1 citations · 6 across the 9 of their papers we have counts for
9 papers
Recursive Deep Inverse Reinforcement Learning
Paul Ghanem, Owen Howell, Michael Potter +4
Inferring an adversary's goals from exhibited behavior is crucial for counterplanning and non-cooperative multi-agent systems in domains like cybersecurity, military, and strategy…
Learning Physics Informed Neural ODEs With Partial Measurements
Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba +3
Learning dynamics governing physical and spatiotemporal processes is a challenging problem, especially in scenarios where states are partially measured. In this work, we tackle the…
Continuously Optimizing Radar Placement with Model Predictive Path Integrals
Michael Potter, Shuo Tang, Paul Ghanem +8
Continuously optimizing sensor placement is essential for precise target localization in various military and civilian applications. While information theory has shown promise in o…
How Strong a Kick Should be to Topple Northeastern's Tumbling Robot?
Adarsh Salagame, Neha Bhattachan, Andre Caetano +16
Rough terrain locomotion has remained one of the most challenging mobility questions. In 2022, NASA's Innovative Advanced Concepts (NIAC) Program invited US academic institutions t…
Hovering Control of Flapping Wings in Tandem with Multi-Rotors
Aniket Dhole, Bibek Gupta, Adarsh Salagame +7
This work briefly covers our efforts to stabilize the flight dynamics of Northeastern's tailless bat-inspired micro aerial vehicle, Aerobat. Flapping robots are not new. A plethora…
Unsteady aerodynamic modeling of Aerobat using lifting line theory and Wagner's function
Eric Sihite, Paul Ghanem, Adarsh Salagame +1
Flying animals possess highly complex physical characteristics and are capable of performing agile maneuvers using their wings. The flapping wings generate complex wake structures…
Bang-Bang Control Of A Tail-less Morphing Wing Flight
Eric Sihite, Xintao Hu, Bozhen Li +3
Bats' dynamic morphing wings are known to be extremely high-dimensional, and they employ the combination of inertial dynamics and aerodynamics manipulations to showcase extremely a…
Efficient Path Planning and Tracking for Multi-Modal Legged-Aerial Locomotion Using Integrated Probabilistic Road Maps (PRM) and Reference Governors (RG)
Eric Sihite, Benjamin Mottis, Paul Ghanem +2
There have been several successful implementations of bio-inspired legged robots that can trot, walk, and hop robustly even in the presence of significant unplanned disturbances. D…
Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules
Paul Ghanem, Yunus Bicer, Deniz Erdogmus +1
Fluidic locomotion of flapping Micro Aerial Vehicles (MAVs) can be very complex, particularly when the rules from insect flight dynamics (fast flapping dynamics and light wings) ar…