Object manipulation is a basic element in everyday human lives. Robotic manipulation has progressed from maneuvering single-rigid-body objects with firm grasping to maneuvering soft objects and handling contact-rich actions. Meanwhile, technologies such as robot learning from demonstration have enabled humans to intuitively train robots. This paper discusses a new level of robotic learning-base...

Aimed at accurary and real-time object tracking under complex background,an object tracking algorithm based on multi feature fusion is proposed. Feature points tracking is used to reduce the match time and improve the real-time of tracking; To overcome the inaccuracy of a single feature tracking, the object model is presented by the color and texture features. For the traditional "current" stat...

The possibility of applying the traditional navigation parameters used in pilotage (bearing and distance), as well their sum difference for planning controlling ship curvilinear route coastal waters is being investigated. Mathematical apparatus based on classical methods such theory isolines, lines position, principles planning, approximation route. mathematical justification circle arcs, ellip...

Vorticity control is employed by marine animals to enhance performance in maneuvering and propulsion. Studies on fish-like robots and experimental apparatus modelling rigid and flexible fins provide some of the basic mechanisms employed for controlling vorticity.

To improve the tracking performance of bearings-only maneuvering target, a dynamic and adaptive multiple models (MM) algorithm is proposed in this paper, i.e., the acceleration value of each sub-model of MM structure is adjusted dynamically, unlike the traditional MM method with fixed acceleration levels, by an economic on-line self-constructing neural fuzzy inference network (SONFIN) according...

Target tracking in a Wireless Sensor Network (WSN) environment is a challenging research problem. Interactive Multiple Model (IMM) is a popular scheme for accurate target tracking. The existing target tracking scheme used in WSN employs Kalman Filter (KF) which fails to track the target accurately due to non availability of target data at regular intervals and missing of packets. Though existin...