Hari Teja Kalidindi
Hari Teja Kalidindi
Institute of Neuroscience, UC Louvain
Verified email at uclouvain.be
Cited by
Cited by
Optimal task planning of humanoid in cluttered environment
H Teja, A Balachandran, SV Shah
International Design Engineering Technical Conferences and Computers and …, 2016
Cerebellum-inspired approach for adaptive kinematic control of soft robots
HT Kalidindi, TG Thuruthel, C Laschi, E Falotico
2019 2nd IEEE International Conference on Soft Robotics (RoboSoft), 684-689, 2019
Optimal whole body motion planning of humanoid with articulated spine for object manipulation in double support phase
KH Teja, F James, SV Shah
Proceedings of the 2015 Conference on Advances In Robotics, 1-6, 2015
Cerebellar adaptive mechanisms explain the optimal control of saccadic eye movements
HT Kalidindi, L Vannucci, C Laschi, E Falotico
Bioinspiration & Biomimetics 16 (1), 016004, 2020
Rotational dynamics in motor cortex are consistent with a feedback controller
HT Kalidindi*, KP Cross*, TP Lillicrap, M Omrani, E Falotico, PN Sabes, ...
bioRxiv, 2020
Modeling the encoding of saccade kinematic metrics in the Purkinje cell layer of the cerebellar vermis
HT Kalidindi, T George Thuruthel, C Laschi, E Falotico
Frontiers in computational neuroscience 12, 108, 2019
A Learning-based Approach for Adaptive Closed-loop Control of a Soft Robotic Arm
F Piqué, HT Kalidindi, A Menciassi, C Laschi, E Falotico
Proceedings of the I-RIM 3D Conference, online, 10-12, 2020
Optimal whole-body motion planning of humanoids in cluttered environments
HT K, A Balachandran, SV Shah
Robotics and Autonomous Systems 118, 263-277, 2019
Learning inverse kinematic solutions of redundant manipulators using multiple internal models
H Teja, S Shah
2016 6th IEEE International Conference on Biomedical Robotics and …, 2016
Neurorobotics: Motor control principles for robots
E Falotico, HT Kalidindi
Neurorobotics: Motor control principles for robots, 243-263, 2020
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