scholarly journals Trajectory Tracking and Control of Multiple Robot Arms on a Free-Floating Spacecraft for Debris Removal

2020 ◽  
Author(s):  
Ashith Shyam ◽  
◽  
Arunkumar Rathinam ◽  
Zhou Hao
2020 ◽  
Author(s):  
Ashith Shyam ◽  
◽  
Arunkumar Rathinam ◽  
Zhou Hao ◽  
◽  
...  

Author(s):  
Fumiya KITANO ◽  
Hidetoshi UCHIKATA ◽  
Kojiro MATSUSITA ◽  
Motoki SHIGA ◽  
Minoru SASAKI

2000 ◽  
Vol 33 (27) ◽  
pp. 261-266 ◽  
Author(s):  
Haruhisa Kawasaki ◽  
Toshimi Shimizu ◽  
Satoshi Ito

2004 ◽  
Vol 2004.57 (0) ◽  
pp. 387-388
Author(s):  
Makoto TAKATA ◽  
Hiroaki OZAKI ◽  
Makoto IWAMURA ◽  
Chang-jun LIN ◽  
Tetsuji SIMOGAWA

Author(s):  
Y H Zweiri ◽  
L D Seneviratne ◽  
K Althoefer

This paper investigates the modelling and control of a full-scale excavator vehicle. A detailed analytical model for an unmanned excavator vehicle is developed. The model takes into account the kinematics and dynamics of the mobile platform (vehicle) and the excavation arm (links and hydraulic system). The model describes the dynamic relationship between the operator input commands (fuelling and joystick commands to excavation arm and steering lever) and the trajectories and forces of the excavator vehicle. The dynamic model of the excavation arm system is validated against measured data. The validation of the model is conducted in collaboration with QinetiQ Limited (the new science and technology company formed from the major part of DERA, the British Government's defence research and development organization). A unified model is important for design of control strategies, since in order to move the bucket of a mobile excavator, movements of the entire vehicle are required. A key requirement for automating the excavation task is automated trajectory tracking, and a proportional-integral-derivative (PID) controller for trajectory tracking is developed and tested. It is noted that even though the results presented in this paper are focused on a particular excavator, the research is generic and can be adapted to any tracked ground vehicle with an on-board closed-chain manipulator.


Cooperative manipulators are among the subject of interest in the scientific community for the last few years. Here an overview of the design and control of such cooperative manipulators using Speech Commands in English, Hindi, and Tamil is discussed. Here we choose two identical Robot arms from lynxmotion, and both manipulators move in conjunction with one another to achieve more payload while grasping or handling the object by the end effector. The simultaneous control of identical robot manipulators could be performed by pronouncing simple speech commands by the end user using a smartphone, which then is converted into text format using a speech recognition engine and this text fed to servo controller helps in actuating the joints of identical robot arms. Cooperative manipulators are used for handling radioactive elements and also in the field of medicine as rehabilitation aid and also in surgeries. An Android app specifically built for this purpose communicates through Bluetooth technology makes the interface for end-user simple to control both identical robot arms simultaneously.


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