activity
20172023
most citedFast, Autonomous Flight in GPS-Denied and Cluttered Environments

202 citations · 239 across the 5 of their papers we have counts for

collaborators
Showing cs.ROShow all

8 papers · 1 filter

cs.RO2023★ 2 cited

MARC: Multipolicy and Risk-aware Contingency Planning for Autonomous Driving

Tong Li, Lu Zhang, Sikang Liu +1

Generating safe and non-conservative behaviors in dense, dynamic environments remains challenging for automated vehicles due to the stochastic nature of traffic participants' behav…

cs.RO2018

Towards Search-based Motion Planning for Micro Aerial Vehicles

Sikang Liu, Kartik Mohta, Nikolay Atanasov +1

Search-based motion planning has been used for mobile robots in many applications. However, it has not been fully developed and applied for planning full state trajectories of Micr…

cs.RO2018

The Open Vision Computer: An Integrated Sensing and Compute System for Mobile Robots

Morgan Quigley, Kartik Mohta, Shreyas S. Shivakumar +8

In this paper we describe the Open Vision Computer (OVC) which was designed to support high speed, vision guided autonomous drone flight. In particular our aim was to develop a sys…

cs.RO2018

Experiments in Fast, Autonomous, GPS-Denied Quadrotor Flight

Kartik Mohta, Ke Sun, Sikang Liu +6

High speed navigation through unknown environments is a challenging problem in robotics. It requires fast computation and tight integration of all the subsystems on the robot such…

cs.RO2018★ 17 cited

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

Ke Sun, Kartik Mohta, Bernd Pfrommer +5

In recent years, vision-aided inertial odometry for state estimation has matured significantly. However, we still encounter challenges in terms of improving the computational effic…

cs.RO2017★ 202 cited

Fast, Autonomous Flight in GPS-Denied and Cluttered Environments

Kartik Mohta, Michael Watterson, Yash Mulgaonkar +14

One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little…