activity
20222025
most citedActive Metric-Semantic Mapping by Multiple Aerial Robots

22 citations · 24 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

Heterogeneous Robot Collaboration in Unstructured Environments with Grounded Generative Intelligence

Zachary Ravichandran, Fernando Cladera, Ankit Prabhu +6

While heterogeneous teams have typically been designed for well-specified missions with known semantics, generative intelligence, i.e., large language models (LLMs) and vision lang…

cs.RO2024

Spatio-Temporal Metric-Semantic Mapping for Persistent Orchard Monitoring: Method and Dataset

Jiuzhou Lei, Ankit Prabhu, Xu Liu +5

Monitoring orchards at the individual tree or fruit level throughout the growth season is crucial for plant phenotyping and horticultural resource optimization, such as chemical us…

cs.RO2024★ 1 cited

SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multi-Robot Navigation

Xu Liu, Jiuzhou Lei, Ankit Prabhu +5

This paper develops a real-time decentralized metric-semantic SLAM algorithm that enables a heterogeneous robot team to collaboratively construct object-based metric-semantic maps.…

cs.RO2023★ 1 cited

TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards

Derek Cheng, Fernando Cladera Ojeda, Ankit Prabhu +6

Data collection for forestry, timber, and agriculture currently relies on manual techniques which are labor-intensive and time-consuming. We seek to demonstrate that robotics offer…

cs.RO2023

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…

cs.RO2022★ 22 cited

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…