TY - GEN
T1 - Smartphones power flying robots
AU - Loianno, Giuseppe
AU - Mulgaonkar, Yash
AU - Brunner, Chris
AU - Ahuja, Dheeraj
AU - Ramanandan, Arvind
AU - Chari, Murali
AU - Diaz, Serafin
AU - Kumar, Vijay
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/11
Y1 - 2015/12/11
N2 - Consumer grade technology seen in cameras and phones has led to the price/performance ratio of sensors and processors falling dramatically over the last decade. In particular, most devices are packaged with a camera, a gyroscope, and an accelerometer, important sensors for aerial robotics. The low mass and small form factor make them particularly well suited for autonomous flight with small flying robots, especially in GPS-denied environments. In this work, we present the first fully autonomous smartphone-based quadrotor. All the computation, sensing and control runs on an off-the-shelf smartphone, with all the software functionality in a smartphone app.We show how quadrotors can be stabilized and controlled to achieve autonomous flight in indoor buildings with application to smart homes, search and rescue, construction and architecture. The work allows any consumer with a smartphone to autonomously drive a quadrotor robot platform, even without GPS, by downloading an app, and concurrently build 3-D maps.
AB - Consumer grade technology seen in cameras and phones has led to the price/performance ratio of sensors and processors falling dramatically over the last decade. In particular, most devices are packaged with a camera, a gyroscope, and an accelerometer, important sensors for aerial robotics. The low mass and small form factor make them particularly well suited for autonomous flight with small flying robots, especially in GPS-denied environments. In this work, we present the first fully autonomous smartphone-based quadrotor. All the computation, sensing and control runs on an off-the-shelf smartphone, with all the software functionality in a smartphone app.We show how quadrotors can be stabilized and controlled to achieve autonomous flight in indoor buildings with application to smart homes, search and rescue, construction and architecture. The work allows any consumer with a smartphone to autonomously drive a quadrotor robot platform, even without GPS, by downloading an app, and concurrently build 3-D maps.
KW - Cameras
KW - Robot sensing systems
KW - Smart phones
KW - Software
KW - Vehicles
UR - http://www.scopus.com/inward/record.url?scp=84958176446&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958176446&partnerID=8YFLogxK
U2 - 10.1109/IROS.2015.7353530
DO - 10.1109/IROS.2015.7353530
M3 - Conference contribution
AN - SCOPUS:84958176446
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 1256
EP - 1263
BT - IROS Hamburg 2015 - Conference Digest
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015
Y2 - 28 September 2015 through 2 October 2015
ER -