DroneARchery: Human-Drone Interaction through Augmented Reality with Haptic Feedback and Multi-UAV Collision Avoidance Driven by Deep Reinforcement Learning-Reference-Cited by-同舟云学术

DroneARchery: Human-Drone Interaction through Augmented Reality with Haptic Feedback and Multi-UAV Collision Avoidance Driven by Deep Reinforcement Learning

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
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Author:

Dorzhieva Ekaterina¹,Baza Ahmed¹,Gupta Ayush¹,Fedoseev Aleksey¹,Cabrera Miguel Altamirano¹,Karmanova Ekaterina¹,Tsetserukou Dzmitry¹

Affiliation:

1. Skolkovo Institute of Science and Technology,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994794/9994855/09995060.pdf?arnumber=9995060

Reference28 articles.

1. Haptic Interface with Linear Magnetorheological (MR) Brakes for Drone Control

2. SwarmPlay: Interactive Tic-tac-toe Board Game with Swarm of Nano-UAVs driven by Reinforcement Learning

3. Randomized Kinodynamic Planning

4. The Potential Field Approach And Operational Space Formulation In Robot Control

5. WareVR: Virtual Reality Interface for Supervision of Autonomous Robotic System Aimed at Warehouse Stocktaking

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