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Description
Civil engineers are not educated with robotics. They need to be trained on the job with effective tools. The most recent simulation trainer that the PI has built is currently being used by the United States Navy to train surface warfare officers in decision making under stress. In a crowded in-port environment, the crew on a ship’s bridge is trained to probe and identify suspicious boat behavior within the port’s traffic pattern. Officers in charge of the simulation training lesson use software for high-level control of dozens of other ships, boats, and aircrafts that quickly react and adapt to the crewed ship’s actions based on lower-level programmed autonomy and game-like user interaction. Without this virtual “experience,” improperly trained crews put lives in danger. Scenarios that would be catastrophic in reality can also be simulated and, without this training, especially for recovering from error states, operators may inadvertently lose valuable hardware, produce erroneous results, and compromise system and human safety.
This project aims to build a Simulation Training And Control System (STACS) prototype within a 3D simulation game-like environment and develop a realistic training environment. Specific objectives include: (1) Investigate and optimize the design of user interaction and user interfaces within a full 3D game-like environment for training and control, (2) Investigate and optimize the tradeoff between manual and autonomous control of multi-robot teams for bridge inspection, (3) Train bridge inspectors in the use of the proposed multi-robot system, and (4) Provide human operators with complete situational awareness and operational control during an ongoing inspection.
Presentation Date
03 Aug 2020, 12:00 pm - 1:00 pm
Meeting Name
INSPIRE-UTC 2020 Annual Meeting
Department(s)
Civil, Architectural and Environmental Engineering
Document Type
Presentation
Document Version
Final Version
File Type
text
Language(s)
English
Developing a Robotic Simulator and Video Games for Professional and Public Training
Civil engineers are not educated with robotics. They need to be trained on the job with effective tools. The most recent simulation trainer that the PI has built is currently being used by the United States Navy to train surface warfare officers in decision making under stress. In a crowded in-port environment, the crew on a ship’s bridge is trained to probe and identify suspicious boat behavior within the port’s traffic pattern. Officers in charge of the simulation training lesson use software for high-level control of dozens of other ships, boats, and aircrafts that quickly react and adapt to the crewed ship’s actions based on lower-level programmed autonomy and game-like user interaction. Without this virtual “experience,” improperly trained crews put lives in danger. Scenarios that would be catastrophic in reality can also be simulated and, without this training, especially for recovering from error states, operators may inadvertently lose valuable hardware, produce erroneous results, and compromise system and human safety.
This project aims to build a Simulation Training And Control System (STACS) prototype within a 3D simulation game-like environment and develop a realistic training environment. Specific objectives include: (1) Investigate and optimize the design of user interaction and user interfaces within a full 3D game-like environment for training and control, (2) Investigate and optimize the tradeoff between manual and autonomous control of multi-robot teams for bridge inspection, (3) Train bridge inspectors in the use of the proposed multi-robot system, and (4) Provide human operators with complete situational awareness and operational control during an ongoing inspection.
Comments
WD-2
Simulation Training and Control for Professional Operations and Training
Simulation Training and Route Optimization for Automated Bridge Inspecting Robots