Omar Walid

Designed and implemented an AI-driven virtual assistant for banks using LLMs, STT/TTS, Cartographer navigation, MPC planning, Open3D-based 3D perception, IMU-odometry fusion, and WebSocket APIs to create a multilingual, interactive bank assistant.

Built from scratch with autonomous mapping, localization, and perception to achieve 99.9% sanitation accuracy in COVID-19-infected environments.

Increased logistics efficiency by 35% through automated navigation and holonomic motion control.

Duet is a friendly interactive expressive mobile robot designed to work as a standalone promoter who can welcome guests, guide them, conduct conversations, check in/out, print & scan documents, and provides information in an attractive way using changeable facial expressions.

• Developed the autonomous navigation, perception, and control software for a dry fog disinfection robot capable of atomizing various disinfectants into a super dry mist for high-speed airflow sanitization.
• Integrated mapping, localization, and obstacle avoidance algorithms to enable the robot to autonomously reach target areas and achieve full 360° disinfection coverage.
• Designed the control logic for dry fog spraying nozzles to ensure precise and efficient air purification.
• Implemented ROS-based task planning to coordinate navigation and spraying cycles, optimizing both coverage and operating time.

• Developed the complete robotics software stack for Rolly, an Autonomous Mobile Robot designed for secure, non-contact deliveries in multi-environment setups.
• Implemented fleet management capabilities, enabling multiple robots to operate seamlessly without collisions or interference.
• Integrated navigation for complex indoor routes, including BMS integration to automatically close and open doors.
• Designed human-robot interaction systems with custom touchscreen interface and application layer tailored to each client's needs.
• Implemented ROS-based autonomous navigation, obstacle avoidance, and task orchestration to ensure reliability, safety, and scalability.

Developed as part of MARSES' POC robotics solutions for restaurants, with smart waiter capabilities, payment gateway redirecting, customer satisfaction feedback survey, menu ordering and delivery

Developing a centralized platform for monitoring, controlling, and optimizing multi-robot operations in warehouses and public spaces.

• In this interview, I talked about how quickly humanoid robotics is evolving, especially in terms of sensory capabilities.
• I explained that robots don’t actually see like humans — they rely on sensors, algorithms, and reinforcement learning to interpret their environment and mimic natural movement.
• We also discussed the recent robot showcases in China.
• While they look impressive, I clarified that most of those performances are pre-programmed rather than truly autonomous.
• I ended by sharing my perspective on the future of robotics in healthcare and daily life, emphasizing that although AI can simulate emotions, it still lacks real human consciousness and judgment.

• Integrated into the Duet service robot, this AI-driven interactive agent engages with children to assess their hobbies and talents through conversational interaction and guided activities.
• Features include talent demonstration recording, interactive storytelling, digital painting interface, and automated report generation for parents.
• Designed to create an engaging, educational experience while providing actionable insights for talent development.

• Engineered control, perception, and targeting systems for two omni-wheel drive robots showcased in an interactive VR shooting game at Gitex 2023.
• One robot operated autonomously, using fused odometry from wheel encoders, IMU, and camera-based ArUco marker pose estimation for navigation and aiming.
• It autonomously detected and engaged targets by calibrating pitch and yaw mechanisms and dynamically controlling the motorized shooting angle.
• The second robot was manually operated by a human opponent via VR headset and joystick, receiving real-time video feed through WebRTC streaming.
• The combination of precise omni-wheel kinematics, multi-sensor fusion, and integrated targeting systems created an immersive competitive experience between human and autonomous players.

• Developed a real-time interactive installation where a UR10 Universal Robot engages in a hockey-style game by detecting and reacting to a moving puck.
• Implemented trajectory estimation using ArUco markers, camera calibration, and high-speed vision processing to calculate puck speed, position, and future path.
• Designed decision-making logic to classify actions as defensive or offensive, and generated precise 2D plane position commands for the UR10 to execute responsive movements.
• The system was optimized for accuracy, speed, and audience engagement in a live event environment.

• Developed and integrated a control system for a Yumi ABB collaborative robot to synchronize its movements with live music beats in real time.
• The robot was programmed to operate a DJ mixer, perform smooth transitions, creating an engaging and visually synchronized experience for event audiences.