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Efe Camci
Efe Camci
Institute for Infocomm Research (I2R, A*STAR Singapore)
Bestätigte E-Mail-Adresse bei ntu.edu.sg
Titel
Zitiert von
Zitiert von
Jahr
Autonomous aerial cinematography in unstructured environments with learned artistic decision‐making
R Bonatti, W Wang, C Ho, A Ahuja, M Gschwindt, E Camci, E Kayacan, ...
Journal of Field Robotics 37 (4), 606-641, 2020
1022020
An aerial robot for rice farm quality inspection with type-2 fuzzy neural networks tuned by particle swarm optimization-sliding mode control hybrid algorithm
E Camci, DR Kripalani, L Ma, E Kayacan, MA Khanesar
Swarm and evolutionary computation 41, 1-8, 2018
942018
Can a robot become a movie director? Learning artistic principles for aerial cinematography
M Gschwindt, E Camci, R Bonatti, W Wang, E Kayacan, S Scherer
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
652019
Automated tuning of nonlinear model predictive controller by reinforcement learning
M Mehndiratta, E Camci, E Kayacan
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
512018
Faster RRT-based nonholonomic path planning in 2D building environments using skeleton-constrained path biasing
Y Dong, E Camci, E Kayacan
Journal of Intelligent & Robotic Systems 89, 387-401, 2018
502018
Game of drones: UAV pursuit-evasion game with type-2 fuzzy logic controllers tuned by reinforcement learning
E Camci, E Kayacan
2016 IEEE international conference on fuzzy systems (FUZZ-IEEE), 618-625, 2016
472016
Learning motion primitives for planning swift maneuvers of quadrotor
E Camci, E Kayacan
Autonomous Robots 43, 1733-1745, 2019
322019
End-to-end motion planning of quadrotors using deep reinforcement learning
E Camci, E Kayacan
arXiv preprint arXiv:1909.13599, 2019
172019
Deep reinforcement learning for motion planning of quadrotors using raw depth images
E Camci, D Campolo, E Kayacan
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
162020
QLP: Deep Q-learning for pruning deep neural networks
E Camci, M Gupta, M Wu, J Lin
IEEE Transactions on Circuits and Systems for Video Technology, 2022
152022
Waitress quadcopter explores how to serve drinks by reinforcement learning
E Camci, E Kayacan
2016 IEEE region 10 conference (TENCON), 28-32, 2016
152016
Is complexity required for neural network pruning? a case study on global magnitude pruning
M Gupta, E Camci, VR Keneta, A Vaidyanathan, R Kanodia, A James, ...
2024 IEEE Conference on Artificial Intelligence (CAI), 747-754, 2024
122024
Planning swift maneuvers of quadcopter using motion primitives explored by reinforcement learning
E Camci, E Kayacan
2019 American Control Conference (ACC), 279-285, 2019
122019
Can deep models help a robot to tune its controller? A step closer to self-tuning model predictive controllers
M Mehndiratta, E Camci, E Kayacan
Electronics 10 (18), 2187, 2021
82021
An introduction of deep learning methods for sensing applications
K Wu, W Cui, NK Vuong, E Camci
Generalization With Deep Learning: For Improvement on Sensing Capability, 3-28, 2021
22021
Tethered multicopter guidance in GPS-denied environments through reinforcement learning
A Al-Radaideh, RA Selje, D Coraspe, E Camci, R Dutta, L Sun, ...
AIAA SCITECH 2023 Forum, 0507, 2023
12023
Bio-inspired classification and evolution of multirotor Micro Aerial Vehicles (MAVs): A comprehensive review
SW Hameed, N Imanberdiyev, E Camci, YW Yun, M Feroskhan
Robotics and Autonomous Systems, 104802, 2024
2024
Reinforcement learning based motion planning of quadrotors using motion primitives
E Camci
Nanyang Technological University, 2020
2020
Reconfigurable multi-rotor for high-precision physical interaction
J Taylor, N Imanberdiyev, MYM Chuah, WY Yau, G Sartoretti, E Camci
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