IEEE International Conference on Cyborg and Bionic Systems (CBS)

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 ITsubstrate for cyborgs. Ethics and human centered AI approaches are to be
discussed.
The topics of interest include, but are not limited to the following:
 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