A method is provided for managing interactions between a control station and a remote system using predictive outcomes.

Often, operations involving a control station and a remote system require a high level of precision and timeliness, making them susceptible to errors and inefficiencies due to any miscommunication or misinterpretation of commands. There is a compelling need for a system that provides a higher level of command predictability and control to prevent such issues. Current approaches to address this problem generally strive to improve the communication structure between the control station and the remote system. However, these solutions often fail to address the issue at the root, namely, the ability to predict potential operational outcomes based on issued commands. Existing systems also lack the capacity to intervene and prevent the issuance of troublesome commands.

Technology Description

The described technology provides a method for effective interaction between a control station and a remote system. It involves a command monitor that holds data related to the remote system's operation in response to commands. This data is regularly updated based on state information received from the remote system. The command monitor also receives commands from the control station intended for the remote system. What sets this technology apart is its predictive functionality. The system anticipates the outcomes of executing commands, based on existing data related to the operation of the remote system. If a predicted outcome is deemed unfavorable, the system intervenes and prevents the execution of the specific command from the set, enhancing operational safety and efficiency.


  • Increased operational safety due to the capacity to prevent unwanted outcomes
  • Improved system efficiency by the ability to preemptively address malfunctions
  • Added layer of control and predictability within a remote-command operational structure

Potential Use Cases

  • Remote operating systems such as drones and autonomous vehicles can employ this system to prevent crashes due to erroneous commands.
  • It can be used within manufacturing setups involving automated assembly lines to prevent operational hiccups.
  • Aerospace industry can employ it in operations involving satellites and space rovers to minimize communication errors.
  • Utility industries could benefit in managing and operating remote systems for monitoring infrastructure.
  • In healthcare, it can be used to improve the precision and safety of teleoperated robotic surgeries.