Chengchao Bai

Orcid: 0000-0002-0349-9869

According to our database1, Chengchao Bai authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion.
IEEE Trans. Cybern., January, 2024

2023
Spatiotemporal Relationship Cognitive Learning for Multirobot Air Combat.
IEEE Trans. Cogn. Dev. Syst., December, 2023

Adaptive Hybrid Optimization Learning-Based Accurate Motion Planning of Multi-Joint Arm.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Wavefront Coding Based Strong Backlight Target Detection.
Proceedings of the 29th International Conference on Mechatronics and Machine Vision in Practice, 2023

A New Method Combining Single-Point Push and Double-Point Complete Push for Partially Observable Scenarios.
IROS, 2023

2022
A Multi-Level Movement Intention Inference Approach for an Urban Evasive Target With Unknowable Destinations.
IEEE Trans. Veh. Technol., 2022

Learning-Based Multi-Robot Formation Control With Obstacle Avoidance.
IEEE Trans. Intell. Transp. Syst., 2022

Hyperspectral Image Classification via Spectral Pooling and Hybrid Transformer.
Remote. Sens., 2022

Learning-based resilience guarantee for multi-UAV collaborative QoS management.
Pattern Recognit., 2022

2021
Searching and Tracking an Unknown Number of Targets: A Learning-Based Method Enhanced with Maps Merging.
Sensors, 2021

Deep Reinforcement Learning-Based Accurate Control of Planetary Soft Landing.
Sensors, 2021

Reinforcement Learning-Based Collision Avoidance Guidance Algorithm for Fixed-Wing UAVs.
Complex., 2021

2020
Optimal Guidance for Planetary Landing in Hazardous Terrains.
IEEE Trans. Aerosp. Electron. Syst., 2020

2019
Deep Multi-Layer Perception Based Terrain Classification for Planetary Exploration Rovers.
Sensors, 2019

Uncertainty-Based Vibration/Gyro Composite Planetary Terrain Mapping.
Sensors, 2019

Three-Dimensional Vibration-Based Terrain Classification for Mobile Robots.
IEEE Access, 2019


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