1 citations · 1 across the 3 of their papers we have counts for
3 papers
Progress Constraints for Reinforcement Learning in Behavior Trees
Finn Rietz, Mart Kartašev, Petter Ögren +1
Behavior Trees (BTs) provide a structured and reactive framework for decision-making, commonly used to switch between sub-controllers based on environmental conditions. Reinforceme…
SMaRCSim: Maritime Robotics Simulation Modules
Mart Kartašev, David Dörner, Özer Özkahraman +3
Developing new functionality for underwater robots and testing them in the real world is time-consuming and resource-intensive. Simulation environments allow for rapid testing befo…
Multi-Agent Obstacle Avoidance using Velocity Obstacles and Control Barrier Functions
Alejandro Sánchez Roncero, Rafael I. Cabral Muchacho, Petter Ögren
Velocity Obstacles (VO) methods form a paradigm for collision avoidance strategies among moving obstacles and agents. While VO methods perform well in simple multi-agent environmen…