Zhengcheng Shen
According to our database1,
Zhengcheng Shen
authored at least 14 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
Odometry-Less Indoor Dynamic Object Detection and Localization with Spatial Anticipation.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024
2023
A Hybrid Hierarchical Navigation Architecture for Highly Dynamic Environments Using Time-Space Optimization.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023
2022
Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022
Human-Following and -guiding in Crowded Environments using Semantic Deep-Reinforcement-Learning for Mobile Service Robots.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Obstacle-aware Waypoint Generation for Long-range Guidance of Deep-Reinforcement-Learning-based Navigation Approaches.
CoRR, 2021
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators.
CoRR, 2021
Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems.
CoRR, 2021
Autonomous Navigation in Complex Environments using Memory-Aided Deep Reinforcement Learning.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021