Human-Robot Interaction Engineer – Conversational & Assistive AI

This Human-Robot Interaction (HRI) Engineer specializes in Conversational AI and Assistive Robotics, designing intelligent systems that enable robots to interact naturally with humans. They develop speech recognition, natural language processing (NLP), and emotion-aware AI models to create seamless communication between humans and machines. With expertise in gesture recognition, cognitive AI, and adaptive learning, they enhance robotic assistants for healthcare, customer service, and smart home applications.

• AI-Powered Conversational Robot for Healthcare Assistance
  
  Developed a voice-enabled AI assistant for hospitals and elderly care, integrating speech recognition, sentiment analysis, and adaptive learning to provide personalized patient interaction. Improved patient engagement by 50% and reduced staff workload.
  
  Emotion-Aware AI for Customer Service Robots
  
  Designed an emotion recognition system using deep learning to enhance robotic customer service agents. This AI model enabled robots to detect emotions and adjust responses, improving customer satisfaction by 40% in retail environments.
  
  Gesture Recognition for Interactive Robotics
  
  Implemented a gesture-based AI model for human-robot collaboration in industrial settings. The system reduced manual input by 30%, allowing for more intuitive and efficient human-machine interaction.
  
  AI-Driven Multimodal Interaction System
  
  Developed an AI model combining speech, facial recognition, and text-based interactions to improve real-time decision-making in service robots. Enhanced interaction accuracy by 45%, creating a more natural robotic communication experience.
  
  Autonomous Conversational AI for Smart Homes
  
  Created an AI-powered home assistant that seamlessly integrates voice, vision, and predictive learning to improve home automation experiences. Increased voice command accuracy by 60%, making smart home control more intuitive.