN:
(纸本)9789819607914;9789819607921
the Autonomous Underwater Vehicle (AUV), as an important equipment technology for the development and utilization ofmarine resources, is cableless, which can reduce the influence of cable disturbance on AUV control. Compared with other types of underwater robots, it has obvious application advantages. However, the underwater environment is complex and constantly changing, and the AUV system is highly nonlinear, which poses challenges to the motion control of AUVs. the development of software for AUV motion control and status monitoring is designed by using Qt Creator software in this paper. the functions of the control system interface aremainly included in monitoring the communication status and data transmission of the control system interface withthe NVIDIA control board, sending AUV motion commands, monitoring sensor data, and testing AUV power components. the AUV sensor data is retrieved and control commands are transmitted to the controller via unicast and multithreaded network communication based on the UDP/IP protocol. the Autonomous Underwater Vehicle (AUV) status can be displayed in real-time by the system interface, as demonstrated by experimental verification. Additionally, the control commands issued by the software can be promptly responded to by the AUV. A strong basis for future research on AUV motion control is established by these findings.
this paper presents an actively gaze controlled LiDAR system for the omni-directional wheeled robot, withthis system, the LiDAR odometry drift caused by rapid rotation and feature degradation can be greatly mitigated...
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ISBN:
(纸本)9789819607730;9789819607747
this paper presents an actively gaze controlled LiDAR system for the omni-directional wheeled robot, withthis system, the LiDAR odometry drift caused by rapid rotation and feature degradation can be greatly mitigated. this is an extension of our previous work [1]. In our previous work, information from the point cloud are extracted and projected to a 2.5-D grid map, this grid map acts as an indicator for the distributions of the feature points, thus can be used to guide the LiDAR to choose an optimal gaze angle. However, errors and randomness inside the map are not accounted and quantified. In this paper, we investigate the mechanisms of error propagation during map building, and derive the formulas for map updates using an 1-D Kalman filter. Several simulations are conducted to verify the usefulness and practicability of the proposed system with an omni-directional robot.
Object recognition and grasping by the robotic arm are crucial prerequisites for realizing brain-controlled robotic arms. Excellent robotic arm design and efficient algorithms can compensate for the shortcomings of Br...
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ISBN:
(数字)9798331544577
ISBN:
(纸本)9798331544584
Object recognition and grasping by the robotic arm are crucial prerequisites for realizing brain-controlled robotic arms. Excellent robotic arm design and efficient algorithms can compensate for the shortcomings of Brain-Computer Interface (BCI) based on motor imagery. this paper utilizes a depth camera as the sensor for environmental perception and employs a six-degree-of-freedom robotic arm with computer vision capabilities to achieve object recognition, pose estimation, and autonomous grasping in multi-target scenarios. the robotic arm is controlled to grasp a recognized object online via BCI based on the analysis of evoked potentials of the user's EEG signals upon presentation of visual stimuli.
the proceedings contain 86 papers. the topics discussed include: flying wing drones based on cricket antennas;on the design and fabrication of a voice-controlled mobile robot platform;a control engineering framework f...
ISBN:
(纸本)9789897585227
the proceedings contain 86 papers. the topics discussed include: flying wing drones based on cricket antennas;on the design and fabrication of a voice-controlled mobile robot platform;a control engineering framework for quadrotors: an application for the Crazyflie 2.X;edge and corner detection in unorganized point clouds for robotic pick and place applications;revisiting Johann Bernoulli's method for the Brachistochrone problem;stiffness modeling of compliant serial manipulators based on tensegrity mechanism under external loading;Bayesian mixture estimation without tears;optimization-based or AI task planning for scenarios with cooperating mobile manipulators?;and energy consumption modeling for specific washing programs of horizontal washing machine using system identification.
In highly dynamic and unstructured environments, existing intelligent robots often face significant challenges when performing specific tasks, such as adapting to unpredictable changes, handling a wide variety of obst...
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ISBN:
(纸本)9789819607792;9789819607808
In highly dynamic and unstructured environments, existing intelligent robots often face significant challenges when performing specific tasks, such as adapting to unpredictable changes, handling a wide variety of obstacles, and maintaining operational accuracy under variable conditions. the motion capture devices, which can capture human movements and provide feedback, offer an effective solution to these challenges. Integrating the human operator into the control loop in this manner allows the controlled robot to act as an extension of the human body, sensing the environment and executing tasks accordingly. this paper presents the development of the Wearable Upper-Limb Exoskeleton Featuring Force Feedback, a seven-degree-of-freedom exoskeleton interactive device that closely conforms to the human body. the exoskeleton is user-friendly and efficiently records upper limb movement data. Kinematic analysis reveals that the exoskeleton's workspace is highly compatible withthe human upper limb, offering excellent operability across various postures. Furthermore, we adopted an incremental motion mapping approach for teleoperation. Experiments were conducted to demonstrate that the exoskeleton accurately captures human motion. the results showed that this system ensures effective robot follow-through and enables operators to smoothly control a remote robot in executing predefined target tasks.
Dynamical systems (DS) has been applied to robot contact tasks, such as grinding and force tracking, because of its motion replanning capability after disturbances. However, when faced with robot tasks like peg-in-hol...
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ISBN:
(纸本)9789819607884;9789819607891
Dynamical systems (DS) has been applied to robot contact tasks, such as grinding and force tracking, because of its motion replanning capability after disturbances. However, when faced with robot tasks like peg-in-hole assembly that can be decomposed into multiple subtasks, DS can still replan at motion level but lacks the ability to plan subtasks after disturbances from humans. In this paper, we propose a DS-based peg-in-hole assembly method using a linear temporal logic (LTL) planner with impedance control to make up for the lack of task-level replanning. In our approach, the motion policy (even force profile) of each assembly subtask is represented as a single DS, and the switching of subtasks is determined by the LTL planner. Due to the motion replanning of DS and the task planning capacity of the LTL planner, the human collaborator is allowed to interact directly withthe robot. After interactions, the robot will replan itself and continue to perform its task smoothly according to our assembly strategy. the proposed method is carried out in experiments on a six-degrees-of-freedom collaborative robot. the experimental results demonstrate the effectiveness of this method.
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