This full-day workshop will address perception-feedback loops for three dimensional, navigation by micro unmanned vehicles in urban environments. Areas of emphasis include vision-based control and estimation, design of processors, sensors and algorithms for size, weight and payload constraints, motion planning and control, and modeling and benchmarking of performance for three-dimensional navigation.
Monday, May 9, 2011 - Room 3B
Motivation and Objectives
Research and interest in the area of aerial robotics continues to grow as technology improves and the applicability of these systems becomes increasingly evident. Aerial robots offer mobility and sensing capabilities unavailable to ground robots and for this reason make them suitable for applications such as persistent surveillance, exploration, search and rescue, and transport/delivery of payloads in complex three-dimensional environments. Many challenges still exist in this area primarily due to vehicle dynamics and payload limitations.
One goal of this workshop is to bring together state-of-the-art research in the areas of control and estimation for aerial vehicles both in theory and experiments. Another goal is to analyze the state of the art of vision as a main sensor modality for navigation as alternative to laser and GPS based strategies. The workshop will also consider the design of processors and sensors for payload constraints and cooperative navigation in cluttered environments.
Call For Papers:
We are organizing a special issue of Autonomous Robots based on the content of the workshop and submissions from scholars in the community. For further details, please see the CFP.