Cognitive robotics is a multi-disciplinary field that draws on research in robotics, artificial intelligence, and neuroscience to design robots that can perceive their environment through multisensory channels, plan movements, anticipate the outcome of their actions and the actions of other agents, and learn. These robots can work in collaboration and in physical contact with humans in a variety of applications such as medicine, agriculture, and industrial automation. Many researchers across campus are both members of the Zlotowski Center for Neuroscience and of the ABC Robotics Initiative, and use neuroscience theories to improve the design and control of robots, and use robots to study neuroscience.

Neuro-engineering is a discipline that uses engineering techniques to understand, repair, replace, enhance, interface with, or otherwise exploit neural systems. Neuro-engineering draws on computational and experimental neuroscience to create models from the system level down to the level of single neurons. It also draws on electrical and biomedical engineering to process signals from neural tissue, and encompasses elements from robotics, cybernetics, computer engineering, neural tissue engineering, materials science, and nanotechnology. The goals of neuro-engineers include restoration and augmentation of human function via direct interactions between the nervous system and artificial devices, and understanding the coding and processing of information in the sensory and motor systems, and how it can be manipulated through interactions with artificial devices including brain-computer interfaces and neuroprosthetics.​

Cognitive Robotics

Cognitive Robotics and Neuro-engineering Researchers

Show All
Hide All