Tag: Richard Agbeyibor

Richard Agbeyibor gets his article published at CrossTalk: The Journal of Defense Software Engineering

Rapid developments in Artificial Intelligence (AI) are bringing increasingly complex autonomy capabilities to the cockpit. Autonomous electric Vertical Take Off and Landing, swarms, Collaborative Combat Aircraft, and other new aviation mission constructs are on the horizon. In the last few decades, military and civil aviation have achieved remarkable safety and effectiveness thanks to automation and […]

Richard Agbeyibor presents at the VFS Complex Systems Technical Meeting (2024)

Looking 10-20 years into the future, in the rapidly advancing world of autonomous, special ops, cargo, and Medevac aircraft, all of the basic aviation functions will likely be handled completely and competently by AI agents embedded within air vehicles. Under nominal conditions (and many basic off-nominal situations) the AI-controlled vehicle will operate autonomously and independently […]

Richard Agbeyibor presents at the IEEE/AIAA 43rd Digital Avionics Systems Conference (DASC 2024)

Many aviation missions today are accomplished by a heterogeneous crew of pilots and mission specialists. As fully Automated Pilots (AP) are integrated into aviation crews, effective teaming will be necessary for safety assurance and mission effectiveness. This flight simulator study explored teaming between a non-pilot human operator and an AP collaborating on a maritime Intelligence, […]

Richard Agbeyibor presents at the 2024 Human Factors and Ergonomics Society Annual Meeting

This study explores human-autonomy collaboration between a future autonomous pilot and a human crew member pursuing a joint Intelligence, Surveillance, and Reconnaissance (ISR) mission. We introduce a novel open-sourced autonomous ISR interaction domain simulating real-world scenarios. As aviation increasingly integrates autonomy, our focus lies in understanding how various autonomous capabilities and interface features affect trust, […]

Richard Agbeyibor presents at the AIAA AVIATION FORUM AND ASCEND 2024

The maturation of autonomy for electric vertical take-off and landing aircraft will soon make it possible to execute military intelligence, surveillance, reconnaissance (ISR) missions aboard crewed autonomous aerial vehicles. This research experimentally investigates factors that may influence the quality of interaction (i.e., team fluency) between a non-pilot human operator and the AI pilot responsible for […]

Richard Agbeyibor, Vedant Ruia, and Jack Kolb get their paper accepted at the 2024 IEEE/AIAA Digital Avionics Systems Conference (DASC)

Many aviation missions today are accomplished by a heterogeneous crew of pilots and mission specialists. As fully Automated Pilots (AP) are integrated into aviation crews, effective teaming will be necessary for safety assurance and mission effectiveness. This flight simulator study explored teaming between a non-pilot human operator and an AP collaborating on a maritime Intelligence, […]

Richard Agbeyibor, Vedant Ruia, and Jack Kolb get their paper accepted at the 2024 Human Factors and Ergonomics Society (HFES) Conference

This study explores human-autonomy collaboration between a future autonomous pilot and a human crew member pursuing a joint Intelligence, Surveillance, and Reconnaissance (ISR) mission. We introduce a novel open-sourced autonomous ISR interaction domain simulating real-world scenarios. As aviation increasingly integrates autonomy, our focus lies in understanding how various autonomous capabilities and interface features affect trust, […]

Richard Agbeyibor, Vedant Ruia, and Jack Kolb get their publication accepted at the AIAA Aviation Forum and ASCEND

The maturation of autonomy for electric vertical take-off and landing aircraft will soon make it possible to execute military intelligence, surveillance, reconnaissance (ISR) missions aboard crewed autonomous aerial vehicles. This research experimentally investigates factors that may influence the quality of interaction (i.e., team fluency) between a non-pilot human operator and the AI pilot responsible for […]