ROBOTICS SOFTWARE & SYSTEMS ENGINEER · MIAMI, FL

From perception
to physical
execution.

I build the software that connects sensing, planning, and control to real robot systems.

I'm Munim, a postdoctoral researcher at Florida International University's Applied Research Center. My work spans robotic manipulation, compact inspection robots, and manufacturing control.

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FEATURED SYSTEM / 01UR16e

Recorded laboratory demonstration: the UR16e approaches, grasps, and lifts a work glove. FIU Applied Research Center.

Language-guided perception. Supervised physical manipulation.

GroundingDINO · GraspSAM · MoveIt 2 · ROS 2

BUILD

Perception to motion

MEASURE

Hardware response

DELIVER

Working interfaces

EXPLAIN

Reproducible workflows

SELECTED WORK

Systems I've helped
bring together.

Four projects across robotics, experimental control, and practical engineering.

/01Perception · Planning · Physical execution

Recorded perception interface with text-selected object detection and a grasp preview.

Perception-guided manipulation

An integrated UR16e workflow connecting language-guided object selection, RGB-D perception, grasp generation, motion planning, and an operator interface.

ROS 2
C++
MoveIt 2
GroundingDINO
GraspSAM
RealSense

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/02Controls · Sensing · Experimental robotics

Laboratory inspection platform, with original annotations of the base, arm joints J1–J4, tool joint, actuators, and control box.

Compact inspection manipulator

A riser-deployed cable-driven articulated manipulator for confined inspection, with external joint sensing, simulation and motion planning, and experiments on arm-joint control.

Python
C++
Joint encoders
PI control
ROS 2
Isaac Sim

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/03System integration · Teaching · Developer experience

How the pieces connect

DevelopA reproducible Docker environment

ConnectWi-Fi communication using Zenoh

CommandROS 2 control messages and UART motor commands

ObserveReturned telemetry and physical robot behavior

Classroom robotics platform

A Raspberry Pi robot, reproducible development containers, motor communication, and wireless teleoperation for hands-on robotics instruction.

ROS 2
Docker
Raspberry Pi
Python
UART
Zenoh

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/04Feedback control · Modeling · Manufacturing

A physical welding experiment viewed through Intel RealSense L515 RGB, infrared, and depth streams.

Manufacturing feedback control

Experimental thermal feedback for wire-arc deposition and physics-guided parameter estimation for cold-spray simulation.

Feedback control
Data acquisition
Thermal sensing
Parameter estimation
Python

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ABOUT

At the intersection
of software
and hardware.

I work on the integration details that make a robot useful: sensor data, coordinate frames, motion commands, experimental measurements, and the interface people use to operate it.

At FIU ARC, I develop robotics software and controls for hazardous-environment applications and collaborate with laboratory and project teams on physical demonstrations and experimental validation.

Before my postdoctoral work, I completed a PhD in Mechanical Engineering at FIU, studying feedback control and sensor integration in additive manufacturing. I also teach robotic systems through hands-on work with ROS 2, Python, and a Raspberry Pi robot.

Current: Visiting Postdoctoral Associate
FIU Applied Research Center
Education: PhD, Mechanical Engineering
Florida International University, 2025

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