1 citations · 1 across the 9 of their papers we have counts for
9 papers
HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning
Lavanya Ratnabala, Robinroy Peter, Aleksey Fedoseev +1
This paper tackles decentralized continuous task allocation in heterogeneous multi-agent systems. We present a novel framework HIPPO-MAT that integrates graph neural networks (GNN)…
MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
Lavanya Ratnabala, Aleksey Fedoseev, Robinroy Peter +1
This paper addresses the challenge of decentralized task allocation within heterogeneous multi-agent systems operating under communication constraints. We introduce a novel framewo…
Dynamic Subgoal based Path Formation and Task Allocation: A NeuroFleets Approach to Scalable Swarm Robotics
Robinroy Peter, Lavanya Ratnabala, Eugene Yugarajah Andrew Charles +1
This paper addresses the challenges of exploration and navigation in unknown environments from the perspective of evolutionary swarm robotics. A key focus is on path formation, whi…
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…
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,…
CognitiveOS: Large Multimodal Model based System to Endow Any Type of Robot with Generative AI
Artem Lykov, Mikhail Konenkov, Koffivi Fidèle Gbagbe +6
This paper introduces CognitiveOS, the first operating system designed for cognitive robots capable of functioning across diverse robotic platforms. CognitiveOS is structured as a…
Evolutionary Swarm Robotics: Dynamic Subgoal-Based Path Formation and Task Allocation for Exploration and Navigation in Unknown Environments
Lavanya Ratnabala, Robinroy Peter, E. Y. A. Charles
This research paper addresses the challenges of exploration and navigation in unknown environments from an evolutionary swarm robotics perspective. Path formation plays a crucial r…
NeuroSwarm: Multi-Agent Neural 3D Scene Reconstruction and Segmentation with UAV for Optimal Navigation of Quadruped Robot
Iana Zhura, Denis Davletshin, Nipun Dhananjaya Weerakkodi Mudalige +3
Quadruped robots have the distinct ability to adapt their body and step height to navigate through cluttered environments. Nonetheless, for these robots to utilize their full poten…