Bee colony algorithm for real-time optimal path planning of mobile robots

2009 ◽  
Author(s):  
M. H. Saffari ◽  
M. J. Mahjoob
Keyword(s):  
Path Planning ◽  
Mobile Robots ◽  
Real Time ◽  
Optimal Path ◽  
Optimal Path Planning ◽  
Bee Colony ◽  
Time Optimal

Non-Collision Path Planning of a Payload in Crane Operating Space

2013 ◽  
Vol 198 ◽  
pp. 559-564 ◽  
Author(s):  
Jaroslaw Smoczek ◽  
Janusz Szpytko ◽  
Pawel Hyla
Keyword(s):  
Path Planning ◽  
Real Time ◽  
Optimal Path ◽  
Manufacturing Processes ◽  
Automated Manufacturing ◽  
Star Graph ◽  
Graph Searching ◽  
Optimal Path Planning ◽  
Time Optimal ◽  
Operating Space

The problem of ensuring the safe and efficient cranes operations in automated manufacturing processes involves the automation of the operating workspace identification, non-collision and time-optimal path planning, and real-time following a payload along the determined path by crane motion mechanisms with expected precision. The paper describes the stereo vision based system used for identification of workspace of the laboratory scaled overhead travelling crane. The time-optimal trajectory of a payload is determined by using the A-star graph searching algorithm, and next real-time trucking by PLC-based crane control system.

Time-optimal path planning: Real-time sea exercises

2017 ◽  
Author(s):  
Deepak N. Subramani ◽  
Pierre F. J. Lermusiaux ◽  
Patrick J. Haley ◽  
Chris Mirabito ◽  
Sudip Jana ◽  
...  
Keyword(s):  
Path Planning ◽  
Real Time ◽  
Optimal Path ◽  
Optimal Path Planning ◽  
Time Optimal

scholarly journals Time-optimal Path Planning of Multi-axis CNC Processes Using Variability of Orientation

Procedia CIRP ◽  
2021 ◽  
Vol 96 ◽  
pp. 324-329
Author(s):  
Frederik Wulle ◽  
Max Richter ◽  
Christoph Hinze ◽  
Alexander Verl
Keyword(s):  
Path Planning ◽  
Optimal Path ◽  
Optimal Path Planning ◽  
Time Optimal

scholarly journals COLREG-Compliant Optimal Path Planning for Real-Time Guidance and Control of Autonomous Ships

2021 ◽  
Vol 9 (4) ◽  
pp. 405
Author(s):  
Raphael Zaccone
Keyword(s):  
Path Planning ◽  
Real Time ◽  
Collision Avoidance ◽  
Autonomous Navigation ◽  
Optimal Path ◽  
Open Water ◽  
Optimal Path Planning ◽  
Guidance And Control ◽  
Real Time Applications ◽  
And Control

While collisions and groundings still represent the most important source of accidents involving ships, autonomous vessels are a central topic in current research. When dealing with autonomous ships, collision avoidance and compliance with COLREG regulations are major vital points. However, most state-of-the-art literature focuses on offline path optimisation while neglecting many crucial aspects of dealing with real-time applications on vessels. In the framework of the proposed motion-planning, navigation and control architecture, this paper mainly focused on optimal path planning for marine vessels in the perspective of real-time applications. An RRT*-based optimal path-planning algorithm was proposed, and collision avoidance, compliance with COLREG regulations, path feasibility and optimality were discussed in detail. The proposed approach was then implemented and integrated with a guidance and control system. Tests on a high-fidelity simulation platform were carried out to assess the potential benefits brought to autonomous navigation. The tests featured real-time simulation, restricted and open-water navigation and dynamic scenarios with both moving and fixed obstacles.

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