Welcome to the PRACSYS lab headed by Dr. Kostas Bekris. We are members of the Computer Science department at Rutgers University. We work in algorithmic robotics, which deals with the development of algorithms for motion and task planning, perception, control and learning. The focus is on efficiently computing safe and effective motions for robots, especially in the context of manipulation challenges and for novel robotic platforms that exhibit significant dynamics or compliance. We are also interested in multi-robot challenges, where many robots have to operate in the same environment or they have to coexist and coordinate with people.
Our research has been supported by the National Science Foundation (NSF), the National Aeronautics and Space Administration (NASA), the Department of Homeland Security (DHS) and the Department of Defense (DoD).
The lab is affiliated with the following centers:
- Rutgers Center for Computational Biomedicine, Imaging, and Modeling (CBIM)
- Rutgers Center for Cognitive Science
- DHS Command, Control and Interoperability Center for Advanced Data Analysis (CCICADA)
PRACSYS stands for "Physics-aware Research for Autonomous Computational SYStems" and is pronounced like the Greek word for "action" (πρᾱξις). In Ancient Greek the word praxis (πρᾶξις) referred to activity engaged in by free men. Aristotle held that there were three basic activities of man that corresponded to three types of knowledge: theoria (theoretical), poiesis (poetic), and praxis (practical), to which the end goal was action.
Any opinions, findings and conclusions or recommendations expressed in this website are those of the PRACSYS group and do not necessarily reflect the views of the sponsors.