20 citations · 22 across the 3 of their papers we have counts for
8 papers
Resilient Active Information Acquisition with Teams of Robots
Brent Schlotfeldt, Vasileios Tzoumas, George J. Pappas
Emerging applications of collaborative autonomy, such as Multi-Target Tracking, Unknown Map Exploration, and Persistent Surveillance, require robots plan paths to navigate an envir…
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams
Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi +3
This paper considers the problem of planning trajectories for a team of sensor-equipped robots to reduce uncertainty about a dynamical process. Optimizing the trade-off between inf…
Stochastic Motion Planning under Partial Observability for Mobile Robots with Continuous Range Measurements
Ke Sun, Brent Schlotfeldt, George Pappas +1
In this paper, we address the problem of stochastic motion planning under partial observability, more specifically, how to navigate a mobile robot equipped with continuous range se…
Feedback Enhanced Motion Planning for Autonomous Vehicles
Ke Sun, Brent Schlotfeldt, Stephen Chaves +3
In this work, we address the motion planning problem for autonomous vehicles through a new lattice planning approach, called Feedback Enhanced Lattice Planner (FELP). Existing latt…
Learning Q-network for Active Information Acquisition
Heejin Jeong, Brent Schlotfeldt, Hamed Hassani +3
In this paper, we propose a novel Reinforcement Learning approach for solving the Active Information Acquisition problem, which requires an agent to choose a sequence of actions in…
Optimal Algorithms for Submodular Maximization with Distributed Constraints
Alexander Robey, Arman Adibi, Brent Schlotfeldt +2
We consider a class of discrete optimization problems that aim to maximize a submodular objective function subject to a distributed partition matroid constraint. More precisely, we…