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Iwona Pajak
Researcher at University of Zielona Góra
Publications - 18
Citations - 119
Iwona Pajak is an academic researcher from University of Zielona Góra. The author has contributed to research in topics: Nonholonomic system & Mobile manipulator. The author has an hindex of 7, co-authored 14 publications receiving 95 citations.
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Journal ArticleDOI
Point-to-Point Collision-Free Trajectory Planning for Mobile Manipulators
Grzegorz Pajak,Iwona Pajak +1 more
TL;DR: The collision-free trajectory planning method subject to control constraints for mobile manipulators is presented and guarantees satisfying control limitations resulting from capabilities of robot actuators by applying the trajectory scaling approach.
Proceedings ArticleDOI
The planning of suboptimal collision-free robotic motions
Iwona Pajak,Mirosław Galicki +1 more
TL;DR: In this article, a method of planning sub-optimal collision-free motion for redundant manipulators is presented based on using a penalty function approach and scaling the robot dynamic equation to satisfy actuator constraints.
Journal ArticleDOI
Sub-optimal trajectory planning for mobile manipulators
Grzegorz Pajak,Iwona Pajak +1 more
TL;DR: A method of planning a sub-optimal trajectory for a mobile manipulator subject to mechanical and control constraints is presented and the motion of the robot is planned in order to maximise the manipulability measure.
Journal ArticleDOI
Motion planning for mobile surgery assistant.
Grzegorz Pajak,Iwona Pajak +1 more
TL;DR: A method of motion planning for a mobile manipulator acting as a helper providing the necessary tools or a surgery assistant carrying out pre-planned procedures, based on a penalty function approach and a redundancy resolution at the acceleration level is presented.
Proceedings ArticleDOI
Planning of a point to point collision-free trajectory for mobile manipulators
Grzegorz Pajak,Iwona Pajak +1 more
TL;DR: A method of planning sub-optimal trajectory for a mobile manipulator working in the environment including obstacles is presented and nonholonomic constraints in a Pfaffian form are explicitly incorporated into the control algorithm.