most citedA Contracting Hierarchical Observer for Pose-Inertial Fusion

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2023

Dynamic Adaptation Gains for Nonlinear Systems with Unmatched Uncertainties

Brett T. Lopez, Jean-Jacques Slotine

We present a new direct adaptive control approach for nonlinear systems with unmatched and matched uncertainties. The method relies on adjusting the adaptation gains of individual…

eess.SY2023

Adaptive Robust Control Contraction Metrics: Transient Bounds in Adaptive Control with Unmatched Uncertainties

Samuel G. Gessow, Brett T. Lopez

This work presents a new sufficient condition for synthesizing nonlinear controllers that yield bounded closed-loop tracking error transients despite the presence of unmatched unce…

cs.MA2023

Multi-Robot Task Assignment and Path Finding for Time-Sensitive Missions with Online Task Generation

David Thorne, Brett T. Lopez

Executing time-sensitive multi-robot missions involves two distinct problems: Multi-Robot Task Assignment (MRTA) and Multi-Agent Path Finding (MAPF). Computing safe paths that comp…

cs.RO20231 cited

Direct LiDAR-Inertial Odometry and Mapping: Perceptive and Connective SLAM

Kenny Chen, Ryan Nemiroff, Brett T. Lopez

This paper presents Direct LiDAR-Inertial Odometry and Mapping (DLIOM), a robust SLAM algorithm with an explicit focus on computational efficiency, operational reliability, and rea…

cs.RO20233 cited

A Contracting Hierarchical Observer for Pose-Inertial Fusion

Brett T. Lopez

This work presents a contracting hierarchical observer that fuses position and orientation measurements with an IMU to generate smooth position, linear velocity, orientation, and I…

cs.RO2023

Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments

Amanda Bouman, Joshua Ott, Sung-Kyun Kim +5

We present a method for solving the coverage problem with the objective of autonomously exploring an unknown environment under mission time constraints. Here, the robot is tasked w…