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LATEST NEWS

New Postdoc:
Sarah Osentoski will be joining RLAB as a postdoc starting Summer 2009.

Student Fellowhips:
Jesse Butterfield has been awarded an NSF Graduate Research Fellowship. Mark Buller has been awarded a SMART Scholarship

In the press:
Our work in robotic person following and gesture recognition received some press recently: ScienceDaily

Sloan Fellowship:
Chad Jenkins has been selected to be a 2009 Sloan Fellow

HRI '09:
Brown Robotics has two papers accepted for oral presentation at HRI 2009. Aggeliki Tsoli has been selected for the HRI 2009 Young Pioneers program.

AFOSR YIP '08:
Chad Jenkins has been awarded an Young Investigator Award by the Air Force Office of Scientific Research.

ONR Award '08:
Chad Jenkins has been awarded a 1$ Million Award from the Office of Naval Research for research into physics-based human tracking.

CVPR '08:
Marek Vondrak, Leon Sigal, and Chad Jenkins' paper on physics-based human tracking was accepted for oral presentation at CVPR 2008.

NEMS 2008:
Brown Robotics is hosting the New England Manipulation Symposium on May 30th 2008.

AAMAS 2008:
Jesse Butterfield, Chad Jenkins, and Brian Gerkey published a paper on "Multi-robot Markov Random Fields" at AAMAS 2008.

AAAI Symposium '08:
Micah Lapping-Carr et al published a paper on a mechanism for intuitive robot control.

HRI PIONEERS:
Dan Grollman was chosen as a young pioneer in Human-Robot Interaction, and will be presenting his work in March.

PECASE Award:
Chad Jenkins wins the Presidential Early Career Awards for Scientists.

Jonas Schwertfeger was featured in a Christian Science Monitor article on consumer robotics.

AAAI 2007:
Chad Jenkins is Chair of the AAAI Mobile Robot Workshop this year.

MORE >>

to the Brown Robotics Group!

The Brown Robotics Group strives to realize robots and autonomous systems that are effective collaborators for pursuing human endeavors. Towards this end, we explore problems in human-robot interaction, robot learning, robot perception, autonomous control, dexterous manipulation, and game development. Our approach to these problems often involve nonparametric models for dimension reduction, regression, and reinforcement learning. We apply our work to various applications including human-robot teams, humanoid robotics, robot soccer, and neural prostheses.