- 🏫 B.Tech Mechanical Engineering, IIEST Shibpur (Dept. Rank 3/94)
- 🤖 Researching robotic manipulation, simulation, and embodied AI
- 🧠 Building vision-based control pipelines and learning-enabled robotic systems
- 🛰️ Experience in industrial IoT, edge computing, and digital twins
- 🧪 Strong background in physics-based modeling, CFD, and system-level simulation
- 🛠️ Comfortable moving from CAD → simulation → code → experiments
| Category | Details |
|---|---|
| Programming | Python, C++, C#, MATLAB, SQL, JavaScript |
| ML & Vision | PyTorch, TensorFlow, OpenCV, Scikit-learn |
| Robotics & Sim | ROS (1 & 2), PyBullet, MuJoCo, Isaac Sim, Gazebo |
| Design & CFD | SolidWorks, ANSYS Fluent, COMSOL, OpenFOAM, Blender |
| IoT & Systems | Raspberry Pi, MQTT, WebSockets, InfluxDB, Grafana |
| Infra & Tools | Git, Docker, Linux, LaTeX |
| Research Focus | Robotic manipulation · Digital twins · Learning-based control |
| CV / Resume | 📄 View CV |
| Project | Description |
|---|---|
| 🤖 Vision-Language-Action Control | CLIP-based robotic manipulation pipeline with confidence-aware decision metrics |
| 🛰️ Digital Twin for Robotic Systems | Real-time simulation–physical sync using Isaac Sim & Blender |
| 🦾 MoonBot Rover + RL | 6-wheel rover with articulated arm, PPO locomotion, sim-to-real domain randomization |
| 🔧 IoT-Based Vibration Monitoring | Edge sensors + MQTT + Grafana for predictive maintenance |
| 🌡️ CFD Validation of Cooling Ducts | Cross-solver CHT analysis using ANSYS, COMSOL & OpenFOAM |
- 🔭 Working on learning-based robotic manipulation in simulation
- 🧪 Exploring reinforcement learning and sim-to-real transfer
- 📐 Deepening expertise in robot dynamics, control, and perception
- 🛠️ Building more research-grade simulation pipelines
- ✉️ Email: maneet2018@gmail.com
- 🐦 X: @maneet2018
- 🔗 LinkedIn: Maneet Chatterjee
"Engineering is the art of directing the great sources of power in nature for the use and convenience of man."
— Thomas Tredgold