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Updated: Jul 8, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Hierarchical incremental path planning and situation-dependent optimized dynamic motion planning considering

Xue-Cheng Lai¹, Shuzhi Sam Ge, Abdullah Al Mamun

¹Electrical and Computer Engineering Department, National University of Singapore, Singapore 117576. laixuecheng@alumni.nus.edu.sg

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|January 9, 2008

Summary

This summary is machine-generated.

This study presents a hierarchical method for robot navigation in unknown areas. The approach uses a modified A* algorithm and optimized motion planning for efficient and safe autonomous driving.

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Area of Science:

Robotics
Artificial Intelligence
Autonomous Systems

Background:

Nonholonomic mobile robots require advanced navigation strategies for unknown environments.
Incremental path planning and obstacle avoidance are critical for autonomous operation.

Purpose of the Study:

To develop a hierarchical approach for incremental robot navigation in unknown environments.
To enhance path planning and motion control for nonholonomic robots.

Main Methods:

Modified A* algorithm for mapping unknown environments and incremental path generation.
Incorporation of accelerations and velocity limits for precise robot pose prediction and trajectory planning.
Waypoint-directed motion optimization in reduced velocity spaces for path tracing.
Adaptive navigation strategies for diverse environmental conditions.

Main Results:

Successful incremental path generation and robot guidance in unknown environments.
Efficient collision avoidance through dynamic velocity limit adjustments.
Demonstrated efficacy of the hierarchical approach via simulations and experiments.

Conclusions:

The proposed hierarchical navigation system effectively guides nonholonomic mobile robots in unknown terrains.
The integration of modified A* and optimized motion control ensures safe and efficient autonomous navigation.