3 citations · 3 across the 12 of their papers we have counts for
10 papers · 1 filter
SafeHumanoid: VLM-RAG-driven Control of Upper Body Impedance for Humanoid Robot
Yara Mahmoud, Jeffrin Sam, Nguyen Khang +6
Safe and trustworthy Human Robot Interaction (HRI) requires robots not only to complete tasks but also to regulate impedance and speed according to scene context and human proximit…
VLH: Vision-Language-Haptics Foundation Model
Luis Francisco Moreno Fuentes, Muhammad Haris Khan, Miguel Altamirano Cabrera +5
We present VLH, a novel Visual-Language-Haptic Foundation Model that unifies perception, language, and tactile feedback in aerial robotics and virtual reality. Unlike prior work th…
FlyHaptics: Flying Multi-contact Haptic Interface
Luis Moreno, Miguel Altamirano Cabrera, Muhammad Haris Khan +4
This work presents FlyHaptics, an aerial haptic interface tracked via a Vicon optical motion capture system and built around six five-bar linkage assemblies enclosed in a lightweig…
HapticVLM: VLM-Driven Texture Recognition Aimed at Intelligent Haptic Interaction
Muhammad Haris Khan, Miguel Altamirano Cabrera, Dmitrii Iarchuk +4
This paper introduces HapticVLM, a novel multimodal system that integrates vision-language reasoning with deep convolutional networks to enable real-time haptic feedback. HapticVLM…
RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour
Valerii Serpiva, Artem Lykov, Artyom Myshlyaev +4
RaceVLA presents an innovative approach for autonomous racing drone navigation by leveraging Visual-Language-Action (VLA) to emulate human-like behavior. This research explores the…
CognitiveDrone: A VLA Model and Evaluation Benchmark for Real-Time Cognitive Task Solving and Reasoning in UAVs
Artem Lykov, Valerii Serpiva, Muhammad Haris Khan +5
This paper introduces CognitiveDrone, a novel Vision-Language-Action (VLA) model tailored for complex Unmanned Aerial Vehicles (UAVs) tasks that demand advanced cognitive abilities…
LLM-Glasses: GenAI-driven Glasses with Haptic Feedback for Navigation of Visually Impaired People
Issatay Tokmurziyev, Miguel Altamirano Cabrera, Muhammad Haris Khan +2
LLM-Glasses is a wearable navigation system which assists visually impaired people by utilizing YOLO-World object detection, GPT-4o-based reasoning, and haptic feedback for real-ti…
ImpedanceGPT: VLM-driven Impedance Control of Swarm of Mini-drones for Intelligent Navigation in Dynamic Environment
Faryal Batool, Yasheerah Yaqoot, Malaika Zafar +4
Swarm robotics plays a crucial role in enabling autonomous operations in dynamic and unpredictable environments. However, a major challenge remains ensuring safe and efficient navi…
Evolution 6.0: Robot Evolution through Generative Design
Muhammad Haris Khan, Artyom Myshlyaev, Artem Lykov +2
We propose a new concept, Evolution 6.0, which represents the evolution of robotics driven by Generative AI. When a robot lacks the necessary tools to accomplish a task requested b…
GazeGrasp: DNN-Driven Robotic Grasping with Wearable Eye-Gaze Interface
Issatay Tokmurziyev, Miguel Altamirano Cabrera, Luis Moreno +2
We present GazeGrasp, a gaze-based manipulation system enabling individuals with motor impairments to control collaborative robots using eye-gaze. The system employs an ESP32 CAM f…