Optimization of Arm Manipulator Trajectory Planning in the Presence of Obstacles by Ant Colony Algorithm

E-resources

PDF

Full text

Peer reviewed Open access

Optimization of Arm Manipulator Trajectory Planning in the Presence of Obstacles by Ant Colony Algorithm

Baghli, Fatima Zahra; bakkali, Larbi El; Lakhal, Yassine

Procedia engineering, 2017, 2017-00-00, Volume: 181

Journal Article

Optimal path planning for robot manipulator plays an important role in the domain of robotics. In this work, we use Ant colony algorithm as an optimization tool because ACO has been known to be robust for search and optimization problems. The Ant colony algorithm has been used to find the optimal path from an initial to a final position in the presence of five obstacles with rectangular shapes and sizes in the robot environment. The algorithm has been tested in simulation and the obtained results show the efficiency and reliability of the proposed method.

Keep searching

Author

Baghli, Fatima Zahra | bakkali, Larbi El | Lakhal, Yassine

Access to the JCR database is permitted only to users from Slovenia. Your current IP address is not on the list of IP addresses with access permission, and authentication with the relevant AAI accout is required.

Year	Impact factor		Edition		Category		Classification
Year	JCR	SNIP	JCR	SNIP	JCR	SNIP	JCR	SNIP

Links to authors' personal bibliographies	Links to information on researchers in the SICRIS system

Source: Personal bibliographies and: SICRIS

Upload image

Shelf entry

Adding material to shelf was successful.

Adding material to shelf failed.

It was not necessary to add the material to the shelf.

Permalink

E-mail

Impact factor

Select the library membership card:

DRS, in which the journal is indexed

Citations

Theme