TALKER: A Task-Activated Language model based Knowledge-Extension Reasoning system
J Lou, R Shi, Y Lin, Q Wang… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Training drones to execute complex collective tasks via multi-agent reinforcement learning
presents significant challenges. To address these challenges, this paper introduces the Task …
presents significant challenges. To address these challenges, this paper introduces the Task …
MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation
Multi-agent reinforcement learning is a key method for training multi-robot systems over a
series of episodes in which robots are rewarded or punished according to their performance; …
series of episodes in which robots are rewarded or punished according to their performance; …
Large Language Model-based Decision-making for COLREGs and the Control of Autonomous Surface Vehicles
In the field of autonomous surface vehicles (ASVs), devising decision-making and obstacle
avoidance solutions that address maritime COLREGs (Collision Regulations), primarily …
avoidance solutions that address maritime COLREGs (Collision Regulations), primarily …
Recent Advances in Demand Responsive Transport: Opportunities with Autonomous Bus Service-A System-of-Systems Overview
S Fadleseed, P Sarhadi, S Ramalingam, H Gan… - 2024 - researchprofiles.herts.ac.uk
This study explores recent advancements in emerging technologies for Demand
Responsive Transport (DRT) and the potential integration of autonomous bus services. We …
Responsive Transport (DRT) and the potential integration of autonomous bus services. We …