PhD openings are available in the PRACSYS lab at Rutgers University in
the areas of motion and task planning, multi-robot coordination, 3D
robot perception as well as applications of machine learning in robot
control. Application domains include robotic manipulation in
semi-structured and unstructured environments as well as controlling
novel robotic platforms that exhibit compliance and significant
dynamics. PhD students will have the opportunity to work on foundational
and/or applied aspects that will advance the use and understanding of
robotics in the corresponding application domains.
Regarding Robotics @ Rutgers
The robotics lab at Rutgers University provides access to
state-of-the-art robotics platforms, such as multiple dual-arm and
single-arm robotic manipulators, multiple mobile platforms as well as
adaptive, soft and vacuum-based end-effectors.
The PRACYS group is broadly working on algorithmic foundations of
robotics, ranging from planning to control and learning, and exciting
application domains, such as: a) collaborative manipulators that
effectively operate and interact in spaces designed for people and can
impact domains, such as logistics, manufacturing and service robotics;
b) novel platforms that take advantage of compliance, under-actuation
and soft material so as to safely operate in unstructured environments
and can impact applications, such as space exploration.
The Computer Science department at Rutgers is ranked 15th in robotics in
the US by CSRankings (csrankings.org). Rutgers University is
conveniently located 40 minutes away from New York City, 20 minutes from
a major international airport at Newark, NJ, and in close
proximity to many other top academic institutions that provide
opportunities for further interactions.
Students are expected to be self-driven and devoted to graduate study,
while exhibiting good communication and writing skills. Those interested
in fundamental research should ideally have strong quantitative
reasoning skills (e.g., algorithmic and mathematical) and some
programming experience. Those interested in more applied research should
ideally have strong programming skills (C++ and Python preferred) and
some exposure to robotics tools (e.g., ROS or others).
Interested prospective students (CS, ECE, ME, Aerospace, math are
preferred) can directly communicate with Dr. Kostas Bekris.
In the email, please include a current CV, transcript, GRE scores if
available, and a brief statement of interest.