69 citations · 462 across the 66 of their papers we have counts for
9 papers · 1 filter
Design of a Ballistically-Launched Foldable Multirotor
Daniel Pastor, Jacob Izraelevitz, Paul Nadan +3
The operation of multirotors in crowded environments requires a highly reliable takeoff method, as failures during takeoff can damage more valuable assets nearby. The addition of a…
Design and Autonomous Stabilization of a Ballistically Launched Multirotor
Amanda Bouman, Paul Nadan, Matthew Anderson +4
Aircraft that can launch ballistically and convert to autonomous, free flying drones have applications in many areas such as emergency response, defense, and space exploration, whe…
Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control
Carl Folkestad, Daniel Pastor, Igor Mezic +3
This paper presents a novel learning framework to construct Koopman eigenfunctions for unknown, nonlinear dynamics using data gathered from experiments. The learning framework can…
Preference-Based Learning for Exoskeleton Gait Optimization
Maegan Tucker, Ellen Novoseller, Claudia Kann +4
This paper presents a personalized gait optimization framework for lower-body exoskeletons. Rather than optimizing numerical objectives such as the mechanical cost of transport, ou…
Energy-Efficient Motion Planning for Multi-Modal Hybrid Locomotion
H. J. Terry Suh, Xiaobin Xiong, Andrew Singletary +2
Hybrid locomotion, which combines multiple modalities of locomotion within a single robot, enables robots to carry out complex tasks in diverse environments. This paper presents a…
Dueling Posterior Sampling for Preference-Based Reinforcement Learning
Ellen R. Novoseller, Yibing Wei, Yanan Sui +2
In preference-based reinforcement learning (RL), an agent interacts with the environment while receiving preferences instead of absolute feedback. While there is increasing researc…