5 citations · 8 across the 4 of their papers we have counts for
4 papers
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
Hanlin Niu, Ze Ji, Farshad Arvin +3
This paper presents a sensor-level mapless collision avoidance algorithm for use in mobile robots that map raw sensor data to linear and angular velocities and navigate in an unkno…
Cooperative Pollution Source Localization and Cleanup with a Bio-inspired Swarm Robot Aggregation
Arash S. Amjadi, Mohsen Raoufi, Ali E. Turgut +3
Using robots for exploration of extreme and hazardous environments has the potential to significantly improve human safety. For example, robotic solutions can be deployed to find t…
Self-organized Collective Motion with a Simulated Real Robot Swarm
Mohsen Raoufi, Ali Emre Turgut, Farshad Arvin
Collective motion is one of the most fascinating phenomena observed in the nature. In the last decade, it aroused so much attention in physics, control and robotics fields. In part…
Omnipotent Virtual Giant for Remote Human-Swarm Interaction
Inmo Jang, Junyan Hu, Farshad Arvin +2
This paper proposes an intuitive human-swarm interaction framework inspired by our childhood memory in which we interacted with living ants by changing their positions and environm…