Special Session 1 : "Intelligent Robotics: Design, Development and Optimization"

• Session Organizesr: Dr. Rituparna Datta, IIT Kanpur, India

                                 Dr. Ki-Baek Lee, Kwang Woon University, Korea

• URL: https://scholar.google.co.in/citations?user=rTOD8Z0AAAAJ&hl=en

• Abstract: The basic motivation of intelligent robot design is the ease of performing any complex task in a lucid manner with desired accuracy. Technological revolutions in computing sector have enhanced the scope of flexible/ reconfigurable designing of a complete robot or its components. The prime need of the day is to design and develop of intelligent robots based on optimization which can interact easily, learn from the environment and perform critical tasks precisely and take accurate decisions in case of uncertainty. Original and unpublished contributions are solicited from researchers in following subjects including (but not limited to the following):

- Intelligent Robot Design

- Compliant Robot Design

- Evolutionary Robot Design

- Intelligent Motion/ Path Planning

- Emotion, Cognition and Machine Learning

- Swarm Intelligence in Robotics

- Intelligent Decision making in Robotics

- Artificial Intelligence and Robotics

- Intelligent Co-operative Robotics

- Self Learning Robots

- Relevant Engineering Applications

- Intelligent Signal Processing

 

Special Session 2: "Embodied and Developmental Intelligence for Robotics"

• Session Organizesr: Dr. Napoleon H. Reyes, Massey University, New Zealand
                              Professor Peter Sincak, Technical University of Kosice, Slovakia
                              Professor Pitoyo Hartono, Chukyo University, Japan    
                              Dr. Andre Barczak, Massey University, New Zealand

• Abstract: With the ever growing presence of robots outside the traditional fields of the industries, it is only inevitable that in the foreseeable future, robots would help cater to our daily needs, not only by working inside manufacturing plants, but right at the comfort of our homes.  In this context, learning will no longer be confined to structured operation environments, but should extend to unpredictable dynamic environments that were not seen by the robot during initial training.  The process of learning should progress involving incremental and self-organising mechanisms that activate soon after the robot leaves the auspices of the laboratory, and starts to “live” in the real world. To mention a few of the challenges that lie herein, robots may have to carry out task assignments under harsh and hostile conditions, plagued with uncertainty and unpredictability.  The extent of their adaptability and resiliency in dealing with all these confounding factors are critical to the success of their integration and further proliferation in society.  In addressing these issues, it is therefore paramount that autonomous adaptation should not be limited to the controller and percept layers per se, but should also consider adapting the robot’s hardware morphology.   

  This special session aims to provide an opportunity for international researchers to share and review recent advances in the foundations, integration architectures and applications contributing to the promising fields of embodied and developmental intelligence for robotics.  Special attention will be given to machine learning, motion planning, and percept processing techniques implementable to physical robots running in real-world environments, and to the novel manufacturing process of the robots.