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 2025Show all

11 papers · 1 filter

cs.RO2025

EmbodiedDiffusion: End-to-End Traversability-Guided Visual Diffusion for Heterogeneous Robot Navigation

Iana Zhura, Sausar Karaf, Faryal Batool +7

Visual traversability estimation is central to autonomous navigation, yet most approaches either rely on prompt-driven Vision-Language Model (VLM) or decouple traversability from t…

cs.RO2025

Prometheus: Universal, Open-Source Mocap-Based Teleoperation System with Force Feedback for Dataset Collection in Robot Learning

S. Satsevich, A. Bazhenov, S. Egorov +4

This paper presents a novel teleoperation system with force feedback, utilizing consumer-grade HTC Vive Trackers 2.0. The system integrates a custom-built controller, a UR3 robotic…

cs.RO2025

SwarmVLM: VLM-Guided Impedance Control for Autonomous Navigation of Heterogeneous Robots in Dynamic Warehousing

Malaika Zafar, Roohan Ahmed Khan, Faryal Batool +5

With the growing demand for efficient logistics, unmanned aerial vehicles (UAVs) are increasingly being paired with automated guided vehicles (AGVs). While UAVs offer the ability t…

cs.RO2025

NMPC-Lander: Nonlinear MPC with Barrier Function for UAV Landing on a Mobile Platform

Amber Batool, Faryal Batool, Roohan Ahmed Khan +3

Quadcopters are versatile aerial robots gaining popularity in numerous critical applications. However, their operational effectiveness is constrained by limited battery life and re…

cs.MA2025

HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning

Lavanya Ratnabala, Robinroy Peter, Aleksey Fedoseev +1

This paper tackles decentralized continuous task allocation in heterogeneous multi-agent systems. We present a novel framework HIPPO-MAT that integrates graph neural networks (GNN)…

eess.SY2025

AttentionSwarm: Reinforcement Learning with Attention Control Barier Function for Crazyflie Drones in Dynamic Environments

Grik Tadevosyan, Valerii Serpiva, Aleksey Fedoseev +6

We introduce AttentionSwarm, a novel benchmark designed to evaluate safe and efficient swarm control in a dynamic drone racing scenario. Central to our approach is the Attention Mo…