TY - JOUR AU - Ghanbarpour Asl, Habib TI - Minimum-time path planning for robot manipulators using path parameter optimization with external force and frictions JF - Tehnički glasnik J2 - Teh. glas. (Online) VL - 13 PY - 2019 IS - 1 SP - 25 EP - 35 PG - 11 SN - 1846-6168 DO - 10.31803/tg-20181112104935 UR - https://m2.mtmt.hu/api/publication/30787749 ID - 30787749 LA - English DB - MTMT ER - TY - JOUR AU - Barghi, Jond Hossein AU - Nabiyev Vasif, V. AU - Benveniste, Rifat TI - Trajectory Planning Using High Order Polynomials under Acceleration Constraint JF - JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING J2 - J OPTIM IN INDUST ENG VL - 10 PY - 2016 IS - 21 SP - 1 EP - 6 PG - 6 SN - 2251-9904 DO - 10.22094/joie.2016.255 UR - https://m2.mtmt.hu/api/publication/30787706 ID - 30787706 AB - The trajectory planning, which is known as a movement from starting to end point by satisfying the constraints along the path is an essential part of robot motion planning. A common way to create trajectories is to deal with polynomials which have independent coefficients. This paper presents a trajectory formulation as well as a procedure to arrange the suitable trajectories for applications. Created trajectories aimed to be used for safe and smooth navigation in mobile robots. First, a trajectory problem is formulized by considering a border on the robot’s acceleration as the constraint. Also, initial and final conditions for the robot’s velocity along the straight path are settled. To investigate that suggested trajectories perform motions with continuous velocity and smooth acceleration, three trajectory problems are formulated using 3rd, 4th and 5th degree of polynomials. The high-degree polynomials are used because of providing of smoothness, but there is complexity in the calculation of additional coefficients. To reduce the complexity of finding the high-degree polynomial coefficients, the acceleration constraint is simplified and this process is based on a certain scenarios. Afterwards, the coefficients of the used polynomials are found by taking into account the acceleration constraint and velocity conditions. Additionally, to compare the obtained solutions through proposed scenarios, the polynomials` coefficients are solved numerically by Genetic Algorithm (GA). The computer simulation of motions shows that as well as acceleration constraint, the velocity conditions at the beginning and at the end of motion are fulfilled. LA - English DB - MTMT ER - TY - CHAP AU - Barghi, Jond H AU - Nabiyev, VV AU - Akbarimajd, A TI - Planning of mobile robots under limitted velocity and acceleration T2 - 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings PB - IEEE Computer Society SN - 9781479948741 PB - IEEE Computer Society PY - 2014 SP - 1579 EP - 1582 PG - 4 DO - 10.1109/SIU.2014.6830545 UR - https://m2.mtmt.hu/api/publication/27210734 ID - 27210734 LA - English DB - MTMT ER -