Prof. Dan Zhang (Keynote Speaker) Fellow of CAE, EIC, ASME, CSME York University, Canada	Keynote Lecture: Reconfigurable Robotic Systems and Applications Abstract: Robotics provides transformative technologies for all aspects of human lives from manufacturing, education, entertainment, healthcare and medical systems. Nevertheless, it is an open technology that continues to evolve for higher accuracy, speed, reliability, robustness, resilience and sustainability. In particular, the attributes of resilience and sustainability have only received growing attentions recently. Robotics is also a highly interdisciplinary technology which integrates knowledge from many fields including mechanical engineering, electronics engineering, and informatics. One of the most significant challenges this technology faces today is to develop technologies for the new attributes (such as sustainability) of a robotic system. However, system sustainability can be achieved by reconfiguration and decentralization, whose system configurations are evolved with the changes of design requirements and dynamic environment. The modular construction of parallel robotic machines allows them to achieve this objective and generate a class of reconfigurable robotic structures. In this talk, the parallel robotic system and its characteristics will be presented and discussed. Based on the modular structure of parallel robotic system, reconfigurable robots are generated and their potential applications such as 3D printer, machine tools and mobile modular rescue robots etc. are demonstrated.
Prof. Feng Gao (Keynote Speaker) Director of the state key laboratory of Mechanical System and Vibration Shanghai Jiaotong University, China
Prof. Rong Xiong (Keynote Speaker) Leader of the Robotics Laboratory at Institute of Cyber-Systems and Control Zhejiang University, China
Prof. Genci Capi (Keynote Speaker) Hosei University, Japan	Keynote Lecture: Socially assistive intelligent robots operating in human environments Abstract:The research on intelligent robots will produce robots that are able to operate in everyday life environments, to adapt their policy as environment changes, and to cooperate with other team members and humans. Operating in human environments the robots must be process in real time many sensory data such as vision, laser, microphone, in order to determine the best action. Learning and evolution have been proved to give good results generating a good mapping of various sensory data to robot action. In this talk, I will overview the existing efforts including our attempts at creating intelligent robots operating in everyday life environments. I will focus on remotely operating surveillance robot, robot navigation in urban environments, and assistive humanoid robot. I will show experimental results that demonstrate the effectiveness of proposed algorithms.
Prof. Yang Shi (Keynote Speaker) Fellow of IEEE, ASME, CSME University of Victoria, Canada	Keynote Lecture: Robust Stabilization of Bilateral Teleoperation for Robotics Abstract: As an efficient tool for remote sensing and manipulation, a bilateral tele-operator strives to synchronize its master and slave robots tightly, and to provide its human operator with useful haptic cues about the slave-environment interactions. Therefore, the bilateral teleoperation feedback loop includes the human who operates the master, the environment which interacts with the slave and the master-communications-slave system. This talk will firstly summarize the major challenges to tackle the bilateral teleoperation that is a nonlinear, time-varying and interconnected system with communication delays and uncertain user and environment dynamics. Further, a novel constructive dynamic interconnection and damping injection strategy for robust stabilization of bilateral teleoperation will be presented. Finally, some related ongoing research will be discussed.
Prof. Yongshun Zhang (Keynote Speaker) Dalian University of Technology, China	Invited Lecture: Capsule robot and magnetic Manipulation Abstract: Wireless capsule endoscopes (WCEs) are particularly useful to reach inaccessible regions with minimal patient discomfort precluded to standard probe endoscopy. However, their effectiveness is currently limited in some spacious spots of the gastrointestinal (GI) tract, because of their uncontrolled nature, which causes the capsule to miss regions of interest. With active locomotion and posture control, it is believed that the missing rate will be reduced greatly, even more attractive applications of WCEs, such as laser surgical operation and localized drug delivery, will be realized. Therefore, on the basis of a brief review of the development status of capsule robot systems and related fields, several scientific issues will be elaborated in this report by focusing on innovative driving principles of capsule robot systems in the GI tract, wireless energy transmission, visual positioning, and human-machine interactive control based on vision and magnetic field integration, and related future trends will be prospected.
Prof. Xianbo Xiang (Invited Speaker) Huazhong University of Science and Technology, China
Prof. Xianping Fu (Invited Speaker) Dalian Maritime University, China	Biography: Xianping Fu，Professor in Information Science and Technology College, Dalian Maritime University, China. He received the Ph.D. degree in communication and information system from Dalian Maritime University, in 2005. From 2007 to 2008 he was a Postdoctoral in Tsinghua University, China, and from 2008 to 2009 he was a Postdoctoral Fellow at Schepens Eye Research Institute, Harvard Medical School, Boston, MA. His research interests include underwater robot, perception of natural scenes in engineering systems, image/video processing, and object recognition. He is a leading talent in Dalian, and head of the high-level innovation team of underwater robots in Liaoning Province. He is currently a standing Committee member of the Professional Committee on Intelligent Robots, member of the Multimedia, Human-Computer Interaction, Computer Vision Special Committee of the CCF, and the Executive Director of Dalian Computer Society. He has published more than 80 papers, and applied more than 30 patents. He won the RPB International Scholars Research Award, the 7th International Invention Expo Gold Award and many other awards.
Prof. Hongde Qin (Invited Speaker) Harbin Engineering University, China	Invited Lecture: Prescribed Performance Control Method for AUV Abstract: In recent years, autonomous underwater vehicle (AUV) has been widely applied in the fields of marine environmental monitoring and military intelligence gathering. It is intended to provide scientists and researchers with simple and low-cost  medium and long-range and appropriate time response capability to implement different functions. These underwater vehicles are required to execute different types of missions without the interaction of human operators while performing well under a variety of load conditions and with unknown sea currents. Motion control systems for AUV have been an active field of research. Modern control systems are based on a variety of design techniques such as PID control, sliding mode control, fuzzy systems, neural networks control, and prescribed performance control, to mention only a few. Trajectory tracking is a fundamental element of the AUV control system. However, highly nonlinear and cross-coupled characteristics of system dynamics, model uncertainties introduced by unpredictable underwater environment, and external disturbances bring challenges for the AUV control algorithms design. In addition, according to the complicated missions, the requirement for the control precision will be further increased. The research results of traditional nonlinear control focus on the steady state performance of the system, but pay less attention to the transient performance. Against this background, Bechlioulis proposed a prescribed performance control method, which introduced performance function and corresponding error transformation to make convergence rate, overshoot, and tracking error obtain pre-established performances. In this report, we have considered the problem of the 6-DOFs AUV nonlinear systems with unknown nonlinearities, which is capable of allowing attributes such as maximum overshoot, a lower bound on the convergence rate, and maximum permissible steady state error to be formally specified via the performance functions. Make the prescribed performance characteristics as tracking error constraints, the key idea was to transform the constrained system into an equivalent unconstrained one, via an appropriately defined output error transformation. We have proved that stabilizing the unconstrained system is sufficient to solve the stated problem. This is critical property as it leads to the design of less complex control algorithms. This report mainly focuses on the application of prescribed performance control methods in the AUV field, including the development history, basic theory, and subsequent development of prescribed performance control. In addition, an AUV prescribed performance control case is introduced to elaborate the main design steps of the method. By comparing with other methods, the superiority of the prescribed performance control method is demonstrated.