23 citations · 96 across the 57 of their papers we have counts for
7 papers · 1 filter
GraspLook: a VR-based Telemanipulation System with R-CNN-driven Augmentation of Virtual Environment
Polina Ponomareva, Daria Trinitatova, Aleksey Fedoseev +2
The teleoperation of robotic systems in medical applications requires stable and convenient visual feedback for the operator. The most accessible approach to delivering visual info…
DroneStick: Flying Joystick as a Novel Type of Interface
Evgeny Tsykunov, Aleksey Fedoseev, Ekaterina Dorzhieva +5
DroneStick is a novel hands-free method for smooth interaction between a human and a robotic system via one of its agents, without training and any additional handheld or wearable…
SwarmPlay: Interactive Tic-tac-toe Board Game with Swarm of Nano-UAVs driven by Reinforcement Learning
Ekaterina Karmanova, Valerii Serpiva, Stepan Perminov +2
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 deci…
SwarmPlay: A Swarm of Nano-Quadcopters Playing Tic-tac-toe Board Game against a Human
Ekaterina Karmanova, Valerii Serpiva, Stepan Perminov +3
We present a new paradigm of games, i.e. SwarmPlay, where each playing component is presented by an individual drone that has its own mobility and swarm intelligence to win against…
DronePaint: Swarm Light Painting with DNN-based Gesture Recognition
Valerii Serpiva, Ekaterina Karmanova, Aleksey Fedoseev +2
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 i…
SwarmPaint: Human-Swarm Interaction for Trajectory Generation and Formation Control by DNN-based Gesture Interface
Valerii Serpiva, Ekaterina Karmanova, Aleksey Fedoseev +2
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 intui…
DroneTrap: Drone Catching in Midair by Soft Robotic Hand with Color-Based Force Detection and Hand Gesture Recognition
Aleksey Fedoseev, Valerii Serpiva, Ekaterina Karmanova +5
The paper proposes a novel concept of docking drones to make this process as safe and fast as possible. The idea behind the project is that a robot with a soft gripper grasps the d…