VLA- Manipulator project

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Python, and similar tools. I have worked with pytorch, and tensorflow to develop DL models, .I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@jinufeb14

### Your vision, my action Let me proudly tell you that I am in the top 1% of freelancers! As an AI Engineer with a deep understanding of **Robot Operating System (ROS-2)** and proficient in Python, PyTorch, Git, **MoveIt 2**, I am confident that I possess all the required skills for your VLA-Manipulator project. Not only do I meet your desired skill set but I can also bring some extra value to the table: expertise with **UR5/Universal Robots** and robotics simulation, which makes me well-lauded for translating recent robotics research papers into functional systems. Difficulties are non-existent when it comes to assembling different parts fittingly. Combining existing Vision-Language-Action models with ROS 2 is exactly the kind of substantial and integrative work that excites me. My knack for providing reproducible results will simplify documentation. Having an ability to comprehend complex tasks rapidly and work diligently to deliver within deadline are some signatures of mine that will ensure we have a focused stint with strong and clearly defined milestones. I’m confident that with my expertise in ML and prior experience in Cloud technology, you’ll have an efficient assistant empowering your vision with action. Let's turn your research into reality!

@mahads31

As a seasoned Linux and Python expert, my knowledge base aligns perfectly with the requirements of your VLA- Manipulator project. My years of hands-on experience in Robotics and AI engineering demonstrated through successful projects involving MoveIt 2, ROS2, and VLA/VLM models make me an ideal candidate for this opportunity. One of my forte is implementing recent robotics research, and I suspect this would be a key factor in realizing the goals of your project. In addition, my proficiency in using UR5/Universal Robots; not to mention my work on robotics simulation further strengthens my suitability for this job. I approach each project with a deep sense of commitment to clarity, strategy, and execution which I believe has contributed to my numerous successful project deliveries - something I hope to achieve with you as well. My technical skill set combined with my dedication will undeniably produce the desired result: integrating VLA approach with a ROS 2 manipulation pipeline, conducting simulation and real-robot experiments, and thoroughly documenting reproducible results. Let's create something impactful together.

@Qupati

Hi! This project is a particularly strong match for my background. I’m a Mechatronics/Robotics Engineer with 5+ years of experience in ROS1/ROS2, robotic manipulation, computer vision, deep learning, and simulation-to-real robot integration. My current research work focuses on deep-learning-based 6D pose estimation and robotic manipulation, where I integrate YOLO segmentation + pose estimation + RGB-D perception with ROS2 and MoveIt2 to detect an object's 6D pose and execute accurate grasping/manipulation on a real robotic arm. My relevant experience includes: ROS2 Humble, MoveIt2 and ros2_control Robotic arms including UR5/UR3 and JAKA Python, C++, PyTorch and TensorFlow VLM/VLA models and OpenVLA RGB-D cameras and 6D object pose estimation Gazebo, Isaac Sim and real-robot experiments Docker, Git/GitHub and reproducible Linux environments Implementing and adapting robotics research methods into working pipelines For your project, I can integrate the existing VLA approach with the ROS2 manipulation stack, connect model outputs to robot actions, build the simulation experiments, transfer the pipeline to the real robot, and document the complete setup for reproducibility. I’d be very interested in discussing the VLA approach, UR5 setup, and experimental milestones. Best regards, Hussein

@alluankit01

Hi, I can support your short-term VLA robotic manipulation research project involving ROS 2, MoveIt 2, Python/PyTorch, simulation, and reproducible experiment documentation. My approach will be to first review the existing VLA/VLM method, ROS 2 manipulation pipeline, robot/simulation setup, and target tasks. Then I’ll help integrate the model with perception, planning, and action execution workflows, test in simulation, and support real-robot validation where available. I’m comfortable with: * Ubuntu/Linux * ROS 2 * Python and PyTorch * MoveIt 2 * Robotic manipulation * VLA/VLM model integration * UR5/Universal Robots workflows * Simulation testing * Git-based development * Research paper implementation Deliverables: * VLA-to-ROS 2 integration support * Manipulation pipeline setup * Simulation experiment runs * Real-robot test support if available * Debugging and performance notes * Reproducible scripts/configs * Git commits * Documentation of setup, results and limitations I’ll focus on clear milestones, reproducible results, and practical integration between the VLA model and robotic manipulation stack. Best regards Ankit

@Abror86

Hi-Abror Here From Uzbekistan. "VLA Robotic Manipulation" - I can integrate your VLA pipeline using ROS2, PyTorch, and MoveIt for reliable robotic experiments. I can integrate existing VLA models with ROS2, simulation, and manipulation workflows while implementing experiments using Python and PyTorch with reproducible research pipelines for validation. I will deliver tested integrations, documentation, Git workflows, and experiment results while ensuring your robotic setup remains reproducible across simulation and real hardware testing phases. Can you share the VLA approach and robot setup details? Looking forward to working with you.

@tyronet2

You need an existing VLA approach connected to a reproducible ROS 2 manipulation pipeline, validated first in simulation and then on the target robot. My strongest match is Python, PyTorch, Linux, computer-vision pipelines, AI model integration, and production-grade experiment tooling; at Marin Software I built Python AI pipelines with structured evaluation, logging, and reproducible deployments. I can study the selected paper and repository, isolate the perception-to-action interface, connect model outputs to ROS 2 actions, and document environment setup, checkpoints, launch commands, test cases, metrics, and failure modes. I would begin with simulation and safety constraints before any UR5 execution, keeping all work versioned in Git. A focused implementation should take 3–4 weeks once the model, simulator, hardware access, and milestones are confirmed. Which VLA repository, ROS 2 distribution, simulator, and UR5 setup are you using?

@InjectAI

Hello, I’m a Robotics & AI Engineer with hands-on experience in **Python, PyTorch, computer vision, deep learning, robotics, Ubuntu/Linux, and autonomous systems**. I have worked with robotics and drone platforms, simulation environments, and AI-based perception/control pipelines. For this project, I can help integrate the existing **VLA/VLM approach into a ROS 2 manipulation pipeline**, including: * ROS 2 and Python-based robotics development * PyTorch and deep learning model integration * Computer vision / VLM-based perception * Robotic manipulation and motion planning * MoveIt 2 integration * Simulation and experiment setup * Git-based reproducible development * Testing, debugging, evaluation, and documentation I’m particularly interested in the research aspect of the project and can work from recent papers to reproduce and adapt their methods for the target robotic setup. I’m available for a focused few-week engagement and can work milestone-by-milestone with clear experimental results and documentation. I’d be happy to review the research problem and experimental setup and propose the implementation plan. Best regards, Abdul Salam

@pooja10verma

As a fellow developer, I appreciate the extent of this multi-disciplinary challenge that the VLA-Manipulator project presents. My deep-rooted skills in Python and my experience in both Robotics and Artificial Intelligence makes me well-suited for what you require. My strong command over Ubuntu/Linux makes troubleshooting seamless while my grip on ROS 2 ensures efficient system integration of the existing VLA approach. Having worked with robust lines of code, I understand the importance of neat documentation. Apart from aligning an already implemented VLA approach into a ROS 2 manipulation pipeline, running experiments in simulation and on real apparatus, my task will also include meticulously documenting the processes which guarantee reproducible results for better understanding and future references. Moreover, I’m familiar with MoveIt 2, Git as well as Universal Robots making me a self-contained option bringing you not only convenience but also reliability. Above all, your proposed time-frame match and the clearly defined milestones added to your project description shows that you are as keen on efficiency and timeliness like me; these attributes would form the bedrock of our professional partnership. Your project needs expertise and innovation(which I bring) together with punctuality (which we uphold). Let's create innovation together!

@bhargav922002

Hello, I’m bharghav, and I bring 10 years of experience in Matching Job Skills, particularly in Python, Linux, and Machine Learning, which aligns perfectly with your project needs. I understand you're seeking a Robotics/AI Engineer for a short-term VLA manipulation project. I can effectively integrate the existing VLA approach with ROS 2, manage simulations, and execute real-robot experiments. Additionally, I will ensure thorough documentation of results to meet the clearly defined milestones. Let’s start a chat so we can delve deeper into the specifics of your project. Best regards, bhargav922002

@hx88xn

As an accomplished AI Engineer with a significant focus on Linux systems and Python programming, I believe my experience is tailor-made for your Vision-Language-Action (VLA) project. I have substantial exposure to ROS 2 and moreover, hold a solid understanding of MoveIt 2 and robotic manipulation. This expertise will be instrumental in integrating your existing VLA approach with a ROS 2 manipulation pipeline. Notably, I have implemented recent robotics research papers which align perfectly with the preference you expressed towards this skill. Additionally, while my work has primarily been in the field of voice-based AI systems, I am no stranger to the broader domain of Artificial Intelligence. My proficiency in Python and PyTorch extends to developing sophisticated AI models that deliver real-time, reliable results. I understand that your project necessitates running both simulation and real-robot experiments, a task at which I excel due to my comprehensive understanding of VLA/VLM models, Ubuntu/Linux, and the use of Git for version control. Lastly, my ability to document reproducible results effectively complies with your requirement to maintain records of the research process. Based on my track record deploying complicated systems for tier-1 banks, digital wallets, utilities, healthcare institutions and more, it is evident that cybersecurity is not an area where you will have to worry while working with me.

@CliveMSoftware

I'm a robotics engineer with proven experience integrating VLM/VLA models into ROS 2 manipulation stacks. I've worked extensively with MoveIt 2, UR robot arms, and PyTorch-based vision models on Ubuntu/Linux systems. I can take your existing VLA approach, integrate it with your ROS 2 pipeline, run both simulation (Gazebo/CoppeliaSim) and real-robot experiments, and deliver clean, documented code with reproducible results. I'm comfortable implementing recent robotics research papers and familiar with the specific challenges of bridging perception to action in manipulation tasks. Let's discuss your experimental setup and milestones so I can deliver exactly what you need within the few-week timeline.

@MuhammadAkif8

Hello, Your VLA manipulation project requires a practical integration between the vision-language model and a reliable ROS 2 robotic manipulation pipeline. I can help implement the existing VLA approach, connect the required components, and document reproducible experiments. First, I’ll set up and verify the Ubuntu/Linux environment, ROS 2 workspace, Python/PyTorch dependencies, Git workflow, and simulation environment. Next, I’ll integrate the VLA/VLM inference with the ROS 2 manipulation stack, including perception, action generation, MoveIt 2 planning, and robot control. I’ll test the complete pipeline in simulation before moving toward real-robot experiments, while tracking failures, results, and configuration details. I’ll also keep the implementation clean and reproducible so the research setup can be extended or evaluated later. If you share the current VLA model, ROS 2 setup, and whether the experiments use simulation or a UR5, I can review the architecture and start with the first milestone. Best regards, Akif H

@igoichsanp

ere is how I will execute your research setup: 1. ROS 2 & MoveIt 2 Environment Architecture: • Setup of Ubuntu/ROS 2 workspace tailored for robotic arm manipulation (e.g., UR5 / Universal Robots package). • Configuration of MoveIt 2 motion planning, kinematic solvers, and trajectory execution nodes. 2. VLA Model Integration & Inference Bridge: • Connecting your PyTorch-based VLA/VLM model to parse visual/text inputs and output continuous or discrete end-effector pose commands. • Implementing custom ROS 2 action servers and topics to bridge high-level action predictions with MoveIt 2 motion planners. 3. Simulation & Validation: • Benchmarking manipulation performance in Gazebo/Rviz under varying target object poses and text prompts. • Verifying collision-free path planning, reachability, and grip execution metrics. 4. Documentation & Reproducibility: • Structuring clean Git repositories with detailed environment setups, launch files, execution scripts, and reproducible test scripts for real-robot deployment. I have extensive hands-on experience in ROS 2, deep learning integration, Linux environments, and robotic manipulation systems.

@adams848

Integrating a VLA policy into a ROS 2 manipulation pipeline usually breaks at the interface, not the model. The policy emits an action representation MoveIt 2 will not take directly, and frame conventions and gripper state rarely match the paper's assumptions. That translation layer is where the time goes. How I would approach it. Reproduce the published result in simulation first, unchanged, so there is a working reference before anything is adapted. Papers omit details and it is cheaper to find that in sim than on a UR5. Then build the action bridge explicitly: policy output to end-effector pose to MoveIt 2 plan, with frame transforms and gripper state handled in one place rather than scattered through callbacks. Log every episode with seed, config and outcome. For a research engagement the reproducibility is the deliverable - a result you cannot rerun is not a result. Simulation before hardware, always, with joint and velocity limits enforced before anything moves. Straight answer on my background. Python and PyTorch are daily tools and I read and implement papers, but my production work has been LLM and vision-language systems rather than UR5 manipulation. I would be strongest on the model and integration side, and I would want the simulation milestone to prove the fit before you commit further. Which VLA are you targeting - OpenVLA, Octo, something else - and is there an existing ROS 2 workspace and sim setup, or does that need building?