フォロー
Ahmed H. Qureshi
Ahmed H. Qureshi
確認したメール アドレス: purdue.edu - ホームページ
タイトル
引用先
引用先
Motion planning networks
AH Qureshi, A Simeonov, MJ Bency, MC Yip
2019 International Conference on Robotics and Automation (ICRA), 2118-2124, 2019
2952019
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
2532015
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 37 (1), 48-66, 2020
2442020
Potential functions based sampling heuristic for optimal path planning
AH Qureshi, Y Ayaz
Autonomous Robots 40, 1079-1093, 2016
2282016
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
1822018
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
1382016
Neural path planning: Fixed time, near-optimal path generation via oracle imitation
MJ Bency, AH Qureshi, MC Yip
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
952019
Deeply informed neural sampling for robot motion planning
AH Qureshi, MC Yip
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
872018
Adversarial Imitation via Variational Inverse Reinforcement Learning
AH Qureshi, B Boots, MC Yip
International Conference on Learning Representations (ICLR 2019), 2018
862018
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
772018
Nerp: Neural rearrangement planning for unknown objects
AH Qureshi, A Mousavian, C Paxton, MC Yip, D Fox
arXiv preprint arXiv:2106.01352, 2021
762021
MPC-MPNet: Model-predictive motion planning networks for fast, near-optimal planning under kinodynamic constraints
L Li, Y Miao, AH Qureshi, MC Yip
IEEE Robotics and Automation Letters 6 (3), 4496-4503, 2021
612021
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
602013
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
432017
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
39*2013
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
38*2019
Constrained motion planning networks x
AH Qureshi, J Dong, A Baig, MC Yip
IEEE Transactions on Robotics 38 (2), 868-886, 2021
362021
Neural manipulation planning on constraint manifolds
AH Qureshi, J Dong, A Choe, MC Yip
IEEE Robotics and Automation Letters 5 (4), 6089-6096, 2020
342020
Dynamically constrained motion planning networks for non-holonomic robots
JJ Johnson, L Li, F Liu, AH Qureshi, MC Yip
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
322020
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
252014
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