Search Results for author:
Found 4 papers, 2 papers with code
Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields (NeRF)
This work investigates the use of Neural implicit representations, specifically Neural Radiance Fields (NeRF), for geometrical queries and motion planning.
Active Interaction Force Control for Contact-Based Inspection with a Fully Actuated Aerial Vehicle
A fully actuated and omnidirectional tilt-rotor aerial system is used to show capabilities of the control and planning methods.
Robotics
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments
However, they are prone to local minima, resulting in sub-optimal trajectories, and sometimes do not reach global coverage.
Revisiting Boustrophedon Coverage Path Planning as a Generalized Traveling Salesman Problem
In this paper, we present a path planner for low-altitude terrain coverage in known environments with unmanned rotary-wing micro aerial vehicles (MAVs).
Robotics
