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Many researchers have started to explore natural interaction scenarios for children. No matter if these children are normally developing or have special needs, evaluating Child-Robot Interaction (CRI) is a challenge. To find methods that work well and provide reliable data is difficult, for example because commonly used methods such as questionnaires do not work well particularly with younger children...
The present workshop focuses on the topic of intention recognition in HRI. To be able to recognise intentions of other agents is a fundamental prerequisite to engage in, for instance, instrumental helping or mutual collaboration. It is a necessary aspect of natural interaction.
My PhD research aims to develop a general framework for a behavior control architecture that will provide customized interaction between the robot and an elderly individual suffering from mild cognitive impairment (MCI). This framework will enable the robot to learn from past events and to adapt its behavior to the specific needs of the person that it interacts with. For this purpose, models will...
The German SpaceBot Cup is a robotics competition that has its first edition in 2013. A second edition is expected by the end of 2015. The SpaceBot application scenario involves typical exploration tasks carried out on a planetary surface after landing on a planet. Competitors' robots are challenged to locate and identify objects, and then convey them to a base station. This activity is meant to be...
Underwater acoustic source localization is important in many underwater applications. However, due to the intensity degradation of acoustic signal as the distance from the source increases, the possibility to detect and localize the source using a single surface platform become harder. This paper presents an underwater acoustic source localization strategy by a group of autonomous surface vehicles...
This paper presents a study of distributed cooperative formation control of a generic multiple agent robots which is applicable for underwater system application such as multiple-autonomous surface vehicles (ASV). The control objective of the group of ASV agent is to maintain a certain formation in a predefined geometric pattern, notably a symmetric formation shape. In addition, the centroid of this...
This paper describes the use of two dimensional (2-D) laser scanner for locating badminton shuttlecock in real playing environment. It proposes a method to predict the end point of shuttlecock trajectory. The system is designed using two 2-D laser scanners to locate shuttlecock in midst of air in its trajectory. It helps to calculate shuttlecock's speed, orientation and hence, to predict an end point...
Ultrasound imaging is deemed as one of the least harmful noninvasive imaging techniques in the current commonly used medical procedures. The machine operates with four-separated soft pneumatic actuator and the system can be mounted onto the body through suction plates. Vacuum suction force is introduced on the body surface to attach the soft robotic system onto the intended location. The feasibility...
This paper presents an experimentation with a vision based skill learning technique using Barrett WAM (a 7-DoF robot manipulator) and Microsoft's Kinect (a 3D sensor). This skill learning approach is based on Symbolic Encoding. Even though most of the imitation learning approaches focus on trajectory encoding, symbolic encoding offers a more concise representation of a skill which is easily transferable...
Symmetric Planar Rimless Wheel (SPRW) is an important reference model of passive biped walking. Most of the researches on SPRW emphasis on the global characteristics but are lack of the detailed motion process. In this paper, the process of the stop motion of SPRW on slope and the relation between different kinds of motion form with SPRW's instinct characteristics are discussed. Furthermore, an approximate...
Thermal convection and fluid flow in porous media has gained increasing research interest in recent years due to the presence of porous media in many engineering applications. Rough set theory has been regarded as a powerful feasible and effective methodology in the performance of data mining and knowledge discovery activities. This paper introduce a method for building knowledge for the rate of heat...
This paper presented biological immune system, immune response, and immune learning through somatic hypermutation. The proposed approach is based on immune network theory since they share common aspects with a multi-robot system. In order to improve the cooperative behavior in multi-robot systems, a conceptual model is presented by integrating the immune network algorithm with somatic hypermutation...
This paper presents a novel concept of swarm robots, which mostly emphasizes on organization structure, rather than merely the quantity. A novel task-oriented swarmrobotic system (SociBuilder system) that is self-reconfigurable and supports self-assembly is introduced. The system simulates human labor division and social organization structure, thus it could represent human construction activities...
Boolean networks are system models where binary-state nodes are interconnected and the dynamics of each node is described by Boolean functions. A number of studies have been conducted so far, while it is usually assumed that the full information of the target system is available in analysis and design. Meanwhile, this paper addresses a structural analysis problem of Boolean networks, i.e., where the...
We developed a life support system for connecting PC with the real world. This system has seamless interface between the personal computer (PC) world and the real world, we have been studying a method for teaching a caregiver robot and a caregiver person. The interface proposed here allows a user to intuitively direct a robot's motion via a graphical user interface of the sort typical in the PC world...
this study aims to determine the factors that affect the electromyography signal amplitude of human muscles. In a previous study, it was determined that increases in movement velocity and acceleration led to an increase in EMG signal amplitude. In this study, EMG signal amplitudes were investigated under varying degree of muscle flexion while at rest, by varying the angle of initial positions. Eight...
This paper studies the motion mapping from a human arm to a heterogeneous slave robot arm for tele-manipulation. A wearable motion capture system is employed to measure the motion of the master arm (i.e., the human arm), and then the motion of human arm is mapped into the workspace of the slave robot arm via corresponding joint group mapping, as a result, we can control the motion of the heterogeneous...
In this paper, we reported innovative design of a lower extremity exoskeleton developed by The Chinese University of Hong Kong (CUHK-EXO) that can help the paralyzed individuals to regain the ability to stand up/sit down (STS) and walk. CUHK-EXO is developed with the features of ergonomic design, user-friendly interface and high safety. The CUHK-EXO hardware design including mechanical structure,...
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