Experts on Unmanned Aerial Vehicles (UAV)
Unmanned aerial vehicles are drones (UAVs) and other aircraft that are capable of operating without onboard pilots. UAVs are already playing active roles in a wide range of industries, including law enforcement, the military, film and television production, and scientific research (an unmanned helicopter has even flown on Mars), and are expected to find a wider array of applications in the future. WPI experts on unmanned aerial vehicles can discuss autonomy in unmanned vehicles, methods for controlling UAVs and allowing them to cooperate in search and rescue missions and creating swarms of autonomous vehicles in space, among other topics.
Raghvendra V. Cowlagi
- Associate Professor Aerospace Engineering
Professor Cowlagi's research addresses various aspects of autonomy of mobile vehicles such as unmanned aerial vehicles and self-driving cars, including how such vehicles understand their environments and make independent decisions.
Nikolaos A. Gatsonis
- Professor & Department Head Aerospace Engineering
Professor Gatsonis’ research entails the development of continuum, atomistic and hybrid models, and computational methods for fluids, gases and plasmas in regimes that range from nanoscale to macroscale and low- speed to hypersonic. He applies these
Cagdas Onal
- Associate Professor Robotics Engineering
Professor Onal conducts research in soft robotics, a largely underexplored area of robotics that has significance in medicine, manufacturing, and disaster response. Soft robots could potentially be deployed in search-and-rescue missions, as intelligent
Carlo Pinciroli
- Associate Professor/Graduate Coordinator Robotics Engineering
Professor Pinciroli's research focuses on designing innovative tools for swarm robotics. The ultimate goal of my work is to create a resilient, easily deployable hardware/software robotic infrastructure for dangerous missions such as disaster response,
Erin Solovey
- Associate Professor Computer Science
Much of Professor Solovey's work explores effective human interaction with complex and autonomous systems and vehicles. One focus of research is on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, and
Alexander Wyglinski
- Associate Dean of Graduate Studies Electrical & Computer Engineering
Professor Wyglinski's work focuses on devising new, reliable, and robust wireless communications using artificial intelligence and machine learning. Given society's growing reliance on wireless connectivity, it is important that wireless communications
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