| Neural network based hybrid force/position control for robot manipulators N Kumar, V Panwar, N Sukavanam, SP Sharma, JH Borm International Journal of Precision Engineering and Manufacturing 12 (3), 419-426, 2011 | 105 | 2011 |
| Adaptive neural controller for cooperative multiple robot manipulator system manipulating a single rigid object V Panwar, N Kumar, N Sukavanam, JH Borm Applied Soft Computing 12 (1), 216-227, 2012 | 88 | 2012 |
| Neural network-based nonlinear tracking control of kinematically redundant robot manipulators N Kumar, V Panwar, N Sukavanam, SP Sharma, JH Borm Mathematical and Computer Modelling 53 (9), 1889-1901, 2011 | 86 | 2011 |
| An efficient hybrid approach for trajectory tracking control of autonomous underwater vehicles N Kumar, M Rani Applied Ocean Research 95, 102053, 2020 | 38 | 2020 |
| Adaptive neural controller for space robot system with an attitude controlled base N Kumar, V Panwar, JH Borm, J Chai, J Yoon Neural Computing and Applications 23 (7-8), 2333-2340, 2013 | 36 | 2013 |
| Reliability analysis of waste clean-up manipulator using genetic algorithms and fuzzy methodology N Kumar, JH Borm, A Kumar Computers & Operations Research 39 (2), 310-319, 2012 | 35 | 2012 |
| Neural network-based hybrid force/position control of constrained reconfigurable manipulators N Kumar, M Rani Neurocomputing 420, 1-14, 2021 | 32 | 2021 |
| Tracking control of redundant robot manipulators using RBF neural network and an adaptive bound on disturbances N Kumar, JH Borm, V Panwar, J Chai International Journal of Precision Engineering and Manufacturing 13 (8 …, 2012 | 30 | 2012 |
| Reliability analysis of complex robotic system using Petri nets and fuzzy lambda‐tau methodology SP Sharma, N Sukavanam, N Kumar, A Kumar Engineering Computations 27 (3), 354-364, 2010 | 29 | 2010 |
| Intelligent controller for hybrid force and position control of robot manipulators using RBF neural network K Rani, N Kumar International Journal of Dynamics and Control 7 (2), 767-775, 2019 | 25 | 2019 |
| Finite time control scheme for robot manipulators using fast terminal sliding mode control and RBFNN N Kumar International Journal of Dynamics and Control 7 (2), 758-766, 2019 | 24 | 2019 |
| Enhancing precision performance of trajectory tracking controller for robot manipulators using RBFNN and adaptive bound N Kumar, V Panwar, JH Borm, J Chai Applied Mathematics and Computation 231, 320-328, 2014 | 22 | 2014 |
| Efficient position/force control of constrained mobile manipulators M Rani, N Kumar, HP Singh International Journal of Dynamics and Control 6 (4), 1629-1638, 2018 | 21 | 2018 |
| Design of intelligent hybrid force and position control of robot manipulator K Rani, N Kumar Procedia Computer Science 125, 42-49, 2018 | 21 | 2018 |
| Design and simulation of a 3D actuation system for magnetic nano-particles delivery system M Dadkhah, N Kumar, J Yoon Intelligent Robotics and Applications: 6th International Conference, ICIRA …, 2013 | 19 | 2013 |
| A new hybrid position/force control scheme for coordinated multiple mobile manipulators M Rani, N Kumar Arabian Journal for Science and Engineering 44, 2399-2411, 2019 | 17 | 2019 |
| Motion/force control scheme for electrically driven cooperative multiple mobile manipulators M Rani, N Kumar, HP Singh Control Engineering Practice 88, 52-64, 2019 | 14 | 2019 |
| Neural network control of coordinated multiple manipulator systems N Kumar, V Panwar, N Sukavanam 2007 International Conference on Computing: Theory and Applications (ICCTA …, 2007 | 14 | 2007 |
| Adaptive neural controller for visual servoing of robot manipulators with camera-in-hand configuration J Kim, N Kumar, V Panwar, JH Borm, J Chai Journal of Mechanical Science and Technology 26 (8), 2313-2323, 2012 | 13 | 2012 |
| A new hybrid force/position control approach for time-varying constrained reconfigurable manipulators N Kumar, M Rani ISA transactions 110, 138-147, 2021 | 10 | 2021 |
Vikas PanwarDepartment of Applied Mathematics, Gautam Buddha University Greater NoidaVerified email at gbu.ac.in
