TY - GEN
T1 - AgiPIX
T2 - 2026 International Conference on Unmanned Aircraft Systems, ICUAS 2026
AU - Arachchige, Sasanka Kuruppu
AU - Garcia, Juan Jose
AU - Tian, Changda
AU - Suomela, Lauri
AU - Trahanias, Panos
AU - Tapus, Adriana
AU - Kämäräinen, Joni Kristian
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026/1/1
Y1 - 2026/1/1
N2 - Autonomous indoor flight for critical asset inspection presents fundamental challenges in perception, planning, control, and learning. Despite rapid progress, there is still a lack of a compact, active-sensing, open-source platform that is reproducible across simulation and real-world operation. To address this gap, we present AgiPIX, a co-designed open hardware and software platform for indoor aerial autonomy and critical asset inspection. AgiPIX features a compact, hardware-synchronized active-sensing platform with onboard GPU-accelerated compute that is capable of agile flight; a containerized ROS 2-based modular autonomy stack; and a photorealistic digital twin of the hardware platform together with a reliable UI. These elements enable rapid iteration via zero-shot transfer of containerized autonomy components between simulation and real flights. We demonstrate trajectory tracking and exploration performance using onboard sensing in industrial indoor environments. All hardware designs, simulation assets, and containerized software are released openly together with documentation.
AB - Autonomous indoor flight for critical asset inspection presents fundamental challenges in perception, planning, control, and learning. Despite rapid progress, there is still a lack of a compact, active-sensing, open-source platform that is reproducible across simulation and real-world operation. To address this gap, we present AgiPIX, a co-designed open hardware and software platform for indoor aerial autonomy and critical asset inspection. AgiPIX features a compact, hardware-synchronized active-sensing platform with onboard GPU-accelerated compute that is capable of agile flight; a containerized ROS 2-based modular autonomy stack; and a photorealistic digital twin of the hardware platform together with a reliable UI. These elements enable rapid iteration via zero-shot transfer of containerized autonomy components between simulation and real flights. We demonstrate trajectory tracking and exploration performance using onboard sensing in industrial indoor environments. All hardware designs, simulation assets, and containerized software are released openly together with documentation.
UR - https://www.scopus.com/pages/publications/105045616261
U2 - 10.1109/ICUAS69441.2026.11598625
DO - 10.1109/ICUAS69441.2026.11598625
M3 - Conference contribution
AN - SCOPUS:105045616261
T3 - 2026 International Conference on Unmanned Aircraft Systems, ICUAS 2026
SP - 844
EP - 852
BT - 2026 International Conference on Unmanned Aircraft Systems, ICUAS 2026
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 June 2026 through 18 June 2026
ER -