Zhenshan Bing

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代表论文

1. 1
   A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks

   180 次引用 · 2018
2. 2
   End to End Learning of Spiking Neural Network Based on R-STDP for a Lane Keeping Vehicle

   78 次引用 · 2018
3. 3
   Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments

   63 次引用 · 2022
4. 4
   Towards autonomous locomotion: CPG-based control of smooth 3D slithering gait transition of a snake-like robot

   56 次引用 · 2017
5. 5
   Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning

   55 次引用 · 2020
6. 6
   Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle

   49 次引用 · 2019
7. 7
   Solving Robotic Manipulation With Sparse Reward Reinforcement Learning Via Graph-Based Diversity and Proximity

   44 次引用 · 2022
8. 8
   An Adaptive Approach to Whole-Body Balance Control of Wheel-Bipedal Robot Ollie

   41 次引用 · 2022
9. 9
   Motion planning for robotics: A review for sampling-based planners

   41 次引用 · 2025
10. 10
    Supervised Learning in SNN via Reward-Modulated Spike-Timing-Dependent Plasticity for a Target Reaching Vehicle

    41 次引用 · 2019

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