Ahmed Hussain Qureshi
Cited by
Cited by
Robot gains social intelligence through multimodal deep reinforcement learning
AH Qureshi, Y Nakamura, Y Yoshikawa, H Ishiguro
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments
AH Qureshi, Y Ayaz
Robotics and Autonomous Systems 68, 1-11, 2015
Motion planning networks
AH Qureshi, A Simeonov, MJ Bency, MC Yip
2019 International Conference on Robotics and Automation (ICRA), 2118-2124, 2019
Potential functions based sampling heuristic for optimal path planning
AH Qureshi, Y Ayaz
Autonomous Robots 40 (6), 1079-1093, 2016
Potential guided directional-RRT* for accelerated motion planning in cluttered environments
AH Qureshi, KF Iqbal, SM Qamar, F Islam, Y Ayaz, N Muhammad
2013 IEEE International Conference on Mechatronics and Automation, 519-524, 2013
Potentially guided bidirectionalized RRT* for fast optimal path planning in cluttered environments
Z Tahir, AH Qureshi, Y Ayaz, R Nawaz
Robotics and Autonomous Systems 108, 13-27, 2018
Show, attend and interact: Perceivable human-robot social interaction through neural attention Q-network
AH Qureshi, Y Nakamura, Y Yoshikawa, H Ishiguro
Robotics and Automation (ICRA), 2017 IEEE International Conference on, 1639 …, 2017
Adversarial Imitation via Variational Inverse Reinforcement Learning
AH Qureshi, B Boots, MC Yip
International Conference on Learning Representations (ICLR 2019), 2018
Intrinsically motivated reinforcement learning for human–robot interaction in the real-world
AH Qureshi, Y Nakamura, Y Yoshikawa, H Ishiguro
Neural Networks 107, 23-33, 2018
APGD-RRT*: Adaptive potential guided directional-RRT*
AH Qureshi, S Mumtaz, KF Iqbal, B Ali, Y Ayaz, F Ahmed, MS Muhammad, ...
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on …, 2013
Neural path planning: Fixed time, near-optimal path generation via oracle imitation
MJ Bency, AH Qureshi, MC Yip
arXiv preprint arXiv:1904.11102, 2019
Deeply informed neural sampling for robot motion planning
AH Qureshi, MC Yip
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Triangular geometry based optimal motion planning using RRT*-motion planner
AH Qureshi, S Mumtaz, KF Iqbal, Y Ayaz, MS Muhammad, O Hasan, ...
2014 IEEE 13th International Workshop on Advanced Motion Control (AMC), 380-385, 2014
Human tracking by a mobile robot using 3D features
B Ali, AH Qureshi, KF Iqbal, Y Ayaz, SO Gilani, M Jamil, N Muhammad, ...
2013 IEEE international conference on robotics and biomimetics (ROBIO), 2464 …, 2013
Motion planning networks: Bridging the gap between learning-based and classical motion planners
AH Qureshi, Y Miao, A Simeonov, MC Yip
IEEE Transactions on Robotics, 2020
Composing Task-Agnostic Policies with Deep Reinforcement Learning
AH Qureshi, JJ Johnson, Y Qin, B Boots, MC Yip
International Conference on Learning Representations (ICLR 2020), 2019
Collaborative optimal reciprocal collision avoidance for mobile robots
SA Khan, MJ Yasar Ayaz, SO Gillani, M Naveed, AH Qureshi, KF Iqbal
International Journal of Control and Automation 8 (8), 203-212, 2015
TG-RRT*: Triangular geometrized sampling heuristics for fast optimal motion planning
AH Qureshi, S Mumtaz, Y Ayaz, O Hasan, MS Muhammad, MT Mahmood
International Journal of Advanced Robotic Systems 12, 2015
Re-planning using delaunay triangulation for real time motion planning in complex dynamic environments
AH Qureshi, Z Tahir, G Tariq, Y Ayaz
2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2018
Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots
JJ Johnson, L Li, F Liu, AH Qureshi, MC Yip
arXiv preprint arXiv:2008.05112, 2020
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