activity
20182021
most citedTrajectory Planning Under Stochastic and Bounded Sensing Uncertainties Using Reachability Analysis

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2021

Improving GNSS Positioning using Neural Network-based Corrections

Ashwin V. Kanhere, Shubh Gupta, Akshay Shetty +1

Deep Neural Networks (DNNs) are a promising tool for Global Navigation Satellite System (GNSS) positioning in the presence of multipath and non-line-of-sight errors, owing to their…

cs.RO2021★ 2 cited

Decentralized Connectivity Maintenance for Multi-robot Systems Under Motion and Sensing Uncertainties

Akshay Shetty, Timmy Hussain, Grace Gao

Communication connectivity is desirable for safe and efficient operation of multi-robot systems. While decentralized algorithms for connectivity maintenance have been explored in r…

cs.RO2020★ 2 cited

Trajectory Planning Under Stochastic and Bounded Sensing Uncertainties Using Reachability Analysis

Akshay Shetty, Grace Xingxin Gao

Trajectory planning under uncertainty is an active research topic. Previous works predict state and state estimation uncertainties along trajectories to check for collision safety.…

cs.RO2020★ 1 cited

Connectivity Maintenance for Multi-Robot Systems Under Motion and Sensing Uncertainties Using Distributed ADMM-based Trajectory Planning

Akshay Shetty, Derek Knowles, Grace Xingxin Gao

Inter-robot communication enables multi-robot systems to coordinate and execute complex missions efficiently. Thus, maintaining connectivity of the communication network between ro…

cs.RO2018

UAV Pose Estimation using Cross-view Geolocalization with Satellite Imagery

Akshay Shetty, Grace Xingxin Gao

We propose an image-based cross-view geolocalization method that estimates the global pose of a UAV with the aid of georeferenced satellite imagery. Our method consists of two Siam…