Bo Shang

Bo Shang

Post Doctoral Fellow at CCNY, software developer for inspection robots.

Posts by Collection

portfolio

publications

Research on remote image/data transmission based on TCP/IP protocol

Published in Mechanical & Electrical Engineering Magazine, 2011

This study investigates remote image and data transmission techniques based on the TCP/IP protocol for mechanical and electrical engineering applications.

Recommended citation: Gao, C., Wu, C., Zhang, Y., Shang, B., Meng, T. (2011). "Research on remote image/data transmission based on TCP/IP protocol." *Mechanical & Electrical Engineering Magazine*.

Design of point to multi-point wireless communication system based on ZigBee

Published in WiCOM2011 (International Conference on Wireless Communications, Networking and Mobile Computing), 2011

This paper describes the design of a point-to-multipoint wireless communication system utilizing ZigBee technology.

Recommended citation: Meng, T., Wu, C., Shang, B., Gao, C., Zhang, Y. (2011). "Design of point to multi-point wireless communication system based on ZigBee." *WiCOM2011 (International Conference on Wireless Communications, Networking and Mobile Computing)*.

A Data/Image Transmission Device Based on TCP/IP Protocol

Published in WiCOM2012 (International Conference on Wireless Communications, Networking and Mobile Computing), 2012

This research presents a novel device for data and image transmission based on the TCP/IP protocol, enhancing wireless communication capabilities.

Recommended citation: Shang, B., Wu, C., Meng, T., Gao, C., Zhang, Y. (2012). "A Data/Image Transmission Device Based on TCP/IP Protocol." *WiCOM2012 (International Conference on Wireless Communications, Networking and Mobile Computing)*.

An Algorithm of Visual Reconnaissance Path Planning for UAVs in Complex Spaces

Published in Journal of Computational Information Systems, 2014

This paper proposes an algorithm for visual reconnaissance path planning, designed to guide UAVs through complex spatial environments.

Recommended citation: Shang, B., Wu, C., Hu, Y., Yang, J. (2014). "An Algorithm of Visual Reconnaissance Path Planning for UAVs in Complex Spaces." *Journal of Computational Information Systems*.

Fractional order robust visual servoing control of a quadrotor UAV with larger sampling period

Published in 2016 International Conference on Unmanned Aircraft Systems (ICUAS), 2016

This study presents a fractional order robust visual servoing control system for quadrotor UAVs, capable of operating with larger sampling periods.

Recommended citation: Shang, B., Liu, J., Zhao, T. and Chen, Y. (2016). "Fractional order robust visual servoing control of a quadrotor UAV with larger sampling period." *2016 International Conference on Unmanned Aircraft Systems (ICUAS)*.

Analysis of Maximum Possible Sampling Period for a Real-Time Vision-Based Control System

Published in ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2017

This research analyzes the maximum possible sampling period for real-time vision-based control systems, providing insights for system design and optimization.

Recommended citation: Shang, B., et al. (2017). "Analysis of Maximum Possible Sampling Period for a Real-Time Vision-Based Control System." *ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference*.

SmartCaveDrone: 3D cave mapping using UAVs as robotic co-archaeologists

Published in 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 2017

This paper introduces SmartCaveDrone, a system utilizing UAVs for 3D cave mapping to assist in archaeological research.

Recommended citation: Zhang, G., Shang, B., Chen, Y., & Moyes, H. (2017). "SmartCaveDrone: 3D cave mapping using UAVs as robotic co-archaeologists." *2017 International Conference on Unmanned Aircraft Systems (ICUAS)*.

Fractional Order Flight Control of Quadrotor UAS: an OS4 Benchmark Environment and a Case Study

Published in International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018

This study explores fractional order flight control for quadrotor UAS using the OS4 benchmark environment, presenting a detailed case study.

Recommended citation: Shang, B., Zhang, Y., Wu, C., Chen, Y. (2018). "Fractional Order Flight Control of Quadrotor UAS: an OS4 Benchmark Environment and a Case Study." *International Conference on Control, Automation, Robotics and Vision (ICARCV)*.

Fractional Order Flight Control of Quadrotor UAS: A Simscape Benchmark Environment and A Case Study

Published in 2018 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 2018

This paper presents a Simscape benchmark environment for fractional order flight control of quadrotor UAS, along with a comprehensive case study.

Recommended citation: Shang, B., Wu, C., Zhang, Y., Chen, Y. (2018). "Fractional Order Flight Control of Quadrotor UAS: A Simscape Benchmark Environment and A Case Study." *2018 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)*.

Fractional Order Flight Control of Quadrotor UAS on Vision-based Precision Hovering with Larger Sampling Period

Published in Nonlinear Dynamics, 2019

This paper introduces a fractional order flight control system for quadrotor UAS, enabling precision hovering with extended sampling periods using vision-based techniques.

Recommended citation: Shang, B., Liu, J., Zhang, Y., Wu, C., Chen, Y. (2019). "Fractional Order Flight Control of Quadrotor UAS on Vision-based Precision Hovering with Larger Sampling Period." *Nonlinear Dynamics*.

Neighborhood optimization method for shaping Bode plot with larger phase margin

Published in ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), 2019

This research presents a neighborhood optimization method for shaping Bode plots to achieve larger phase margins in control system design.

Recommended citation: Shang, B., Wu, C., Chen, Y. (2019). "Neighborhood optimization method for shaping Bode plot with larger phase margin." *ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE)*.

Bridge Inspection Robot Deployment Systems (BIRDS) Prototype II

Published in INSPIRE-UTC 2020 Annual Meeting, 2020

This study presents the development and features of the second prototype of Bridge Inspection Robot Deployment Systems (BIRDS).

Recommended citation: Reven, A., Jiao, P., Shang, B., Chen, G. (2020). "Bridge Inspection Robot Deployment Systems (BIRDS) Prototype II." *INSPIRE-UTC 2020 Annual Meeting*.

Clamping Design for Bridge Inspection Robot Deployment Systems (BIRDS) Prototype II

Published in INSPIRE-UTC 2020 Annual Meeting, 2020

This paper details the clamping mechanism design for the second prototype of Bridge Inspection Robot Deployment Systems (BIRDS).

Recommended citation: Reven, A., Jiao, P., Shang, B., Chen, G. (2020). "Clamping Design for Bridge Inspection Robot Deployment Systems (BIRDS) Prototype II." *INSPIRE-UTC 2020 Annual Meeting*.

Vision-Based Non-GPS UAV Guidance for Bridge Inspection

Published in INSPIRE-UTC 2020 Annual Meeting, 2020

This research proposes a vision-based guidance system for UAVs to perform bridge inspections without relying on GPS.

Recommended citation: Shang, B., Reven, A., Jiao, P., Li, B., Chen, G. (2020). "Vision-Based Non-GPS UAV Guidance for Bridge Inspection." *INSPIRE-UTC 2020 Annual Meeting*.

Drone vision-based clamping strategy for bridge inspection

Published in INSPIRE-UTC 2021 Annual Meeting, 2021

This paper presents a novel clamping strategy for bridge inspection drones based on computer vision techniques.

Recommended citation: Shang, B., Li, L., Jiao, P., Cardona Huerta, R., Ressel, J., Rawlings, A., Scharfenberg, B., and Chen, G. (2021). "Drone vision-based clamping strategy for bridge inspection." *INSPIRE-UTC 2021 Annual Meeting*.

Development of Bridge Inspection Robot Deployment Systems (BIRDS)

Published in 8th World Conference on Structural Control and Monitoring (8WCSCM), 2022

This paper details the development of robotic systems for efficient and safe bridge inspection processes.

Recommended citation: Shang, B., Li, L., Shi, Z., Reven, A., Jiao, P., Li, B., and Chen, G. (2022). "Development of Bridge Inspection Robot Deployment Systems (BIRDS)." *8th World Conference on Structural Control and Monitoring (8WCSCM)*.

Delamination detection of concrete bridge slab through UAV-based thermal scanning

Published in 8th World Conference on Structural Control and Monitoring (8WCSCM), 2022

This study demonstrates the use of UAV-based thermal scanning for detecting delamination in concrete bridge slabs.

Recommended citation: Zhang, H., Jiao, P., Li, L., Shi, Z., Shang, B., Chen, G. (2022). "Delamination detection of concrete bridge slab through UAV-based thermal scanning." *8th World Conference on Structural Control and Monitoring (8WCSCM)*.

Mixed Reality Enabled Digital Twin for Robot-assisted Bridge element Inspection and maintenance

Published in 8th World Conference on Structural Control and Monitoring (8WCSCM), 2022

This research explores the integration of mixed reality and digital twin technologies for enhancing robot-assisted bridge inspection and maintenance.

Recommended citation: Li, L., Chen, G., Shang, B. (2022). "Mixed Reality Enabled Digital Twin for Robot-assisted Bridge element Inspection and maintenance." *8th World Conference on Structural Control and Monitoring (8WCSCM)*.

Evaluation of User-friendliness of Several UASs in Bridge Inspection

Published in 8th World Conference on Structural Control and Monitoring (8WCSCM), 2022

This paper evaluates and compares the user-friendliness of various Unmanned Aerial Systems (UASs) in the context of bridge inspection.

Recommended citation: Shi, Z., Shang, B., Zhang, H., Li, L., Chen, G. (2022). "Evaluation of User-friendliness of Several UASs in Bridge Inspection." *8th World Conference on Structural Control and Monitoring (8WCSCM)*.

The ceiling effect and flight insight of unmanned aerial vehicles during proximity inspection of bridges via computational fluid dynamics modeling and simulations

Published in 13th International Workshop on Structural Health Monitoring, 2022

This study investigates the ceiling effect on UAVs during bridge inspections using computational fluid dynamics modeling and simulations.

Recommended citation: Jiao, P., Shang, B., Li, L., and Chen, G. (2022). "The ceiling effect and flight insight of unmanned aerial vehicles during proximity inspection of bridges via computational fluid dynamics modeling and simulations." *13th International Workshop on Structural Health Monitoring*.

Hardware-in-the-loop and Digital Twin Enabled Autonomous Robotics-assisted Environment Inspection

Published in 6th International Symposium on Autonomous Systems (ISAS), 2023

This paper explores the integration of hardware-in-the-loop and digital twin technologies for enhancing autonomous robotics-assisted environmental inspections.

Recommended citation: Li, L., Shang, B., Jayawardana, I. and Chen, G. (2023). "Hardware-in-the-loop and Digital Twin Enabled Autonomous Robotics-assisted Environment Inspection." *6th International Symposium on Autonomous Systems (ISAS)*.

Robot-assisted, Remote Nondestructive Testing and Evaluation (rNDT&E)

Published in Material Design, 2023

This research presents a novel approach to remote nondestructive testing and evaluation using robot-assisted technologies.

Recommended citation: Chen, G., Li, L., Zhang, H., Shi, Z., Shang, B., Edwards, D., McDonald, D., Manzambi, R., and Ressel, J. (2023). "Robot-assisted, Remote Nondestructive Testing and Evaluation (rNDT&E)." *Material Design*.

Contrastive Learning for Robust Impact Echo Defect Mapping

Published in Automation in Construction, 2024

This study introduces a contrastive learning method to enhance the robustness of impact echo defect mapping in construction automation.

Recommended citation: Hoxha, E., Feng, J., Kirakosian, D., Gjinofci, A., He, Y., Shang, B., Sengupta, A. and Xiao, J. (2024). "Contrastive Learning for Robust Impact Echo Defect Mapping." *Automation in Construction*.

Robotic Inspection and Data Analytics to Localize and Visualize the Structural Defects of Concrete Infrastructure

Published in IEEE Transactions on Automation Science and Engineering, 2024

This paper presents an innovative approach combining robotic inspection and data analytics for efficient detection and visualization of structural defects in concrete infrastructure.

Recommended citation: Shang, B. et al. (2024). "Robotic Inspection and Data Analytics to Localize and Visualize the Structural Defects of Concrete Infrastructure." *IEEE Transactions on Automation Science and Engineering*.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.