Photogrammetric visual odometry with unmanned ground vehicle using low cost sensors

Author(s):  
Paolo Dabove ◽  
Andrea M. Lingua ◽  
Marco Piras
2018 ◽  
Vol 3 (2) ◽  
pp. 304-320 ◽  
Author(s):  
Christopher Kwet Young Lam Loong Man ◽  
Yogesh Koonjul ◽  
Leckraj Nagowah

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Uttam U. Deshpande ◽  
Aditya Barale ◽  
V. S. Malemath

The prime reason for proposing the work is designing and developing a low-cost guided wireless Unmanned Ground Vehicle (UGV) for use in hospitals for assistance in contactless drug delivery in COVID-19 wards. The Robot is designed as per the requirements and technical specifications required for the healthcare facility. After a detailed survey and tests of various mechanisms for steering and structure of UGV, the best mechanism preferred for steering articulated and for body structure is hexagonal as this approach provides decent performance and stability required to achieve the objective. The UGV has multiple sensors onboard, such as a Camera, GPS module, Hydrogen, and Carbon Gas sensor, Raindrop sensor, and an ultrasonic range finder on UGV for the end-user to understand the circumferential environment and status of UGV. The data and control options are displayed on any phone or computer present in the Wi-Fi zones only if the user login is validated. ESP-32 microcontroller is the prime component utilized to establish reliable wireless communication between the user and UGV.These days, the demand for robot vehicles in hospitals has increased rapidly due to pandemic outbreaks as using this makes a contactless delivery of the medicinal drug. These systems are designed specifically to assist humans in the current situation where life can be at risk for healthcare facilities. In addition, the robot vehicle is suitable for many other applications like supervision, sanitization, carrying medicines and medical equipment for delivery, delivery of food and used dishes, laundry, garbage, laboratory samples, and additional supply.


Author(s):  
Steve Vozar ◽  
D. M. Tilbury

Augmented Reality (AR) combines real-world visual data with an overlay of computer graphics, enhancing the original video feed. AR can improve communication between robots and users via an intuitive spatial and visual dialogue, making it an attractive tool for teleoperated robot user interfaces (UIs). Many Unmanned Ground Vehicle (UGV) teleoperation tasks require both chassis navigation and manipulator arm control; however existing literature usually focuses on one task or the other, so there exists a gap in mobile robot UIs that take advantage of AR for both navigation and manipulation. This work describes the development and initial testing of a low-cost alpha-design UI for a teleoperated mobile manipulation task that uses AR technology to help the user feel more present in the robot’s environment. The results of the initial user tests are to be used to guide the future development of the user interface.


Author(s):  
Junwei Tian ◽  
Haoyu Niu ◽  
Peng Wang ◽  
YangQuan Chen

Abstract Smart farming focuses on the application of intelligent and autonomous machines to make agricultural production more effective. The development of Agriculture Unmanned Ground Vehicle (AUGV) makes it possible to utilize smart, small, intelligent robots in agriculture. Even existing AUGVs have been used in many fields, their disadvantages have limited the promotion of current AUGV system. Based on the demands of farmers, a new Low Cost Smart Agriculture Unmanned Ground Vehicle (LCS-AUGV) system is proposed. The challenges and opportunities of LCS-AUGV are discussed, and the frame work of LCS-AUGV is designed. The designed LCS-AUGV includes two subsystems: Unmanned Ground Vehicle System (UGVS) and Remote Control System (RCS), and diagrams of each subsystem are designed and described in detail. The measuring and control system (MCS) of LCS-AUGV is designed, and hierarchical structure is introduced into MCS. The new MCS principle can add or remove super information center easily, thus the high performance and low cost of the system can be taken into account. Based on the proposed MCS, a five-level control strategy is designed. The designed control strategy includes Basic Level Control (BLC), Low Level Control (HLC), Super Level Control (SLC), Agriculture Mission Based Control (AMBC). A LCS-AUGV platform is built at the basis of the designed frame work, and the cost analysis is performed. According to the analysis, the hardware cost can be controlled below $1000, while most super function can be realized. The typical applications also are described. LCS-AUGV provides an ideal platform for most smart farming tasks and is easily to be accepted by farmers. The LCS-AUGV also can be used in high level intelligence agriculture field, and be selected as a new algorithm’s research platform.


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