Robotics Software Engineer | MS Robotics @ WPI (4.0 GPA) | Perception • Manipulation • Control
I build perception based control systems for autonomous robots that operate in unstructured environments. My focus is on deploying robust algorithms on real hardware—not just simulation.
Currently pursuing MS in Robotics Engineering at Worcester Polytechnic Institute with a 4.0 GPA, I specialize in bridging the gap between computer vision and physical robot control.
- 🎯 Perception-Based Manipulation: Vision-guided grasping and object interaction
- 🧠 Control Systems: MPC, LQR, Jacobian-based control for high-DOF systems
- 🔧 Production Systems: Real-time software stacks with ROS 2 on industrial robots
- 📊 Sim-to-Real Transfer: System identification and parameter estimation
Perception & Vision
- Visual-Inertial Odometry (VIO) • SLAM • Structure from Motion
- NeRF • Bundle Adjustment • Deep Learning (PyTorch, Kornia)
- Real-time object detection & pose estimation
Motion Planning & Control
- Model Predictive Control (MPC) • Linear Quadratic Regulator (LQR)
- Jacobian-based control • Trajectory Optimization
- MoveIt 2 • Nav2 • System Identification
Software Engineering
- ROS 2 (Humble) • Gazebo • PyBullet
- Real-time systems • PLC Programming (TwinCAT)
- C++ (modern) • Python • Git
Hardware
- Franka Emika Panda • Intel RealSense D435
- Crazyflie 2.0 • Beckhoff TwinCAT PLC
⭐️ From N-Raghav | Building robots that see, think, and act