About

Carla Koike is a robotics researcher whose work spans autonomous navigation, probabilistic reasoning, and bio-inspired robotic systems. She is perhaps best known for her contributions to the CyCab project, a car-like autonomous robot designed to navigate safely among pedestrians in urban environments. Her most cited work, "The CyCab: a car-like robot navigating autonomously and safely among pedestrians" (2004, 56 citations), showcases her expertise in developing practical autonomous systems using bi-steerable vehicle kinematics — a double-steering structure that enhances maneuverability in cluttered, real-world settings. A recurring theme in Koike's research is the application of Bayesian programming to robotics challenges. Her work on probabilistic collision avoidance demonstrates a rigorous mathematical approach to robot safety, while her 2008 paper on Bayesian action selection and attention focusing extends this methodology to cognitive robotics. More recently, she has broadened her scope to include modular and bio-inspired robotics, exploring snake-like locomotion and reconfigurable systems, as well as STEM education through robotics-integrated interdisciplinary teacher training. Koike's career reflects a sustained commitment to making autonomous systems both intelligent and practically safe, with research spanning foundational algorithms to educational applications.

Research Focus

Key Achievements

5
H-Index
9
Papers
101
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
The CyCab: a car-like robot navigating autonomously and safely among pedestrians
56 citations · 2004
📈 Most Prolific Year: 2004 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Centre Inria de l'Université Grenoble Alpes, Institut national de recherche en sciences et technologies du numérique, Universidade de Brasília

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago