AIBOMECH

Basheer Al-Tawil

PhD researcher in Robotics and AI at Otto von Guericke University

Robots that map, understand and move among people.

I build the perception and navigation software that lets a mobile robot keep an accurate map while people walk through it, recognise what they are doing, and plan a path that respects their space.

See the research Download CV
Click the map to send the robot somewhere. robot person social cost planned path

From sensor data to polite motion

My work follows the data through a mobile robot, in five steps.

  1. 1SenseMulti-sensor fusion for 2D mapping
  2. 2MapVisual SLAM in dynamic scenes
  3. 3UnderstandHuman action, trajectory and engagement
  4. 4NavigateSocially-aware navigation
  5. 5ReasonLLMs for robot task control

Results so far

How these were achieved
  • Error

    Lower trajectory error than ORB-SLAM3 in scenes with moving people, from 0.404 m to 0.015 m on TUM RGB-D.

    SAR-SLAM, Robotics 2026
  • Accuracy

    Higher Action Recognition accuracy on UCF-101 with a ResNet-18, Bi-LSTM and attention model that runs on a mobile robot.

    Sensors 2025
  • Goals

    High percentage of navigation goals reached after fusing four RGB-D cameras with two LiDARs for 2D mapping.

    Sensors 2025
  • Citations

    More than 140 citations for my review of visual SLAM methods for robotics, my most-cited paper.

    Frontiers in Robotics and AI 2024

Selected publications

All 13 publications

Open-source projects

All 8 projects
Since 2019

RoboCraft: a reconfigurable three-arm SCARA cell

Three SCARA robots that work alone or lock onto a hexagonal platform and become one parallel robot.

  • ROS 2 Humble
  • Gazebo Fortress
  • ros2_control
  • C++17
Since 2020

AgroBot: a robot arm for greenhouse work

A 4-axis arm on a rail trolley that harvests strawberries, transplants seedlings, inspects plants and pulls weeds.

  • ROS 2 Humble
  • Gazebo Fortress
  • ros2_control
  • C++17
Camera view from a mobile robot showing a tracked person with a skeleton overlay, the observed walking path in blue and the predicted path in green
2026

TrajMamba: predicting where people will walk

A 262 K-parameter Mamba model that predicts the next three seconds of a person’s path from an RGB-D camera, in real time on a Jetson Orin.

  • ROS 2 Humble and Jazzy
  • PyTorch
  • Mamba
  • MediaPipe Pose

Tutorials and notes

All 18 posts

  • Host a website for free with GitHub and Cloudflare, step by step

    How to take a website from a folder of files to a live address with your own domain, HTTPS, free email forwarding and visitor statistics. Design, repository, Cloudflare deployment, domain, launch checklist and measuring, with the mistakes to avoid.

    Tutorials15 min read

  • Sending a designed HTML email from Gmail, explained simply

    Why a beautiful email can arrive empty, what Gmail keeps and removes, two reliable ways to paste a designed email into Gmail, the three traps to avoid, and a short Python checker for your HTML.

    Tutorials9 min read

  • Dynamic Covariance Scaling, explained simply

    How a SLAM system survives one wrong 'I've been here before': pose graphs, loop closures, why a single false loop closure can wreck a map, and how Dynamic Covariance Scaling (DCS) turns its volume down. A robot with a RealSense camera drives down a corridor to a lab and back, with every number from a runnable simulation.

    SLAM15 min read

Work with me

I am open to research collaborations, industry R&D roles, postdoc positions and invited talks on mobile robotics, SLAM, perception and human-robot interaction.

contact@aibomech.com Send a message

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