7 citations · 7 across the 7 of their papers we have counts for
6 papers · 1 filter
Enhancing Sample Efficiency and Uncertainty Compensation in Learning-based Model Predictive Control for Aerial Robots
Kong Yao Chee, Thales C. Silva, M. Ani Hsieh +1
The recent increase in data availability and reliability has led to a surge in the development of learning-based model predictive control (MPC) frameworks for robot systems. Despit…
Active Collaborative Localization in Heterogeneous Robot Teams
Igor Spasojevic, Xu Liu, Alejandro Ribeiro +2
Accurate and robust state estimation is critical for autonomous navigation of robot teams. This task is especially challenging for large groups of size, weight, and power (SWAP) co…
Resilient Temporal Logic Planning in the Presence of Robot Failures
Samarth Kalluraya, George J. Pappas, Yiannis Kantaros
Several task and motion planning algorithms have been proposed recently to design paths for mobile robot teams with collaborative high-level missions specified using formal languag…
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents
Anushri Dixit, Lars Lindemann, Skylar Wei +3
This paper proposes an algorithm for motion planning among dynamic agents using adaptive conformal prediction. We consider a deterministic control system and use trajectory predict…
Resilient Consensus via Voronoi Communication Graphs
Kelsey Saulnier, Lifeng Zhou, George Pappas +1
Consensus algorithms form the foundation for many distributed algorithms by enabling multiple robots to converge to consistent estimates of global variables using only local commun…
Reactive Informative Planning for Mobile Manipulation Tasks under Sensing and Environmental Uncertainty
Mariliza Tzes, Vasileios Vasilopoulos, Yiannis Kantaros +1
In this paper we address mobile manipulation planning problems in the presence of sensing and environmental uncertainty. In particular, we consider mobile sensing manipulators oper…