Control of Multi-Robot Systems
Goal: Develop scalable control strategies for multi-robot systems with limited information, e.g., no GPS, communication, or prior map of the environment. These include control strategies for collective payload transport, collective construction, swarm deployment, feature mapping, target tracking, and collision-free navigation.
Funding: Boston Fusion Corp.
Environment Mapping, 3D Reconstruction, Object Identification, and Image Classification
Goal: Develop visual inertial odometry and neural network-based techniques for simultaneous localization and mapping (SLAM), 3D reconstruction, and object identification by mobile robots in feature-poor environments, and for automatic classification of histopathological images.
Funding: Boston Fusion Corp., Mitsubishi Electric Research Laboratories, ASU Luminosity Lab