5 papers
MorphoMove: Bi-Modal Path Planner with MPC-based Path Follower for Multi-Limb Morphogenetic UAV
Muhammad Ahsan Mustafa, Yasheerah Yaqoot, Mikhail Martynov +2
This paper discusses developments for a multi-limb morphogenetic UAV, MorphoGear, that is capable of both aerial flight and ground locomotion. A hybrid path planning algorithm base…
AirNeRF: 3D Reconstruction of Human with Drone and NeRF for Future Communication Systems
Alexey Kotcov, Maria Dronova, Vladislav Cheremnykh +2
In the rapidly evolving landscape of digital content creation, the demand for fast, convenient, and autonomous methods of crafting detailed 3D reconstructions of humans has grown s…
MARLander: A Local Path Planning for Drone Swarms using Multiagent Deep Reinforcement Learning
Demetros Aschu, Robinroy Peter, Sausar Karaf +2
Achieving safe and precise landings for a swarm of drones poses a significant challenge, primarily attributed to conventional control and planning methods. This paper presents the…
DNFOMP: Dynamic Neural Field Optimal Motion Planner for Navigation of Autonomous Robots in Cluttered Environment
Maksim Katerishich, Mikhail Kurenkov, Sausar Karaf +2
Motion planning in dynamically changing environments is one of the most complex challenges in autonomous driving. Safety is a crucial requirement, along with driving comfort and sp…
MorphoLander: Reinforcement Learning Based Landing of a Group of Drones on the Adaptive Morphogenetic UAV
Sausar Karaf, Aleksey Fedoseev, Mikhail Martynov +3
This paper focuses on a novel robotic system MorphoLander representing heterogeneous swarm of drones for exploring rough terrain environments. The morphogenetic leader drone is cap…