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Raabid Hussain,Asim Qureshi,Rasheeq A. Mughal,Raafay Ijaz,Nasir Rashid,Mohsin I. Tiwana,Javaid Iqbal 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
In this paper, an efficient numerical scheme is associated with the scheming of the inverse kinematics for a four degrees of freedom redundant planar robotic manipulator. The manipulator under study is an RRPR redundant manipulator with joint angle constraints at each joint. Firstly, using the forward kinematics transformation matrix, a plot of the reachable workspace was obtained. This plot was used to determine equations for the possible end-effector positions. Then the analytic approach was used to determine equations for the inverse kinematic scheme. The inverse kinematics scheme initially sets the first joint angle as a constant at the current position in order to determine the inverse solution. However, if the solution calculated is not within the joint constraints then it uses numerical techniques to determine the least displacement new first joint parameter to determine the next possible solution. This results in a faster and more accurate convergence to the desired solution as compared to the traditional approaches.
Muhammad Ahsan Sami,Muhammad Umar Masood,Muhammad Waqar,Muhammad Mujtaba,Abrahim Ali Shah,Nasir Rashid,Mohsin I. Tiwana,Javaid Iqbal,Adnan Shujah 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
This paper presents an application of a novel approach for detecting and tracking an object with a 2 DOF robotic manipulator which can be equipped with an array of electrically controlled actuators. The said approach utilizes the Image Based Visual Servoing (IBVS) technique. The developed system is able to determine the object pose in real time from features in the image. Object is detected using shaped based approach algorithms of image processing. The position and orientation of the world coordinates of the object being tracked are calculated from the coordinates of the object in image plane using camera’s intrinsic and extrinsic parameters. Experimental results demonstrate the effectiveness of this proposed approach.
Design and Development of a Semi-Autonomous Stair Climbing Robotic Platform For Rough Terrains
Muhammad Umar Masood,Muhammad Ahsan Sami,Haris Sohail,Muhammad Mujtaba,Muhammad Abubakar Siddique,Hashir Akram,Nasir Rashid,Mohsin I. Tiwana,Javaid Iqbal 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
This paper presents the design of a stair climbing fixed flipper unmanned ground vehicle (UGV) for urban search and rescue purposes. Mobile flippers are being used in certain UGVs for enhanced mobility in rough terrains, however, the control algorithm of these platforms is complex. To add this enhanced mobility in the UGV and to reduce the intricacy of the control algorithm, anterior end of the tracks are lifted up which enables the UGV to pass over obstacles with relative ease. To prevent the rollover of UGV while moving on an inclined surface, an image processing algorithm was developed which halts the motion of UGV if the calculated slope exceeds the threshold value with a maximum error of about 8%. Furthermore, left and right track velocities along with the turn radius were also calculated.