UWB/IMU Integration with Adaptive Motion Constraints to Support UXO Mapping

Author(s):  
Zoltan Koppanyi ◽  
Vaclav Navratil ◽  
Haowei Xu ◽  
Charles K. Toth ◽  
Dorota Grejner-Brzezinska
Navigation ◽  
2018 ◽  
Vol 65 (2) ◽  
pp. 247-261 ◽  
Author(s):  
Zoltan Koppanyi ◽  
Vaclav Navratil ◽  
Haowei Xu ◽  
Charles K. Toth ◽  
Dorota Grejner-Brzezinska

2021 ◽  
pp. 107754632199918
Author(s):  
Rongrong Yu ◽  
Shuhui Ding ◽  
Heqiang Tian ◽  
Ye-Hwa Chen

The dynamic modeling and trajectory tracking control of a mobile robot is handled by a hierarchical constraint approach in this study. When the wheeled mobile robot with complex generalized coordinates has structural constraints and motion constraints, the number of constraints is large and the properties of them are different. Therefore, it is difficult to get the dynamic model and trajectory tracking control force of the wheeled mobile robot at the same time. To solve the aforementioned problem, a creative hierarchical constraint approach based on the Udwadia–Kalaba theory is proposed. In this approach, constraints are classified into two levels, structural constraints are the first level and motion constraints are the second level. In the second level constraint, arbitrary initial conditions may cause the trajectory to diverge. Thus, we propose the asymptotic convergence criterion to deal with it. Then, the analytical dynamic equation and trajectory tracking control force of the wheeled mobile robot can be obtained simultaneously. To verify the effectiveness and accuracy of this methodology, a numerical simulation of a three-wheeled mobile robot is carried out.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 2655-2664
Author(s):  
Xianjian Jin ◽  
Zeyuan Yan ◽  
Guodong Yin ◽  
Shaohua Li ◽  
Chongfeng Wei

Author(s):  
Mirko Rakovic ◽  
Branislav Borovac ◽  
Jose Santos-Victor ◽  
Aleksandar Batinica ◽  
Milutin Nikolic ◽  
...  

Robotica ◽  
2007 ◽  
Vol 25 (5) ◽  
pp. 529-536
Author(s):  
Jing Zhang ◽  
Fanhuai Shi ◽  
Yuncai Liu

SUMMARYWhile a robot moves, online hand–eye calibration to determine the relative pose between the robot gripper/end-effector and the sensors mounted on it is very important in a vision-guided robot system. During online hand–eye calibration, it is impossible to perform motion planning to avoid degenerate motions and small rotations, which may lead to unreliable calibration results. This paper proposes an adaptive motion selection algorithm for online hand–eye calibration, featured by dynamic threshold determination for motion selection and getting reliable hand–eye calibration results. Simulation and real experiments demonstrate the effectiveness of our method.


Sign in / Sign up

Export Citation Format

Share Document