Arman Ahmed Khan
Associate Researcher — Robotics, Artificial Intelligence, and Human–Robot Interaction
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Profile
Researcher working where human–robot interaction meets deployed systems. I build the interaction layer for mobile robots — speech, gesture, pointing, and person-following — and the navigation, control, and perception underneath it. Two peer-reviewed publications; every system below was evaluated on real hardware or real data.
Publications
GESTRO: Skeleton-Based Dynamic Gesture Recognition for Robot Teleoperation
A skeleton-based dynamic gesture recognition system for mobile robot teleoperation, built around an 11-gesture, 3,300-sample dataset and an attention-enhanced LSTM evaluated on a mobile robotics platform.
Human-Robot Interaction in Indoor Mobile Robotics: Current State, Interaction Modalities, Applications, and Future Challenges
A comprehensive survey of interaction modalities, applications, user-experience factors, implementation challenges, and future directions for indoor mobile robots in human-centered environments.
Experience
Human–Robot Interaction for Laboratory AutomationAUG 2025 — NOW
Building the interaction layer for MOLAR, the Mobile Laboratory Robot — an ASTI ProBot L platform serving laboratory stations across a multi-storey building — as part of the ADAM (Autonomous Development of Advanced Materials) project. Verbal and non-verbal interaction in one interface.
Autonomous Cargo Cycle Remote ControlJUN — JUL 2025
Developed a remote control system with an explicit state machine for a human-following autonomous cargo cycle, implemented in ROS 2 and C++.
Autonomous Mobile Robot for Organic FarmingJUN 2024 — MAY 2025
Local planner, control design, kinematics, and EKF-based sensor fusion for an agricultural robot automating soil-sample collection, validated in Gazebo and in field trials.
Automotive Vision & Sensor AcquisitionNOV 2023 — APR 2024
Led PSF estimation and deblurring for automotive camera health monitoring, and designed the hardware triggering and time-synchronisation system for the LiDAR, camera, GPS, and radar sensor vehicle.
Dynamic Hand Gesture Recognition for HRIMAR — OCT 2023
Designed and implemented the gesture recognition and face verification system for the TIAGo robot, tested in Gazebo and RViz and then on the physical platform.
Gesture Recognition Application DevelopmentSEP 2022 — SEP 2023
Built the real-time gesture recognition application and GUI that the ROS-based TIAGo robot acts on, including dataset creation and feature engineering.
Path Planning & Nonlinear MPCSEP 2021 — JAN 2022
ACADO-based path planning and obstacle avoidance in MATLAB, with a nonlinear model-predictive controller running on the Hamster UGV under OptiTrack motion capture.
Metro Data Centre InterconnectivityFEB — MAY 2018
Field work on a metropolitan data-centre interconnect deployment, covering DWDM, FTTH, GPON, OTN, and SDH transport technologies.
Optical Transport NetworksJUN — JUL 2017
Hands-on configuration, testing, and optimisation of DWDM-based optical transport equipment.
Selected projects
MOLAR: Multimodal HRI for a Mobile Laboratory Robot2025 — present
MOLAR — the Mobile Laboratory Robot — is an ASTI ProBot L platform that moves samples between stations across a multi-storey laboratory building. I build its interaction layer: verbal and non-verbal channels combined into one interface, so an operator can speak to the robot, gesture at it, or simply be followed by it.
GESTRO: Skeleton-Based Gesture Teleoperation2022 — 2026
A dynamic hand-gesture recognition system for teleoperating a ROS-based TIAGo robot, with a Siamese face-recognition module that only accepts commands from a verified operator. Started as my master's thesis and grew into a peer-reviewed system with an 11-gesture, 3,300-sample public dataset.
Autonomous Robot for Organic Farming2024 — 2025
An agricultural mobile robot that automates soil-sample collection to build detailed fertiliser profiles for a field. I worked across the kinematic model, the local planner, the control design, and the state-estimation stack, then took it into field testing.
Automotive Camera Health Monitoring2023 — 2024
A computer-vision pipeline that estimates the point-spread function directly from in-field automotive camera images, uses it to restore sharpness, and tracks how the PSF drifts over time as an early warning that a camera is ageing.
Nonlinear MPC Path Following on the Hamster UGV2021 — 2022
Path planning and optimisation with the ACADO toolkit in MATLAB, and a nonlinear model-predictive controller that follows the resulting trajectory on a real Hamster ground vehicle tracked by an OptiTrack motion-capture system.
Education
M.Sc. Electrical Engineering and Information Technology
Thesis: Deep Learning-Based Approach for Gesture-Based Human-Robot Interaction
B.Tech. Electronics and Communication Engineering
Final-year project: technical report on optical transport networks and SDN
Academic Foundation
Selected coursework from the official M.Sc. transcript, plus a minor in finance and international management
Technical skills
- Robotics
- ROS / ROS 2 · Nav2 · MoveIt · Gazebo · RViz · TIAGo · OptiTrack
- AI & Vision
- PyTorch · TensorFlow / Keras · OpenCV · MediaPipe · LSTM + attention · GANs
- Control & Estimation
- NMPC · ACADO · Kalman / EKF · MATLAB / Simulink · Visual SLAM
- Engineering
- Python · C++ · Docker · Git · Linux · Blender · CARLA
- Sensors & Hardware
- LiDAR · GPS / IMU · Radar · Arduino · Raspberry Pi · FPGA / PLC
- Interfaces
- CAN · Ethernet · Serial · Bluetooth · TCP/IP · Wi-Fi
Recognition
- 2023 Excellence scholarship during the master's thesis — Otto von Guericke University Magdeburg
- 2019 Gopi Ram Goenka Award at convocation — G D Goenka University
- 2014–18 Dean's list and merit scholarship, four consecutive years — G D Goenka University
- 2019 Qualified GATE and JEE Main — National engineering entrance examinations, India
Certifications
- 2025 Developing Secure Software — LinkedIn Learning
- 2023 ROS for Beginners: Basics, Motion, and OpenCV — Udemy
- 2022 ROS 2 for Beginners — Udemy
- 2022 ROS for Beginners — Udemy
- 2022 Introduction to Self-Driving Cars — University of Toronto / Coursera
- 2022 Machine Learning — Sololearn
- 2022 Data Science — Sololearn
- 2022 Python Core — Sololearn
- 2022 C++ — Sololearn
- 2022 C Programming Language — Sololearn
- 2020 Control Design Onramp with Simulink — MathWorks
- 2020 MATLAB Onramp — MathWorks
Languages: English (fluent) · German (intermediate) · Hindi (mother tongue) · Urdu (fluent). Contact details are available on request or through the profiles linked above.