Call for Papers

Call for Papers

Full Paper Submission Date: 1st of June 2019
Notification of Acceptance Date: 15th of July 2019
Final Paper Submission Date: 31st of July 2019

Call for Papers (PDF)

CBS 2019

The main purpose of this conference is to discuss frontier research and realistic applications on cyborg- and bionic systems, which are concerned with hybrid fusion techniques for organic and biomechatronic body parts. Of central interest is the integration of artifacts and technologies like biomorphic actuators and sensors into an effective biocybernetic system. CBS 2019 is sponsored by the IEEE-RAS TC on Cyborgs and Bionic Systems. One of the primary goal is to make an organism restored or enhanced beyond its original biological characteristics. With the rapid development of bionic technologies, biomorphic chips and nanotechnology, we think that cyborgs and bionic systems can assist humans to conquer many limitations such as disease, disabilities, speed, strength, dexterity as well as intelligence. In addition, understanding neural principles, spiking circuits as well as brains and modeling of the functionality of artificial brains linked to sensors, actuators and robots and to organic natural bodies are further topic of interest. Biomorphic chips, spiking neural computation and its underlying learning methodologies form the basic IT-substrate for cyborgs. Ethics and human centered AI approaches are to be discussed

Topics of intrest

Micro/nano biomorphic robotics
Building brains for robots and cognitive skills
Bio-cell assembly and tissue fabrication
Micro bio sensor and actuator fabrication
Prosthesis and exoskeleton robotics
Biomorphic computation and chips
Neuromorphic controls and communication
Advanced materials neuromorphic sensors
Rehabilitation robotics
Cyborg intelligence
Generative learning
Cyber-physical bio-system
Biomimetic robotics
Perception and Cognition
Learning
Translation and mapping of biologic brain principles to cyborg control structures
Neurorobotics
Wearable robotics
Medical surgical robotics
Regenerative medicine
Neural-machine interfaces
Adaptive controls
Artificial brains
Biosignal processing