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

Deep Learning Based Object Recognition Using Physically-Realistic Synthetic Depth Scenes.

Baimukashev, D.; Zhilisbayev, A.; Kuzdeuov, A.; Oleinikov, A.; Fadeyev, D.; Makhataeva, Z.; and Varol, H. A.

Machine Learning and Knowledge Extraction, 1(3): 883–903. 2019.

Human grasping database for activities of daily living with depth, color and kinematic data streams.

Saudabayev, A.; Rysbek, Z.; Khassenova, R.; and Varol, H. A.

Scientific Data, 5: 180101 EP -. 05 2018.

Vital sign monitoring utilizing Eulerian video magnification and thermography.

Aubakir, B.; Nurimbetov, B.; Tursynbek, I.; and Varol, H. A.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 3527-3530, Aug 2016.

ChibiFace: A sensor-rich Android tablet-based interface for industrial robotics.

Nurimbetov, B.; Saudabayev, A.; Temiraliuly, D.; Sakryukin, A.; Serekov, A.; and Varol, H. A.

2015 IEEE/SICE International Symposium on System Integration (SII), pages 587-592, Dec 2015

Real-time Gesture Recognition for the High-level Teleoperation Interface of a Mobile Manipulator.

Khassanov, Y.; Imanberdiyev, N.; and Varol, H. A.

Proceedings of the 2014 ACM/IEEE International Conference on Human-robot Interaction, of HRI '14, pages 204–205, New York, NY, USA, 2014. ACM