9 papers · 1 filter
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…
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…
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…
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…
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…