133 citations · 467 across the 18 of their papers we have counts for
6 papers · 1 filter
3D Active Metric-Semantic SLAM
Yuezhan Tao, Xu Liu, Igor Spasojevic +2
In this letter, we address the problem of exploration and metric-semantic mapping of multi-floor GPS-denied indoor environments using Size Weight and Power (SWaP) constrained aeria…
Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles
Igor Spasojevic, Xu Liu, Ankit Prabhu +3
This paper addresses the problem of active collaborative localization in heterogeneous robot teams with unknown data association. It involves positioning a small number of identica…
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…
Active Metric-Semantic Mapping by Multiple Aerial Robots
Xu Liu, Ankit Prabhu, Fernando Cladera +4
Traditional approaches for active mapping focus on building geometric maps. For most real-world applications, however, actionable information is related to semantically meaningful…
Experiments in Adaptive Replanning for Fast Autonomous Flight in Forests
Laura Jarin-Lipschitz, Xu Liu, Yuezhan Tao +1
Fast, autonomous flight in unstructured, cluttered environments such as forests is challenging because it requires the robot to compute new plans in realtime on a computationally-c…
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving
Fei Gao, Peng Geng, Jiaqi Guo +7
We introduce ApolloRL, an open platform for research in reinforcement learning for autonomous driving. The platform provides a complete closed-loop pipeline with training, simulati…