TY - CHAP
T1 - ModCAM
T2 - scalable multi-UAV system for cooperative aerial manipulation
AU - James, Alice
AU - Seth, Avishkar
AU - Kuantama, Endrowednes
AU - Han, Richard
AU - Mukhopadhyay, Subhas
PY - 2026
Y1 - 2026
N2 - Modular aerial robots such as UAVs equipped with manipulation mechanisms offer significant potential for tasks like payload transportation and operations in hazardous environments. We introduce ModCAM, a novel aerial manipulation technique employing cooperative UAVs for autonomous navigation and payload transport in GPS-denied environments. Our system features a multi-degree-of-freedom (M-DoF) manipulator that uses a push-based method to elevate payloads above the UAVs, enhancing maneuverability and reducing slipstream effects. Our adaptive localization method, utilizing Visual-Inertial Odometry (VIO), across four UAVs ensures precise formation control, maintaining an optimal spacing of 1 meter. The prototype UAVs utilize custom-built components and open-source hardware to ensure reproducibility within the research community. The stability and effectiveness of our system are validated through simulations and real-world experiments, achieving tracking errors of ±0.35 rad/s for pitch and ±0.79 rad/s for roll.
AB - Modular aerial robots such as UAVs equipped with manipulation mechanisms offer significant potential for tasks like payload transportation and operations in hazardous environments. We introduce ModCAM, a novel aerial manipulation technique employing cooperative UAVs for autonomous navigation and payload transport in GPS-denied environments. Our system features a multi-degree-of-freedom (M-DoF) manipulator that uses a push-based method to elevate payloads above the UAVs, enhancing maneuverability and reducing slipstream effects. Our adaptive localization method, utilizing Visual-Inertial Odometry (VIO), across four UAVs ensures precise formation control, maintaining an optimal spacing of 1 meter. The prototype UAVs utilize custom-built components and open-source hardware to ensure reproducibility within the research community. The stability and effectiveness of our system are validated through simulations and real-world experiments, achieving tracking errors of ±0.35 rad/s for pitch and ±0.79 rad/s for roll.
KW - Sensor applications
KW - UAV
KW - Autonomous navigation
UR - https://www.scopus.com/pages/publications/105040721575
U2 - 10.1007/978-3-032-17804-6_1
DO - 10.1007/978-3-032-17804-6_1
M3 - Chapter
AN - SCOPUS:105040721575
SN - 9783032178039
SN - 9783032178060
T3 - Smart Sensors, Measurement and Instrumentation
SP - 1
EP - 17
BT - Novel sensing for robotics and drones
A2 - Thiyagarajan, Karthick
A2 - Mukhopadhyay, Subhas
PB - Springer, Springer Nature
CY - Cham, Switzerland
ER -