Topic  Editor

Prof. Dr. Timothy Sands

Cornell University, USA

Topic: Recent Advances in Mobile Robotics Navigation

Autonomous navigation is the intersection of many different basic research areas in robotics. The smooth movement of artificial agents, without collision, attracts large amounts of attention and research and has led to hundreds of approaches over decades. Moving the robot from one position to another requires a variety of perception techniques, state estimation techniques (e.g., positioning, mapping, global representation), path planning, motion planning, and control techniques.

A fully autonomous mobile robot has the ability to:
• Gain information about the environment.
• Work for an extended period without human intervention.
• Move either all or part of itself throughout its operating environment without human assistance.
• Avoid situations that are harmful to people, property, or itself, unless those are part of its design specifications. An autonomous mobile robot may also learn or gain new capabilities like adjusting strategies for accomplishing its task(s) or adapting to changing surroundings.

This topic aims to present current and innovative research which contributes to the improvement of the navigation abilities of mobile robots.

Make a new submission to the Topic: Recent Advances in Mobile Robotics Navigation section.

List of Publication

2023
Fuzzy Logic Control for Mobile Robot Navigation in Automated Storage
Chadi F. Riman and Pierre E. Abi-Char

2022
Design a Nonlinear MPC Controller for Autonomous Mobile Robot Navigation System Based on ROS
Hiep Do Quang, Thang Le Tran, Tien Ngo Manh, Cuong Nguyen Manh, Toan Nguyen Nhu, and Nam Bui Duy

MPC Based Navigation of an Omni-directional Mobile Robot under Single Actuator Failure
Dinsha Vinod and P. S. Saikrishna