| Deep reinforcement learning robot for search and rescue applications: Exploration in unknown cluttered environments F Niroui, K Zhang, Z Kashino, G Nejat IEEE Robotics and Automation Letters 4 (2), 610-617, 2019 | 315 | 2019 |
| Robot navigation of environments with unknown rough terrain using deep reinforcement learning K Zhang, F Niroui, M Ficocelli, G Nejat 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2018 | 76 | 2018 |
| A sim-to-real pipeline for deep reinforcement learning for autonomous robot navigation in cluttered rough terrain H Hu, K Zhang, AH Tan, M Ruan, C Agia, G Nejat IEEE Robotics and Automation Letters 6 (4), 6569-6576, 2021 | 62 | 2021 |
| Methods for generating multiple mismatched coded excitation signals B Lashkari, A Mandelis, K Zhang US Patent 10,092,192, 2018 | 45 | 2018 |
| Zeus: A system description of the two‐time winner of the collegiate SAE autodrive competition K Burnett, J Qian, X Du, L Liu, DJ Yoon, T Shen, S Sun, S Samavi, ... Journal of Field Robotics 38 (1), 139-166, 2021 | 22 | 2021 |
| High-frame-rate synthetic aperture ultrasound imaging using mismatched coded excitation waveform engineering: A feasibility study B Lashkari, K Zhang, A Mandelis IEEE transactions on ultrasonics, ferroelectrics, and frequency control 63 …, 2016 | 18 | 2016 |
| Using deep learning to find victims in unknown cluttered urban search and rescue environments A Fung, LY Wang, K Zhang, G Nejat, B Benhabib Current Robotics Reports 1, 105-115, 2020 | 12 | 2020 |
| Coded excitation waveform engineering for high frame rate synthetic aperture ultrasound imaging B Lashkari, K Zhang, E Dovlo, A Mandelis Ultrasonics 77, 121-132, 2017 | 9 | 2017 |
| Autonomous Mobile Robot Navigation in 3D Rough Terrain Using Deep Reinforcement Learning K Zhang University of Toronto (Canada), 2020 | 1 | 2020 |
Goldie NejatProfessor, Canada Research Chair in Robots for Society, University of TorontoVerified email at mie.utoronto.ca
