scholarly journals A Dynamic Localized Adjustable Force Field Method for Real-Time Assistive Non-Holonomic Mobile Robotics

10.5772/61190 ◽  
2015 ◽  
Vol 12 (10) ◽  
pp. 147 ◽  
Author(s):  
Michael Gillham ◽  
Gareth Howells
Keyword(s):  
Force Field ◽  
Real Time ◽  
Mobile Robotics ◽  
Field Method

Real-Time Support for Mobile Robotics

2005 ◽  
Author(s):  
Huan Li ◽  
John Sweeney ◽  
Krithi Ramamritham ◽  
Roderic Grupen ◽  
Prashant Shenoy
Keyword(s):  
Real Time ◽  
Mobile Robotics

scholarly journals IEEE Access Special Section Editorial: Real-Time Machine Learning Applications in Mobile Robotics

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 89694-89698
Author(s):  
Aysegul Ucar ◽  
Jessy W. Grizzle ◽  
Maani Ghaffari ◽  
Mattias Wahde ◽  
H. Levent Akin ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Mobile Robotics ◽  
Special Section ◽  
Time Machine ◽  
Machine Learning Applications

Integrated Steering and Braking Control System for Collision Avoidance by Using Virtual Repulsive Force Field Method

2018 ◽  
Author(s):  
Atsushi Yokoyama ◽  
Pongsathorn Raksincharoensak ◽  
Naoto Yoshikawa
Keyword(s):  
Force Field ◽  
Collision Avoidance ◽  
Autonomous Driving ◽  
Field Method ◽  
Repulsive Force ◽  
Driver Assistance Systems ◽  
Mass Model ◽  
Braking Control ◽  
And Control ◽  
Control Activation

Advanced Driver Assistance Systems (ADAS) and autonomous driving systems are being enhanced to deal with various types of collision avoidance use-case scenarios. To handle those complicated scenarios, a unified two-dimensional planar motion control methodology assuming virtual repulsive force from obstacles is introduced, which is physically interpretable and comprehensible. The direction and magnitude of virtual repulsive force are determined considering the orientation of obstacle surface planes and the friction limit between tires and road surface respectively. Applying the concept of virtual repulsive force field, the collision avoidance path can be derived from geometrical relationship and the control activation points can be obtained as algebraic solutions. By using a simple particle mass model, the formulation for path and control activation point is described. The simulation is conducted against not only in the case of a straight roadway but also in the case of a curve roadway. By designing feedforward and feedback controllers based on a two-wheel vehicle dynamics model, the effectiveness of the proposed method is verified and the feasibility of controller implementation for actual vehicle is also investigated.

Real-Time Prediction Method for Performance Degradation Trend Based on Reliability Experimental Data

2013 ◽  
Vol 321-324 ◽  
pp. 757-761 ◽  
Author(s):  
Chen Liang Song ◽  
Zhen Liu ◽  
Bin Long ◽  
Cheng Lin Yang
Keyword(s):  
Experimental Data ◽  
Real Time ◽  
Field Data ◽  
Prediction Method ◽  
Field Method ◽  
Performance Degradation ◽  
New Method ◽  
Time Prediction ◽  
Prediction Result ◽  
The Relationship

According to the real-time prediction for performance degradation trend, the commonly used method is just based on field data. But this methods prediction result will not be so much ideal when the fitting of degradation trend of field data is not good. To solve the problem, the paper introduces a new method which is not only based on field method but also based on reliability experimental data coming from the history experiment. We use the relationship between the field data and reliability experimental data to get the result of the two kinds of data respectively and then get the weights according to the two prediction results. Finally, the final real-time prediction result for performance degradation tendency can obtain by allocating the weights to the two prediction results.

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