13 citations · 18 across the 6 of their papers we have counts for
5 papers · 1 filter
Learning in Orbit: Onboard Training and Closed-Loop Attitude Control with a Thermal Segmentation Model on a Spacecraft
Elena Sorina Lupu, Hannah Grauer, Phaedrus Leeds +9
Deep space missions increasingly require spacecraft capable of autonomously operating in environments with communication delays and bandwidth limitations. A key enabler of such aut…
Environment-Aware Learning of Smooth GNSS Covariance Dynamics for Autonomous Racing
Y. Deemo Chen, Arion Zimmermann, Thomas A. Berrueta +1
Ensuring accurate and stable state estimation is a challenging task crucial to safety-critical domains such as high-speed autonomous racing, where measurement uncertainty must be b…
Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems
Benjamin Riviere, John Lathrop, Soon-Jo Chung
The ability of a robot to plan complex behaviors with real-time computation, rather than adhering to predesigned or offline-learned routines, alleviates the need for specialized al…
Motor Imagery Teleoperation of a Mobile Robot Using a Low-Cost Brain-Computer Interface for Multi-Day Validation
Yujin An, Daniel Mitchell, John Lathrop +2
Brain-computer interfaces (BCI) have the potential to provide transformative control in prosthetics, assistive technologies (wheelchairs), robotics, and human-computer interfaces.…
Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search
John Lathrop, Benjamin Rivi`ere, Jedidiah Alindogan +1
We present Model Predictive Trees (MPT), a receding horizon tree search algorithm that improves its performance by reusing information efficiently. Whereas existing solvers reuse o…