7 citations · 12 across the 8 of their papers we have counts for
8 papers
Neural Control Barrier Functions for Safe Navigation
Marvin Harms, Mihir Kulkarni, Nikhil Khedekar +2
Autonomous robot navigation can be particularly demanding, especially when the surrounding environment is not known and safety of the robot is crucial. This work relates to the syn…
Maritime Vessel Tank Inspection using Aerial Robots: Experience from the field and dataset release
Mihir Dharmadhikari, Nikhil Khedekar, Paolo De Petris +3
This paper presents field results and lessons learned from the deployment of aerial robots inside ship ballast tanks. Vessel tanks including ballast tanks and cargo holds present d…
Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding
Mihir Kulkarni, Kostas Alexis
This work contributes a novel deep navigation policy that enables collision-free flight of aerial robots based on a modular approach exploiting deep collision encoding and reinforc…
Aerial Field Robotics
Mihir Kulkarni, Brady Moon, Kostas Alexis +1
Aerial field robotics research represents the domain of study that aims to equip unmanned aerial vehicles - and as it pertains to this chapter, specifically Micro Aerial Vehicles (…
Autonomous Exploration and General Visual Inspection of Ship Ballast Water Tanks using Aerial Robots
Mihir Dharmadhikari, Paolo De Petris, Mihir Kulkarni +7
This paper presents a solution for the autonomous exploration and inspection of Ballast Water Tanks (BWTs) of marine vessels using aerial robots. Ballast tank compartments are crit…
Task-driven Compression for Collision Encoding based on Depth Images
Mihir Kulkarni, Kostas Alexis
This paper contributes a novel learning-based method for aggressive task-driven compression of depth images and their encoding as images tailored to collision prediction for roboti…