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Subhash Chandra
Senior AI/ML & Robotics Research Engineer specializing in SLAM and multi-modal perception
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About
Robotics engineer who built a smart campus tour robot on a Kobuki Turtlebot using ROS 1, implementing a full navigation stack (semantic world model, A* planner, tour executor, path follower) and integrating SLAM (gmapping) plus a hybrid reactive safety controller. Experienced taking systems from Gazebo simulation to real hardware, including extensive real-world debugging and Docker-based development to handle ROS/Ubuntu version constraints; planning a move to ROS 2 on Turtlebot 4.
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Key Strengths
- Designed ROS architecture and implemented nodes from scratch
- End-to-end robotics delivery: simulation (Gazebo) to real Turtlebot deployment
- Integrated SLAM (gmapping) with custom planning/execution stack
- Built semantic world model and A* route planner
- Debugged real-world robot issues not present in simulation
- Improved navigation stability by fixing A* visited-node handling causing oscillation
- Strong collaborative troubleshooting (professor + teammate) and research-driven problem solving
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