2007
DOI: 10.1007/s10846-007-9192-3
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Autonomous Path Planning and Experiment Study of Free-floating Space Robot for Target Capturing

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Cited by 44 publications
(15 citation statements)
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“…The possibility to perform inertial parameters identification of the base spacecraft and the payload directly in orbit using accelerometers data is shown in [63]. Xu et al also proposed an autonomous path planning method for target capturing in [64,65]. The target features are extracted based on the visually measured information via the hand-eye camera and the target pose (position and orientation) and velocities are estimated using …”
Section: A Target Motion Prediction and Parameter Identificationmentioning
confidence: 99%
“…The possibility to perform inertial parameters identification of the base spacecraft and the payload directly in orbit using accelerometers data is shown in [63]. Xu et al also proposed an autonomous path planning method for target capturing in [64,65]. The target features are extracted based on the visually measured information via the hand-eye camera and the target pose (position and orientation) and velocities are estimated using …”
Section: A Target Motion Prediction and Parameter Identificationmentioning
confidence: 99%
“…i_ min (28) where [ i_ min , i_ max ] and [˙ i_ min ,˙ i_ max ] are the bounds of ith joint position and velocity, respectively. Moreover, larger variation of the base attitude during the maneuvre is not admissible for safety.…”
Section: Constraints Of the Trajectory Planningmentioning
confidence: 99%
“…(29)), each joint rate is limited within the bound given by Eq. (28). Then, the cost function is defined to be…”
Section: Definition Of Cost Functionsmentioning
confidence: 99%
“…These factors make it difficult to achieve the main control objective of the SMR, that is, to provide the required motion of the manipulator's grip in space. Traditionally [1][2][3][4][5][6][7][8] this problem is solved by planning the grip's trajectory, at which the grip is moved from its initial point in the space to the final one. This is done by using a generalized Jacobian that allows calculating rates for SMR joints.…”
Section: Introductionmentioning
confidence: 99%