Distributed Algorithms for Constrained Multi-robot Dynamic Task Assignment with Formal Performance Guarantees
Event Location: NSH 1305Abstract: The task assignment problem is one of the fundamental combinatorial optimization problems. It has been extensively studied in operation research, management science, computer science and robotics. In multi-robot systems (MRS), there are various applications of task assignment, such as environmental monitoring, search and rescue, disaster response, extraterrestrial exploration, sensing data collection [...]
Inheriting and Evolving the Infrastructure for Systems and Devices of Humanoid and Home Assistance
Event Location: NSH 1305Bio: Masayuki Inaba is a Professor at the Graduate School of Information Science and Technology at the University of Tokyo. He received B.S of Mechanical Engineering in 1981, M.S and Dr. Degrees of Information Engineering from The University of Tokyo in 1983 and 1986 respectively. He was appointed as a lecturer in [...]
Visual Outdoor Perception for Micro Aerial Vehicles
Event Location: NSH 1305Bio: Andreas Wendel received his B.Sc. and M.Sc. degree in Telematics (computer science and electrical engineering) from Graz University of Technology in 2007 and 2009, respectively. His studies were focused on computer vision and cognitive signal processing and he finished with highest distinction. Currently he is the head of the Aerial Vision [...]
Fast and Graceful Balancing Mobile Robots
Event Location: NSH 1305Abstract: Personal mobile robots will soon be operating and closely interacting with us in human environments. Balancing mobile robots can be effective personal robots as they can be tall enough for eye-level interaction and narrow enough to navigate cluttered environments, and they also have the dynamic capabilities to move with speed and [...]
Distributed Planning Under Uncertainty for Large Teams
Event Location: NSH 1305Abstract: In many domains, teams of hundreds of agents must cooperatively plan to perform tasks in a complex, uncertain environment. This requires that each agent take into account teammates' states, observations, and actions when making decisions about its own actions. Naively, finding a good policy involves searching this large joint space, but [...]