Motion Planning
Motion Planning is known also as navigation planning. With the robots getting ubiquitous, effective motion planning in complex environments with dynamic obstacles is becoming essential. Motion planning aims to find a sequence of discrete robot configurations from the initial to the goal state complying with constraints imposed by the environment and internal dynamics of the system.
All Publications
A novel RRT*-based algorithm for motion planning in Dynamic environments.
Adiyatov, O.; and Varol, H. A.
2017 IEEE International Conference on Mechatronics and Automation (ICMA), pages 1416-1421, Aug 2017
Sparse tree heuristics for RRT* family motion planners.
Adiyatov, O.; Sultanov, K.; Zhumabek, O.; and Varol, H. A.
Motion planning for hybrid UAVs in dense urban environments.
Nurimbetov, B.; Adiyatov, O.; Yeleu, S.; and Varol, H. A.
Locomotion Strategy Selection for a Hybrid Mobile Robot Using Time of Flight Depth Sensor.
Saudabayev, A.; Kungozhin, F.; Nurseitov, D.; and Varol, H. A.
Inertial Motion Capture Based Reference Trajectory Generation for a Mobile Manipulator.
Khassanov, Y.; Imanberdiyev, N.; and Varol, H. A.
Rapidly-exploring random tree based memory efficient motion planning.
Adiyatov, O.; and Varol, H. A.
2013 IEEE International Conference on Mechatronics and Automation, pages 354-359, Aug 2013.
An intelligent object manipulation framework for industrial tasks.
Saudabayev, A.; Khassanov, Y.; Shintemirov, A.; and Varol, H. A.
2013 IEEE International Conference on Mechatronics and Automation, pages 1708-1713, Aug 2013.
