Motion Planning of Mobile Robots for Autonomous Navigation on Uneven Ground Surfaces-Reference-Cited by-同舟云学术

Motion Planning of Mobile Robots for Autonomous Navigation on Uneven Ground Surfaces

Published:2021-05 Issue:3 Volume:35 Page:04021001
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Jeong Inbae¹^ORCID,Jang Youjin²^ORCID,Park Jisoo³,Cho Yong K.⁴^ORCID

Affiliation:

1. Assistant Professor, Dept. of Mechanical Engineering, North Dakota State Univ., Fargo, ND 58108. ORCID: .

2. Assistant Professor, Dept. of Construction Management and Engineering, North Dakota State Univ., Fargo, ND 58108. ORCID: .

3. Postdoctoral Research Fellow, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332 (corresponding author).

4. Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000963

Reference23 articles.

1. A Comparative Study of Different Approaches for Finding the Shortest Path on Construction Sites

2. Terrain Traversability and Optimal Path Planning in 3D Uneven Environment for an Autonomous Mobile Robot

3. Bone G. M. S. G. Olsen and G. E. Ashby. 2013. “Autonomous robotic dozing for rapid material removal.” In Proc. 30th Int. Association for Automation and Robotics in Construction 753–762. https://doi.org/10.22260/ISARC2013/0082.

4. Autonomous vehicle technology in mining;Brown C.;Eng. Mining J.,2012

5. Robotics and automated systems in construction: Understanding industry-specific challenges for adoption

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