activity
20192026
most citedTouchVR: a Wearable Haptic Interface for VR Aimed at Delivering Multi-modal Stimuli at the User's Palm

23 citations · 96 across the 57 of their papers we have counts for

collaborators
Showing 2022 · cs.ROShow all

11 papers · 2 filters

cs.RO2022★ 1 cited

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

Ekaterina Dorzhieva, Ahmed Baza, Ayush Gupta +4

We propose a novel concept of augmented reality (AR) human-drone interaction driven by RL-based swarm behavior to achieve intuitive and immersive control of a swarm formation of un…

cs.RO2022★ 1 cited

SwarMan: Anthropomorphic Swarm of Drones Avatar with Body Tracking and Deep Learning-Based Gesture Recognition

Ahmed Baza, Ayush Gupta, Ekaterina Dorzhieva +2

Anthropomorphic robot avatars present a conceptually novel approach to remote affective communication, allowing people across the world a wider specter of emotional and social exch…

cs.RO2022★ 1 cited

DandelionTouch: High Fidelity Haptic Rendering of Soft Objects in VR by a Swarm of Drones

Aleksey Fedoseev, Ahmed Baza, Ayush Gupta +3

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 delive…

cs.RO2022

HyperGuider: Virtual Reality Framework for Interactive Path Planning of Quadruped Robot in Cluttered and Multi-Terrain Environments

Ildar Babataev, Aleksey Fedoseev, Nipun Weerakkodi +2

Quadruped platforms have become an active topic of research due to their high mobility and traversability in rough terrain. However, it is highly challenging to determine whether t…

cs.RO2022

HyperPalm: DNN-based hand gesture recognition interface for intelligent communication with quadruped robot in 3D space

Elena Nazarova, Ildar Babataev, Nipun Weerakkodi +2

Nowadays, autonomous mobile robots support people in many areas where human presence either redundant or too dangerous. They have successfully proven themselves in expeditions, gas…

cs.RO2022

HyperDog: An Open-Source Quadruped Robot Platform Based on ROS2 and micro-ROS

Nipun Dhananjaya Weerakkodi Mudalige, Iana Zhura, Ildar Babataev +3

Nowadays, design and development of legged quadruped robots is a quite active area of scientific research. In fact, the legged robots have become popular due to their capabilities…

cs.RO2022

Exploring the Role of Electro-Tactile and Kinesthetic Feedback in Telemanipulation Task

Daria Trinitatova, Miguel Altamirano Cabrera, Polina Ponomareva +2

Teleoperation of robotic systems for precise and delicate object grasping requires high-fidelity haptic feedback to obtain comprehensive real-time information about the grasp. In s…

cs.RO2022

SwarmHawk: Self-Sustaining Multi-Agent System for Landing on a Moving Platform through an Agent Supervision

Ayush Gupta, Ekaterina Dorzhieva, Ahmed Baza +3

Heterogeneous teams of mobile robots and UAVs are offering a substantial benefit in an autonomous exploration of the environment. Nevertheless, although joint exploration scenarios…

cs.RO2022★ 1 cited

SwarmHive: Heterogeneous Swarm of Drones for Robust Autonomous Landing on Moving Robot

Ayush Gupta, Ahmed Baza, Ekaterina Dorzhieva +5

The paper focuses on a heterogeneous swarm of drones to achieve a dynamic landing of formation on a moving robot. This challenging task was not yet achieved by scientists. The key…

cs.RO2022★ 2 cited

DogTouch: CNN-based Recognition of Surface Textures by Quadruped Robot with High Density Tactile Sensors

Nipun Dhananjaya Weerakkodi Mudalige, Elena Nazarova, Ildar Babataev +4

The ability to perform locomotion in various terrains is critical for legged robots. However, the robot has to have a better understanding of the surface it is walking on to perfor…

cs.RO2022

DeepXPalm: Tilt and Position Rendering using Palm-worn Haptic Display and CNN-based Tactile Pattern Recognition

Altamirano Cabrera Miguel, Sautenkov Oleg, Tirado Jonathan +4

Telemanipulation of deformable objects requires high precision and dexterity from the users, which can be increased by kinesthetic and tactile feedback. However, the object shape c…