3 papers
cs.RO2024
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…
cs.RO2024
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.…
cs.RO2024
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…