101 citations · 146 across the 12 of their papers we have counts for
12 papers
SGM-SLAM: Scene Graph Matching for Data-Efficient Distributed SLAM
Yewei Huang, Tixiao Shan, Abhinav Rajvanshi +4
We introduce a data-efficient distributed Simultaneous Localization and Mapping (SLAM) framework for multi-robot operation in GPS-denied and communication-constrained environments.…
SayCoNav: Utilizing Large Language Models for Adaptive Collaboration in Decentralized Multi-Robot Navigation
Abhinav Rajvanshi, Pritish Sahu, Tixiao Shan +2
Adaptive collaboration is critical to a team of autonomous robots to perform complicated navigation tasks in large-scale unknown environments. An effective collaboration strategy s…
Graph2Nav: 3D Object-Relation Graph Generation to Robot Navigation
Tixiao Shan, Abhinav Rajvanshi, Niluthpol Mithun +1
We propose Graph2Nav, a real-time 3D object-relation graph generation framework, for autonomous navigation in the real world. Our framework fully generates and exploits both 3D obj…
Virtual Maps for Autonomous Exploration of Cluttered Underwater Environments
Jinkun Wang, Fanfei Chen, Yewei Huang +3
We consider the problem of autonomous mobile robot exploration in an unknown environment, taking into account a robot's coverage rate, map uncertainty, and state estimation uncerta…
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Tixiao Shan, Brendan Englot, Carlo Ratti +1
We propose a framework for tightly-coupled lidar-visual-inertial odometry via smoothing and mapping, LVI-SAM, that achieves real-time state estimation and map-building with high ac…
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty
Fanfei Chen, Paul Szenher, Yewei Huang +4
This paper studies the problem of autonomous exploration under localization uncertainty for a mobile robot with 3D range sensing. We present a framework for self-learning a high-pe…
Robust Place Recognition using an Imaging Lidar
Tixiao Shan, Brendan Englot, Fabio Duarte +2
We propose a methodology for robust, real-time place recognition using an imaging lidar, which yields image-quality high-resolution 3D point clouds. Utilizing the intensity reading…
A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways
Tixiao Shan, Wei Wang, Brendan Englot +2
We propose a novel receding horizon planner for an autonomous surface vehicle (ASV) performing path planning in urban waterways. Feasible paths are found by repeatedly generating a…
Roboat II: A Novel Autonomous Surface Vessel for Urban Environments
Wei Wang, Tixiao Shan, Pietro Leoni +4
This paper presents a novel autonomous surface vessel (ASV), called Roboat II for urban transportation. Roboat II is capable of accurate simultaneous localization and mapping (SLAM…
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Tixiao Shan, Brendan Englot, Drew Meyers +3
We propose a framework for tightly-coupled lidar inertial odometry via smoothing and mapping, LIO-SAM, that achieves highly accurate, real-time mobile robot trajectory estimation a…
Simulation-based Lidar Super-resolution for Ground Vehicles
Tixiao Shan, Jinkun Wang, Fanfei Chen +2
We propose a methodology for lidar super-resolution with ground vehicles driving on roadways, which relies completely on a driving simulator to enhance, via deep learning, the appa…
A Lexicographic Search Method for Multi-Objective Motion Planning
Tixiao Shan, Brendan Englot
We propose a novel method for multi-objective motion planning problems by leveraging the paradigm of lexicographic optimization and applying it for the first time to graph search o…