Learn More
—This paper summarizes lessons learned from the first Amazon Picking Challenge in which 26 international teams designed robotic systems that competed to retrieve items from warehouse shelves. This task is currently performed by human workers, and there is hope that robots can someday help increase efficiency and throughput while lowering cost. We report on(More)
Posture measurement and correction using inertia sensors are finding applications in rehabilitation as well as in human robot interaction systems. This paper presents two designs of arm posture mapping and replication system using inertia sensors and vibrotactile feedback device. The designs differ in the number of vibrotactile actuators and the vibration(More)
A systematic review was carried out to examine the use of robots in early childhood and lower level education. The paper synthesizes the findings of research studies carried out in the last ten years and looks at the influence of robots on children and education. Four major factors are examined – the type of studies conducted, the influence of robots on(More)
This paper presents an automated fish fry counting by detecting the pixel area occupied by each fish silhouette using image processing. A photo of the fish fry in a specially designed container undergoes binarization and edge detection. For every image frame, the total fish count is the sum of the area inside every contour. Then the average number of fishes(More)
This paper presents an integrated system for upper limb rehabilitation which uses small inertia-based sensors and vibrotactile feedback devices. Vibrotactile feedback is incorporated together with two Inertial Measurement Units (IMUs) attached at the upper arm and the forearm to measure arm motions. The whole arm posture is modeled using three parameters -(More)
Automating item picking in the e-commerce warehouse is pressing but challenging, due to a massive variety of items, tight environmental constraints and item location uncertainty. In this paper, we present an effective and efficient strategy-based planning approach to implement the robotic picking from shelves for e-commerce. Making full advantage of a(More)
Autonomous robot driving decision strategy following road signs and traffic rules is described using simulation with a Turtlebot [1]. A fully autonomous robot driving strategy is presented, which follows human level logic in decision making. A vision-based autonomous vehicles navigation system for road vehicles includes three main parts: 1) road and traffic(More)
Robots have been shown to assist in education and development of social skills in children. However, there has been no study yet that benchmarks the effectiveness of robots with respect to traditional playtools found inside a classroom, such as pretend play items and blocks. This paper presents the design, development and testing of robotic puppets, which(More)
In sports training and exercises, the velocity and position of the person is very important for motion evaluation. Despite of the development in motion capturing, a proper method for velocity monitoring for daily use is still not elaborated. In this work, a velocity tracking and localization method using only three IMU sensors is introduced. In the method,(More)