The first camera, pointing forward and mounted vertically, provided a horizontal field of view (FOV) with a width of 45\({}^{\circ}\). Equipped with a catadioptric lens and a curved mirror, the second camera captured a full 360\({}^{\circ}\) view around the robot, employing techniques to unfold the video from the lens and improve the main camera's displayed view. The research revealed a 30% reduction in task completion time when using a wide-angle (180\({}^{\circ}\)) and panoramic (360\({}^{\circ}\)) view. Furthermore, in the case of a wide-angle view, the number of errors decreased almost four times, whereas in the case of a panoramic view (360\({}^{\circ}\)), it decreased only 2.5 times. We found that a wider FOV enhances situation awareness by forming mental maps. Moreover, participants found the panoramic interface (360\({}^{\circ}\)) to be significantly more difficult to use than the wide-angle interface (180\({}^{\circ}\)). [PERSON] et al. (2017) [49] investigated the effectiveness of the HRI system (Human Robot Interaction) of a robot used for grape cultivation in a teleoperation system. It was discovered that using a PC screen instead of a head-mounted display (HMD) increases the comfort of use and reduces the operator's effort by about 10%, despite the task's relatively short duration. Furthermore, the interface with multiple views improves the robot's efficiency--it reduces the number of collisions and increases the efficiency of detection and spraying clusters. Using a single camera in the HRI system, situational awareness is significantly limited; it does not allow for precise determination of the location of obstacles or the observation and recognition of the surrounding environment. Moreover, it is advisable to use a separate camera to search for objects and carry out technological tasks. This is supported by the research results presented in [PERSON] et al. (2003) [50], where, through simulation studies, it was demonstrated that it is justified to use not only a fixed driving camera but also an additional PTZ camera to perform search and detect tasks. This is in line with the work of [PERSON] et al. (2004) [37] and [PERSON] et al. (2005) [42], which indicated that augmenting video by increasing FOV cameras, using panoramic views, and zoom/pan capabilities improves operator efficiency and awareness. The presented studies have shown that for uncomplicated tasks like driving a vehicle on the road, a relatively narrow field of view of 50-60\({}^{\circ}\) is sufficient. For the effective execution of more complex tasks, such as off-road or complex spatial environment rides, it is necessary to utilize a wide field of view that extends to 180\({}^{\circ}\). This allows for the formation of mental maps and better situational awareness. The central part of the FOV should be characterized by high resolution, while the peripheral view may have a lower resolution. This solution is insufficient for the implementation of search and detection missions. Providing high resolution throughout the entire wide FOV does not increase the operator's load or extend the task's execution time. The interface with a panoramic view of the FOV 360\({}^{\circ}\) does not improve situational awareness and is not very intuitive for the user. HMD is uncomfortable for long-term missions because it has a limited FOV and can cause motion sickness. In this regard, using LCD screens is more advantageous. PTZ cameras are useful in search and detection missions, as well as in controlling manipulators and end effectors--in this case, they provide action awareness. However, their use to visualize the surroundings while driving and building situation awareness is problematic because the lack of correlation between the optical axis of the camera and the longitudinal axis of the vehicle can lead to serious collisions. For UGV driving, fixed cameras with a horizontal view are a much better solution.