Research Teams
Our project is organized into specialized research teams, each focusing on critical aspects of intelligent robotics and AI integration.
AI-Driven Tactile and Proximity Sensing with Adaptive Components for Embodied Intelligence Across Diverse Morphologies. Our flagship research initiative aimed at realizing embodied intelligence that adapts to diverse robotic forms through AI-driven tactile and proximity sensing combined with adaptive components.
MASAIC (Modular Soft Adaptive Intelligent Component) is the core building block of the CROSS-X project, providing modular, soft, and intelligent components that enable robots to physically adapt and respond to their environment with enhanced sensory awareness and intelligent decision-making capabilities.
By integrating soft robotics, modular design principles, and AI-driven adaptation, MASAIC creates flexible robotic solutions that can intelligently respond to dynamic environments. Our interdisciplinary approach combines mechanical engineering, materials science, artificial intelligence, and control theory.
Advanced autonomous systems with enhanced reasoning and adaptive capabilities
Leveraging large language models for natural communication and decision-making
Collaborative AI agents working together to achieve complex goals
Systems that continuously learn and improve from experience over time
Our project is organized into specialized research teams, each focusing on critical aspects of intelligent robotics and AI integration.
