2023 - Research.com Computer Science in United States Leader Award
2023 - Research.com Electronics and Electrical Engineering in United States Leader Award
2022 - Research.com Best Female Scientist Award
2020 - Fellow of the American Association for the Advancement of Science (AAAS)
2017 - Fellow of the American Academy of Arts and Sciences
2015 - Member of the National Academy of Engineering For contributions to distributed robotic systems.
2014 - ACM Fellow For contributions to robotics and sensor networks.
2010 - IEEE Fellow For contributions to distributed and modular robotics
2009 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the theory and practice of distributed robotics, agents, and sensor networks.
2002 - Fellow of the MacArthur Foundation
1998 - Fellow of Alfred P. Sloan Foundation
Her main research concerns Robot, Mobile robot, Artificial intelligence, Control engineering and Wireless sensor network. A large part of her Robot studies is devoted to Motion planning. Her Mobile robot study deals with Task intersecting with State.
Her work on Artificial intelligence is being expanded to include thematically relevant topics such as Computer vision. In general Control engineering study, her work on Control theory often relates to the realm of Control, thereby connecting several areas of interest. Her biological study spans a wide range of topics, including Node, Key distribution in wireless sensor networks, Real-time computing and Distributed computing.
Her primary scientific interests are in Robot, Artificial intelligence, Mobile robot, Control engineering and Distributed computing. Her research in Robot focuses on subjects like Modular design, which are connected to Self-reconfiguring modular robot. Her Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Task and Computer vision.
Her Control engineering study frequently involves adjacent topics like Actuator. Her Distributed computing study which covers Wireless sensor network that intersects with Key distribution in wireless sensor networks. Her study looks at the relationship between Motion planning and topics such as Mathematical optimization, which overlap with Temporal logic.
Her scientific interests lie mostly in Artificial intelligence, Robot, Deep learning, Artificial neural network and Soft robotics. In general Artificial intelligence, her work in Robustness is often linked to Context linking many areas of study. Her work in Robot tackles topics such as Graph which are related to areas like Theoretical computer science.
Daniela Rus has researched Deep learning in several fields, including End-to-end principle, Robot learning, Real-time computing and Pruning. Soft robotics is a subfield of Actuator that Daniela Rus tackles. Daniela Rus has researched Computer vision in several fields, including Function and Lidar.
Her primary areas of study are Artificial intelligence, Robot, Deep learning, Artificial neural network and Machine learning. Within one scientific family, Daniela Rus focuses on topics pertaining to Computer vision under Artificial intelligence, and may sometimes address concerns connected to Odometry and Lidar. The various areas that Daniela Rus examines in her Robot study include Control engineering and Sample.
Her Deep learning study combines topics in areas such as Robot learning, Leverage and Pruning. Her Machine learning research is multidisciplinary, incorporating elements of Task, Inference, Visual control and Code. Her study explores the link between Actuator and topics such as GRASP that cross with problems in Robotics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Design, fabrication and control of soft robots
Daniela L. Rus;Michael T. Tolley.
Robust distributed network localization with noisy range measurements
David Moore;John Leonard;Daniela Rus;Seth Teller.
international conference on embedded networked sensor systems (2004)
Global clock synchronization in sensor networks
Qun Li;D. Rus.
IEEE Transactions on Computers (2006)
Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]
M. Yim;Wei-Min Shen;B. Salemi;D. Rus.
IEEE Robotics & Automation Magazine (2007)
On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
Javier Alonso-Mora;Samitha Samaranayake;Alex Wallar;Emilio Frazzoli.
Proceedings of the National Academy of Sciences of the United States of America (2017)
A method for building self-folding machines
S. Felton;M. Tolley;E. Demaine;D. Rus.
Data collection, storage, and retrieval with an underwater sensor network
I. Vasilescu;K. Kotay;D. Rus;M. Dunbabin.
international conference on embedded networked sensor systems (2005)
Autonomous Soft Robotic Fish Capable of Escape Maneuvers Using Fluidic Elastomer Actuators.
Andrew D. Marchese;Cagdas D. Onal;Daniela Rus.
Soft robotics (2014)
Online power-aware routing in wireless Ad-hoc networks
Qun Li;Javed Aslam;Daniela Rus.
acm/ieee international conference on mobile computing and networking (2001)
Programmable matter by folding
E. Hawkes;B. An;N. M. Benbernou;H. Tanaka.
Proceedings of the National Academy of Sciences of the United States of America (2010)
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