Efe Camci
Efe Camci
Research Scientist, A*STAR Institute for Infocomm Research
Verified email at ntu.edu.sg
Cited by
Cited by
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
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
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 (3-4), 387-401, 2018
Waitress quadcopter explores how to serve drinks by reinforcement learning
E Camci, E Kayacan
2016 IEEE region 10 conference (TENCON), 28-32, 2016
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
arXiv preprint arXiv:1904.02579, 2019
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
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
Learning motion primitives for planning swift maneuvers of quadrotor
E Camci, E Kayacan
Autonomous Robots 43 (7), 1733-1745, 2019
Planning swift maneuvers of quadcopter using motion primitives explored by reinforcement learning
E Camci, E Kayacan
2019 American Control Conference (ACC), 279-285, 2019
Reinforcement learning based motion planning of quadrotors using motion primitives
E Camci
Nanyang Technological University, 2020
End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning
E Camci, E Kayacan
arXiv preprint arXiv:1909.13599, 2019
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