1 citations · 1 across the 11 of their papers we have counts for
11 papers
HyperSurf: Quadruped Robot Leg Capable of Surface Recognition with GRU and Real-to-Sim Transferring
Sergei Satsevich, Yaroslav Savotin, Danil Belov +7
This paper introduces a system of data collection acceleration and real-to-sim transferring for surface recognition on a quadruped robot. The system features a mechanical single-le…
TornadoDrone: Bio-inspired DRL-based Drone Landing on 6D Platform with Wind Force Disturbances
Robinroy Peter, Lavanya Ratnabala, Demetros Aschu +2
Autonomous drone navigation faces a critical challenge in achieving accurate landings on dynamic platforms, especially under unpredictable conditions such as wind turbulence. Our r…
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…
FlyNeRF: NeRF-Based Aerial Mapping for High-Quality 3D Scene Reconstruction
Maria Dronova, Vladislav Cheremnykh, Alexey Kotcov +2
Current methods for 3D reconstruction and environmental mapping frequently face challenges in achieving high precision, highlighting the need for practical and effective solutions.…
MorphoGear: An UAV with Multi-Limb Morphogenetic Gear for Rough-Terrain Locomotion
Mikhail Martynov, Zhanibek Darush, Aleksey Fedoseev +1
Robots able to run, fly, and grasp have a high potential to solve a wide scope of tasks and navigate in complex environments. Several mechatronic designs of such robots with adapti…
Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic Platform Landings
Robinroy Peter, Lavanya Ratnabala, Demetros Aschu +2
Mastering autonomous drone landing on dynamic platforms presents formidable challenges due to unpredictable velocities and external disturbances caused by the wind, ground effect,…