MR.Md Munim RayhanROBOTICS & CONTROLS
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PROJECT / 01 · Perception · Planning · Physical execution

From a text prompt to a physical grasp

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

Florida International University · Applied Research CenterPhysical system demonstrated
  • ROS 2
  • C++
  • MoveIt 2
  • GroundingDINO
  • GraspSAM
  • RealSense
Recorded laboratory demonstration: the UR16e approaches, grasps, and lifts a work glove. FIU Applied Research Center.

01 / THE CHALLENGE

Connecting the whole system

A grasp prediction is only one part of a working manipulation system. The selected object, depth measurements, robot coordinate frames, motion plan, gripper, and operator controls all have to agree before the robot moves.

02 / MY CONTRIBUTION

What I worked on

  • Integrated GroundingDINO object identification and GraspSAM grasp generation with the robot's RGB-D and MoveIt 2 workflow.
  • Developed C++ ROS 2 nodes and services for approach, grasp, retreat, homing, and gripper control.
  • Built an operator dashboard with RViz, live grasp previews, depth and confidence information, execution status, and logs.
  • Connected staged execution and home overrides to support supervised physical demonstrations.

RECORDED DEMONSTRATIONS

Inside the system

Recorded operator interface

Grasp preview, RViz planning scene, stage controls, and execution logs in the recorded FIU ARC WasteAI operator interface.

03 / SYSTEM WORKFLOW

How the pieces connect

  1. 01

    Select

    Text prompt and GroundingDINO localization

  2. 02

    Perceive

    GraspSAM candidates and RGB-D measurements

  3. 03

    Plan

    Robot-frame targets and MoveIt 2 motion planning

  4. 04

    Execute

    Operator review, staged motion, and gripper control

04 / ENGINEERING DECISIONS

Decisions behind the implementation

Make the robot's next action visible

A live grasp preview, planning scene, and stage controls let the operator inspect a target and follow execution. The interface exposes useful system state alongside the motion controls.

Treat coordinate frames as part of the system

Camera measurements must be connected to robot frames before they become motion targets. That connection is part of the perception-to-planning integration.

Separate the execution stages

Approach, grasp, retreat, and home are explicit operations. This makes physical testing and recovery easier to observe and debug.

05 / OUTCOME

What the work demonstrates

Delivered an integrated physical robot workflow and operator interface for the DOE system integration and baseline demonstration milestone. The demonstrated workflow uses operator supervision and staged execution.

Work developed at FIU's Applied Research Center with the project team. This page describes my software, perception, planning, and operator-interface contributions.

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