Rosemary Emery
Papers
7
Total Citations
237
H-Index
5
About
Rosemary Emery is a pioneering researcher in mobile robotics, whose work has fundamentally advanced how robots perceive, model, and interact with their environments. Her key research areas include 3D environment modeling, multi-robot coordination, and behavior-based control. Emery’s most impactful contribution is her development of an Expectation-Maximization (EM) algorithm for generating compact 3D models of indoor spaces, published in her highly cited 2001 paper (146 citations). This work enabled mobile robots to efficiently create low-complexity planar models from range finder and panoramic camera data, a foundational technique for autonomous navigation and mapping. She also made significant strides in cooperative robotics, introducing protocols for collaboration and dynamic role assignment in robot teams (41 citations), and designing behavior-based control systems for non-holonomic robots in complex pushing tasks (31 citations). A member of the CMU Hammerheads robotic soccer team, Emery’s research bridges theoretical algorithms with practical, real-time applications. Her work remains essential reading for students and researchers in robotics, computer vision, and multi-agent systems, demonstrating how elegant algorithmic solutions can solve challenging problems in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Using EM to Learn 3D Models of Indoor Environments with Mobile Robots146 citations · 2001
- 2
- 3Behavior-based control of a non-holonomic robot in pushing tasks31 citations · 2002
- 4
- 5CMU Hammerheads Team Description5 citations · 2001
- 6CMU Hammerheads 2001 Team Description4 citations · 2002
- 7Using EM to Learn 3D Environment Models with Mobile Robots4 citations · 2007