cjenkins at cs.brown.edu
My work strives towards realizing robots and autonomous systems as effective collaborators for humans in real-world tasks. Reproducibility and interoperability is a critical facet of my research and development work, such as from my group’s ROS repository.
srm at cs.brown.edu
Administrative assistant to Professor Jenkins and the RLAB group.
chriscrick at cs.brown.edu
My research agenda is motivated by two overarching, complementary goals: to ground models of developmental psychology and cognitive science in realized, embodied computational systems; and to use models of human cognition and social development to improve robot control and learning, human-robot interaction and artificial intelligence in general.
tjay at cs.brown.edu
Momentous strides have been made within the field of machine learning in domains like pattern recognition and automatic translation. However, the often highly performance-sensitive nature of such system's implementations and their often unstructured semantics makes implementing such work with standard programming architectures and processes a challenge. My main research goal is finding ways that software engineering theory and practice and machine learning can be better integrated.
akarjun at gmail.com
My goal is to exploit the abundance of multi-modal data in today's networked world by developing algorithms that can use this data to extract approximately good models of hidden and underlying dynamical systems that can then be used to develop efficient engineering solutions for real world problems. Areas of interest are learning from demonstration using multi-modal data for personal robots, multi-agent systems and legged locomotion.
brawner at gmail.com
I'm researching humanoid robotics and human robot interaction. I am seeking to develop platforms that will help bring robotics into the home environment, but also inspire new areas of development.
jihoon_lee at brown.edu
My research interest is to understand how humans perceive and react in the real world. If there is a robot which understands the real world as a human does, it would become a much more useful collaborator to humans in many ways.
jcmace at cs.brown.edu
My immediate research interests are in the development of primitives and mechanisms for a richer and more unified representation of data for communication between robots. I am interested in the realization of protocols, languages and abstractions for robotics, which will serve as the foundation for widespread inter-operation of robotics in the future.
My research interests include recovery of articulated human motion from video, physical simulation, motion control of humanoids and character animation. My current major focus has concentrated on introducing techniques from computer graphics, robotics and animation to computer vision in order to build effective models of human motion for tracking.
Sarah Osentoski (Postdoc 2009-2011)
sosentos at gmail.com
Brian Thomas (ScM 2011)
brian at cs.brown.edu
My research objective is to make robots simpler to use for the common man. Current state-of-the-art robots require complex, unnatural command-line incantations to perform menial tasks. If they are ever to be accepted into people's homes and lives, robots will need to interact with people in a way easy for them to understand.