Mohit Mehndiratta
Mohit Mehndiratta
Sensible 4 Oy, Helsinki, Finland
Verified email at - Homepage
Cited by
Cited by
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-based fast nonlinear model predictive control for custom-made 3D printed ground and aerial robots
M Mehndiratta, E Kayacan, S Patel, E Kayacan, G Chowdhary
Handbook of Model Predictive Control, 581-605, 2019
Robust tracking control of aerial robots via a simple learning strategy-based feedback linearization
M Mehndiratta, E Kayacan, M Reyhanoglu, E Kayacan
Ieee Access 8, 1653-1669, 2019
Design and experimental validation of single input type-2 fuzzy PID controllers as applied to 3 DOF helicopter testbed
M Mehndiratta, E Kayacan, T Kumbasar
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1584-1591, 2016
Receding horizon control of a 3 DOF helicopter using online estimation of aerodynamic parameters
M Mehndiratta, E Kayacan
Proceedings of the institution of mechanical engineers, part G: Journal of …, 2018
A constrained instantaneous learning approach for aerial package delivery robots: onboard implementation and experimental results
M Mehndiratta, E Kayacan
Autonomous Robots 43 (8), 2209-2228, 2019
Gaussian process-based learning control of aerial robots for precise visualization of geological outcrops
M Mehndiratta, E Kayacan
2020 European control conference (ECC), 10-16, 2020
Online learning-based receding horizon control of tilt-rotor tricopter: A cascade implementation
M Mehndiratta, E Kayacan
2018 Annual American Control Conference (ACC), 6378-6383, 2018
Reconfigurable fault-tolerant nmpc for y6 coaxial tricopter with complete loss of one rotor
M Mehndiratta, E Kayacan
2018 IEEE conference on control technology and applications (CCTA), 774-780, 2018
Quadplus: design, modeling, and receding-horizon-based control of a hyperdynamic quadrotor
K Singh, M Mehndiratta, M Feroskhan
IEEE Transactions on Aerospace and Electronic Systems 58 (3), 1766-1779, 2021
A simple learning strategy for feedback linearization control of aerial package delivery robot
M Mehndiratta, E Kayacan, E Kayacan
2018 IEEE conference on control technology and applications (CCTA), 361-367, 2018
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
Fly without borders with additive manufacturing: A microscale tilt-rotor tricopter design
WYJ Lee, M Mehndiratta, E Kayacan
Receding horizon-based fault-tolerant control of quadplus: an over-actuated quadrotor
M Mehndiratta, K Singh, E Kayacan, M Feroskhan
2021 IEEE 17th International Conference on Automation Science and …, 2021
Fixed-wing vertical-takeoff-and-landing UAV with additive manufacturing: a dual-rotor version
R Gokhale, Y Wan, M Mehndiratta, E Kayacan
Numerical Investigation of gaussian filters with a combined type Bayesian filter for nonlinear state estimation
M Mehndiratta, A Prach, E Kayacan
IFAC-PapersOnLine 49 (18), 446-453, 2016
Adaptive Fuzzy Tuning Framework for Autonomous Vehicles: An Experimental Case Study
S Samokhin, M Mehndiratta, UZA Hamid, J Saarinen
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-5, 2021
Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection
A Amer, M Mehndiratta, J le Fevre Sejersen, HX Pham, E Kayacan
2023 21st International Conference on Advanced Robotics (ICAR), 431-438, 2023
Adopting Aviation Safety Knowledge into the Discussions of Safe Implementation of Connected and Autonomous Road Vehicles
UZA Hamid, M Mehndiratta, E Adali
SAE Technical Paper, 2021
Optimization-based learning control of aerial robots operating in uncertain environments
M Mehndiratta
Nanyang Technological University, 2020
The system can't perform the operation now. Try again later.
Articles 1–20