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  1. No Access

    Chapter

    Introduction

    This chapter introduces the background and challenges of the collaborative multi-vehicle fleet maneuvering problem. The objectives and structure of this book are introduced as well.

    Yuanzhe Wang, Danwei Wang in Collaborative Fleet Maneuvering for Multip… (2023)

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    Chapter

    Conclusion

    In this chapter, we summarize this book and discuss open challenges in the field.

    Yuanzhe Wang, Danwei Wang in Collaborative Fleet Maneuvering for Multip… (2023)

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    Chapter

    Anchor-Based Flexible Fleet Maneuvering in Open Environments

    A common application of multi-UGV systems is fleet transportation in open environments. This chapter introduces a solution to this problem. Firstly, an anchor-based positioning technology is developed to local...

    Yuanzhe Wang, Danwei Wang in Collaborative Fleet Maneuvering for Multip… (2023)

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    Chapter

    Vision-Based Leader-Follower Queue Maneuvering in Unknown Cluttered Environments

    Some applications may require vehicles to operate in unknown cluttered environments, where a prebuilt map is not available. As such, map-based localization technologies introduced in Chap. 4 cannot be used. Mo...

    Yuanzhe Wang, Danwei Wang in Collaborative Fleet Maneuvering for Multip… (2023)

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    Chapter

    Map Matching Based Leader-Follower Path Retracing in Infrastructure-Free Environments

    This chapter revisits the fleet maneuvering problem for multi-UGV systems without localization infrastructures. The approaches introduced in the previous two chapters both use vision-based techniques to achiev...

    Yuanzhe Wang, Danwei Wang in Collaborative Fleet Maneuvering for Multip… (2023)

  6. No Access

    Book

  7. No Access

    Chapter

    Technical Background

    This chapter provides the technical background of the collaborative fleet maneuvering problem. The basic knowledge of vehicle model and fleet configuration is introduced. Main approaches on topics related to f...

    Yuanzhe Wang, Danwei Wang in Collaborative Fleet Maneuvering for Multip… (2023)

  8. No Access

    Chapter

    Map-Based Virtual-Structure Fleet Maneuvering in Cluttered Environments

    Some practical applications have a specific working environment that remains almost unchanged over time, and do not allow installation of localization hardware. In such applications, a good choice is to genera...

    Yuanzhe Wang, Danwei Wang in Collaborative Fleet Maneuvering for Multip… (2023)

  9. No Access

    Chapter

    Vision-Based Flexible Fleet Maneuvering in Unknown Cluttered Environments

    The previous chapter introduces a vision-based leader-follower queue maneuvering approach for multi-UGV systems moving in unknown cluttered environments. The introduced approach aims to construct a queue confi...

    Yuanzhe Wang, Danwei Wang in Collaborative Fleet Maneuvering for Multip… (2023)

  10. No Access

    Chapter

    Multi-UAV Optimal Fleet Flying for Air Patrol in Constrained Environments

    The previous five chapters all discuss the fleet maneuvering problem of ground vehicles. With the proliferation of aerial vehicles in recent years, UAV fleet flying has become popular with numerous application...

    Yuanzhe Wang, Danwei Wang in Collaborative Fleet Maneuvering for Multip… (2023)

  11. No Access

    Article

    Real-time normal contact force control for robotic surface processing of workpieces without a priori geometric model

    Utilizing industrial robots to perform contact manufacturing with constant force attracts widespread attention nowadays. However, it is still challenging to control the constant normal contact force on complex...

    Jian Li, Yisheng Guan, Haowen Chen in The International Journal of Advanced Manu… (2022)

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    Chapter

    All-Weather Collaborative Map** with Dynamic Objects

    Enabling long-term operation during day and night for collaborative robots requires a comprehensive understanding of the unstructured environment. Besides, in the dynamic environment, robots must be able to re...

    Yufeng Yue, Danwei Wang in Collaborative Perception, Localization and… (2021)

  13. No Access

    Chapter

    Conclusions

    This book aims to develop systematic framework for collaborative perception, localization and map** for multiple robots. The book provides comprehensive theoretical formulations, algorithmic development, and...

    Yufeng Yue, Danwei Wang in Collaborative Perception, Localization and… (2021)

  14. No Access

    Chapter

    Introduction

    In the field of robotics and artificial intelligence, autonomous robot has been a highly active research area, which enables a robot to perform behaviors with a high degree of autonomy. With the continuing dev...

    Yufeng Yue, Danwei Wang in Collaborative Perception, Localization and… (2021)

  15. No Access

    Chapter

    Point Registration Approach for Map Fusion

    One of the major challenges in multi-robot collaboration is to fuse the partial maps generated by individual robots into a consistent global map. We address 3D volumetric map fusion by extending the well known...

    Yufeng Yue, Danwei Wang in Collaborative Perception, Localization and… (2021)

  16. No Access

    Chapter

    Technical Background

    In this chapter, an extensive survey related to existing approaches of collaborative perception, localization and map** is provided. Among these solutions, estimating relative transformation, integrating the...

    Yufeng Yue, Danwei Wang in Collaborative Perception, Localization and… (2021)

  17. No Access

    Chapter

    Hierarchical Map Fusion Framework with Homogeneous Sensors

    Fusing 3-D maps generated by multiple robots in real/semi-real time distributed map** systems are addressed in this paper. A 3-D occupancy grid-based approach for map** is utilized to satisfy the real/semi...

    Yufeng Yue, Danwei Wang in Collaborative Perception, Localization and… (2021)

  18. No Access

    Chapter

    Collaborative 3D Map** Using Heterogeneous Sensors

    Operating multiple robots in an unstructured environment is challenging due to its high complexity and uncertainty. In such applications, the integration of individual maps generated by heterogeneous sensors i...

    Yufeng Yue, Danwei Wang in Collaborative Perception, Localization and… (2021)

  19. No Access

    Chapter

    Collaborative Probabilistic Semantic Map** Using CNN

    Performing collaborative semantic map** is a critical challenge for cooperative robots to enhance their comprehensive contextual understanding of the surroundings. The chapter bridges the gap between the adv...

    Yufeng Yue, Danwei Wang in Collaborative Perception, Localization and… (2021)

  20. Article

    Open Access

    Obesity-induced overexpression of miR-802 impairs insulin transcription and secretion

    B cell dysfunction due to obesity can be associated with alterations in the levels of micro-RNAs (miRNAs). However, the role of miRNAs in these processes remains elusive. Here, we show that miR-802 is increased i...

    Fangfang Zhang, Dongshen Ma, Wanli Zhao, Danwei Wang in Nature Communications (2020)

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