Arbaaz Khan

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 20

Top Topics

Subsumption Architecture

Inverse Kinematics

Motion Planning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Zeeshan Ahmed, Shahbaz Qamar Panhwar, Attiya Baqai, Fahim Aziz Umrani, Munawar Ahmed, Arbaaz Khan
Deep learning based automated detection of intraretinal cystoid fluid. Int. J. Imaging Syst. Technol. 32 (3) (2022)
Aftab Alam, Arbaaz Khan, Nikhat Imam, Mohd Faizan Siddiqui, Mohd Waseem, Md. Zubbair Malik, Romana Ishrat
Design of an epitope-based peptide vaccine against the SARS-CoV-2: a vaccine-informatics approach. Briefings Bioinform. 22 (2) (2021)
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
Large Scale Distributed Collaborative Unlabeled Motion Planning With Graph Policy Gradients. IEEE Robotics Autom. Lett. 6 (3) (2021)
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients. CoRR (2021)
Clark Zhang, Arbaaz Khan, Santiago Paternain, Alejandro Ribeiro
Sufficiently Accurate Model Learning. ICRA (2020)
Arbaaz Khan, Alejandro Ribeiro, Vijay Kumar, Anthony G. Francis
Graph Neural Networks for Motion Planning. CoRR (2020)
Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. IROS (2019)
Clark Zhang, Arbaaz Khan, Santiago Paternain, Vijay Kumar, Alejandro Ribeiro
Learning Task Agnostic Sufficiently Accurate Models. CoRR (2019)
Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar
Graph Policy Gradients for Large Scale Robot Control. CoRR (2019)
Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar
Graph Policy Gradients for Large Scale Robot Control. CoRL (2019)
Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. CoRR (2019)
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints. CoRR (2019)
Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee
Memory Augmented Control Networks. ICLR (Poster) (2018)
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
Learning Sample-Efficient Target Reaching for Mobile Robots. IROS (2018)
Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients. CoRR (2018)
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
Learning Sample-Efficient Target Reaching for Mobile Robots. CoRR (2018)
Steven W. Chen, Nikolay Atanasov, Arbaaz Khan, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar
Neural Network Memory Architectures for Autonomous Robot Navigation. CoRR (2017)
Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar
End-to-End Navigation in Unknown Environments using Neural Networks. CoRR (2017)
Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee
Memory Augmented Control Networks. CoRR (2017)
Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert
Robust Monocular Flight in Cluttered Outdoor Environments. CoRR (2016)