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Related papers: SwarmTouch: Guiding a Swarm of Micro-Quadrotors wi…

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We propose a novel interaction strategy for a human-swarm communication when a human operator guides a formation of quadrotors with impedance control and receives vibrotactile feedback. The presented approach takes into account the human…

Robotics · Computer Science 2019-09-10 Evgeny Tsykunov , Luiza Labazanova , Akerke Tleugazy , Dzmitry Tsetserukou

We propose a novel system SwarmCloak for landing of a fleet of four flying robots on the human arms using light-sensitive landing pads with vibrotactile feedback. We developed two types of wearable tactile displays with vibromotors which…

To achieve high fidelity haptic rendering of soft objects in a high mobility virtual environment, we propose a novel haptic display DandelionTouch. The tactile actuators are delivered to the fingertips of the user by a swarm of drones.…

We propose a concept of a novel interaction strategy for providing rich haptic feedback in Virtual Reality (VR), when each user's finger is connected to micro-quadrotor with a wire. Described technology represents the first flying wearable…

Robotics · Computer Science 2019-11-13 Evgeny Tsykunov , Dzmitry Tsetserukou

For the human operator, it is often easier and faster to catch a small size quadrotor right in the midair instead of landing it on a surface. However, interaction strategies for such cases have not yet been considered properly, especially…

Teleoperation tasks with multi-agent systems have a high potential in supporting human-swarm collaborative teams in exploration and rescue operations. However, it requires an intuitive and adaptive control approach to ensure swarm stability…

We propose a novel human-swarm interaction system, allowing the user to directly control a swarm of drones in a complex environment through trajectory drawing with a hand gesture interface based on the DNN-based gesture recognition. The…

Prior works in human-swarm interaction (HSI) have sought to guide swarm behavior towards established objectives, but may be unable to handle specific scenarios that require finer human supervision, variable autonomy, or application to…

Robotics · Computer Science 2024-02-08 Spencer Barclay , Kshitij Jerath

Human-to-human communications are enriched with affects and emotions, conveyed, and perceived through both verbal and nonverbal communication. It is our thesis that drone swarms can be used to communicate information enriched with effects…

Robotics · Computer Science 2020-07-14 Kasper Grispino , Damian Lyons , Truong-Huy Nguyen

Swarms of robots will revolutionize many industrial applications, from targeted material delivery to precision farming. Controlling the motion and behavior of these swarms presents unique challenges for human operators, who cannot yet…

Robotics · Computer Science 2018-10-24 Eduardo Castelló Ferrer

We propose a novel Human-Swarm Interaction (HSI) framework which enables the user to control a swarm shape and formation. The user commands the swarm utilizing just arm gestures and motions which are recorded by an off-the-shelf wearable…

Robotics · Computer Science 2018-04-25 Aamodh Suresh , Sonia Martinez

We present Neural-Swarm2, a learning-based method for motion planning and control that allows heterogeneous multirotors in a swarm to safely fly in close proximity. Such operation for drones is challenging due to complex aerodynamic…

Robotics · Computer Science 2021-07-19 Guanya Shi , Wolfgang Hönig , Xichen Shi , Yisong Yue , Soon-Jo Chung

We present an intuitive human-drone interaction system that utilizes a gesture-based motion controller to enhance the drone operation experience in real and simulated environments. The handheld motion controller enables natural control of…

Robotics · Computer Science 2025-04-15 Daria Trinitatova , Sofia Shevelo , Dzmitry Tsetserukou

This paper presents a formation control approach for contactless gesture-based Human-Swarm Interaction (HSI) between a team of multi-rotor Unmanned Aerial Vehicles (UAVs) and a human worker. The approach is designed to monitor the safety of…

Reinforcement learning (RL) methods have been actively applied in the field of robotics, allowing the system itself to find a solution for a task otherwise requiring a complex decision-making algorithm. In this paper, we present a novel…

Human-Computer Interaction · Computer Science 2021-08-04 Ekaterina Karmanova , Valerii Serpiva , Stepan Perminov , Aleksey Fedoseev , Dzmitry Tsetserukou

The control of collective robotic systems, such as drone swarms, is often delegated to autonomous navigation algorithms due to their high dimensionality. However, like other robotic entities, drone swarms can still benefit from being…

Robotics · Computer Science 2021-03-16 Matteo Macchini , Ludovic De Matteïs , Fabrizio Schiano , Dario Floreano

This paper aims to design quadrotor swarm performances, where the swarm acts as an integrated, coordinated unit embodying moving and deforming objects. We divide the task of creating a choreography into three basic steps: designing swarm…

Robotics · Computer Science 2019-05-03 Xintong Du , Carlos E. Luis , Marijan Vukosavljev , Angela P. Schoellig

Most human-robot interfaces, such as joysticks and keyboards, require training and constant cognitive effort and provide a limited degree of awareness of the robots state and its environment. Embodied interactions, instead of interfaces,…

Robotics · Computer Science 2017-07-07 Alexandre Cherpillod , Stefano Mintchev , Dario Floreano

The collaborative robot market is flourishing as there is a trend towards simplification, modularity, and increased flexibility on the production line. But when humans and robots are collaborating in a shared environment, the safety of…

The continuous monitoring by drone swarms remains a challenging problem due to the lack of power supply and the inability of drones to land on uneven surfaces. Heterogeneous swarms, including ground and aerial vehicles, can support longer…

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